About the Role

TailorCare is a value-based musculoskeletal (MSK) care platform combining clinical expertise, digital tools, and a yield-based operating model. We are now operationalizing Operating Model 3.0, a shift from uniform delivery to yield-based alignment, in which every patient receives investment proportional to a real-time Yield Score (Probability × Value × Addressability), and an ROI Gate continuously calibrates Wallet (financial investment) and Muscle (operational intensity).

This requires a data and AI platform that ingests, resolves, scores, decides, and acts in minutes, with the explainability and governance healthcare demands. You will lead that build: set the strategy, design the data platform, drive vendor decisions, and partner with engineering, product, clinical, and operations leadership to deliver it. This is a hybrid strategy-and-architecture role; you will move comfortably from a CTO whiteboard conversation to an EDI 837 parser to a model-evaluation review without losing the thread.

Primary Responsibilities

• Set strategy. Own the multi-year data strategy supporting Operating Model optimization and TailorCare’s extension beyond MSK; frame tradeoffs for the executive team; protect strategic data moats (canonical patient and provider graphs, proprietary outcome labels, and contribute to yield-calibrated decisioning IP)
• Architect the platform end-to-end. Ingestion, event bus, identity resolution, lakehouse, feature store, ROI Gate decisioning, action orchestration, observability. Define the event taxonomy, schema registry, and data contracts that govern how every source flows in
• Lead vendor strategy. Evaluate and select across clearinghouses, clinical networks, claims systems, provider intelligence, conversational AI, CDPs, and more, negotiating export rights, schema stability, and contribute to defining BAA scope. Build payer-neutral patterns from day one
• Set the bar for HIPAA, PHI, and AI governance. Classification at ingestion, field-level access controls, infrastructure-level scrubbing, vendor data governance, training-data lineage, and consent chains.
• Partner across functions. Translate architecture into staffed delivery with each engineering team; collaborate with clinical leadership on Patient Reported Outcome, extraction accuracy, and outcome labels; work with operations to make the intake and data aggregation meaningful.
• Other duties as assigned

Qualifications

• 10+ years working with healthcare data, including 4+ years in architecture or strategy leadership
• Deep hands-on knowledge of healthcare data: X12 EDI (270/271/276/277/278/834/835/837), FHIR R4, HL7 v2 (especially ADT), CCD/C-CDA, NCPDP, and the realities of integrating with payers, EHRs, clearinghouses, and HIEs
• Experience working with AI team developing predictive models and ability to act as the liaison between AI modeling and data platform.
• Proven track record designing production data platforms at scale, streaming and batch, with managed Kafka or equivalent, lakehouse architectures (Snowflake / Databricks / BigQuery), dbt-style orchestration, modern observability
• Solid grounding in ML/AI systems: feature stores, point-in-time correctness, model lifecycle, NLP for clinical text. You evaluate model proposals on their merits
• Direct experience with patient identity resolution (deterministic + probabilistic) and tokenization (Datavant or equivalent)
• Working knowledge of value-based care economics: MLR, attribution, episode costing, risk adjustment, and how reimbursement models shape data requirements
• Demonstrated executive presence: framing tradeoffs, defending recommendations, adjusting when wrong, staying technically credible
• HIPAA-fluent. You engineer PHI minimization, BAA structures, and audit requirements as first-class concerns
• Ability and willingness to travel up to 10% as needed for onsite meetings, team collaboration, and company events.

Preferred Qualifications

• Hands-on experience with at least one major longitudinal claims dataset (Komodo, Truveta, HealthVerity, Optum, IQVIA) and integration
• Highly collaborative and experienced with a broad range of business holders
• Experience integrating clinical data networks
• Experience with conversational AI in a contact-center context (Cresta, Observe.AI, or built in-house)
• Multi-payer scale experience
• Early-stage / scaling startup background, comfort with ambiguity and the ability to make calls without perfect information

What you will deliver in year one

• Be a key leader in driving build vs. buy data acquisition decisions
• Canonical patient master service in production; ≥95% deterministic match rate, documented probabilistic strategy
• Real-time event bus with ≥10 production event types, SLO dashboards, and downstream consumers live
• Real-time ADT, eligibility (270⁄271) and prior-auth (278) integrations live with sub-second response
• Salesforce (TailorCare-captured) clinical operational data fully instrumented
• Clinical data network integration (Health Gorilla or Particle) with NLP extraction on radiology and specialist notes
• ROI Gate v1 deployed, routing ≥80% of newly-identified patients; closed-loop attribution from marketing to outcome operational

What’s In It For You

• Meaningful Work: We are dedicated to our mission and deeply value our patients and each other. Each day offers the opportunity to make a positive impact.
• Work Environment: We operate as a remote-first company with options for a hybrid work model in Nashville.
• Time Off: Our generous paid time off (PTO) and holiday plans ensure you have ample time to rest and recharge.
• Family First: We offer paid parental leave and support a healthy work-life balance, encouraging flexibility and autonomy. We love talking about our family and pets!
• Comprehensive Benefits: From Day 1, employees enjoy medical, dental, vision, life, and disability insurance, wellness resources and an employer HSA contribution.
• Fair Compensation: We are committed to equitable pay for all team members and support your future goals with a 401k plan that includes employer matching.
• Community: We foster an inclusive environment where you can rely on your teammates, share honest feedback, and feel comfortable being your authentic self at work each day.

TailorCare seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. TailorCare is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple.

The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf.

What you’ll do at Jamf:

The Senior BI Analytics Engineer is a core technical role in Jamf’s data organisation. You’ll own the design and delivery of trusted data models across the Jamf Data Platform, from source-aligned staging layers through to the business-facing marts and semantic views that power BI, financial reporting, and product analytics. This is an end-to-end role: you think in systems, not just queries.

You’ll bridge the gap between raw data from backend services and the decisions Jamf needs to make faster, working closely with data engineers, analysts, data scientists, and business stakeholders to ensure data is accurate, well-defined, and genuinely useful. As AI-powered analytics becomes central to how Jamf operates, you’ll also play a key role in building the semantic foundation that enables natural language querying through tools like Snowflake Cortex Analyst. You’ll raise the bar on data quality, drive best practices across the discipline, and help make the Jamf Data Platform a genuine competitive asset.

You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. We are only able to accept applications for those based in one of these locations.

What you can expect to do in this role:

• Design and build robust downstream data models using the Trusted Data Development workflow, covering range of analytics and integration use cases.
• Design and maintain Snowflake semantic views with rich metadata annotation, business definitions, entity relationships, and column-level descriptions, enabling reliable AI-driven and natural language querying via tools such as Snowflake Cortex Analyst.
• Partner with Data Platform and AI Architecture teams to build solutions that bridge structured analytics with natural language interfaces, making Snowflake data reliably queryable by AI agents and business users.
• Set and uphold engineering standards writing maintainable, high-scale SQL and dbt code, leading code reviews, and acting as the code owner and BI reviewer for specific schemas.
• Champion data quality and trusted data models implementing testing frameworks, driving data profiling, and partnering cross-functionally to resolve quality issues at their source.
• Own one or more business stakeholder relationships, translating requirements into well-integrated data designs and ensuring raw data is accurately interpreted across business units, drawing on depth in at least two major data domains such as marketing, sales, finance product, or engineering.
• Drive Data Platform optimisation identifying opportunities to reduce cost and complexity, contributing to the Data Catalog, and leading prioritisation of data governance issues.
• Upskill analysts and business partners through code pairing, training, and documentation scaling data acumen and enabling self-service analytics across the organisation.
• Lead multiple analytics projects from beginning to operationalization
• #LIRemote

What we are looking for:

• Minimum of 6 years in Data as an Analyst, Engineer, Scientist, or equivalent (Required)
• Minimum of 2 years managing the same data model system over time, extending it to satisfy multiple general business use case. (Required)
• Minimum of 4 years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment (Required)
• Minimum of 3 years building and maintaining data models using dbt, with demonstrable experience across modelling layers, testing, and documentation (Required)
• Experience developing semantic views or semantic layer data models designed for LLM or AI integrations, including metadata standards, business glossaries, and column-level descriptions that support reliable AI-driven querying, using tools such as Snowflake Cortex Analyst, dbt Semantic Layer, or equivalent (Required)
• Experience building data solutions that support NLP-based querying, such as Text-to-SQL pipelines or conversational analytics interfaces that operate over structured data (Required)
• Experienced in Scrum or Kanban (Preferred)
• General knowledge of Apple products and SaaS business models (Preferred)
• Ability to communicate complex ideas simply and convincingly
• Ability to listen to stakeholder needs and finds way to deliver well integrated solutions that serve specific needs.
• Significant hands-on experience is the primary requirement for this role. A Bachelor’s Degree in Science, Technology, Engineering, Mathematics, or a related field is one route, but equivalent experience will be considered
• A combination of relevant experience and education may be considered

SECURITY AND PRIVACY REQUIREMENTS

• Participation in ongoing security training is mandatory
• Established security protocols will be adhered to, sensitive data will be handled responsibly, and data protection practices are followed, including understanding relevant privacy regulations and reporting breaches
• Acknowledging the Jamf Code of Conduct, where applicable security and privacy policies can be found, is a requirement of all roles at Jamf

How we help you reach your best potential:

• Named a 2025 Best Companies to Work For by U.S. News
• Named a 2024 Best Technology Company to Work For by U.S. News
• Named one of Forbes Most Trusted Companies in 2024
• Named a 2024 Best Companies to Work For by U.S. News
• Our developers work in agile delivery teams to produce new features, improve software components, and are the subject matter experts for our Jamf product offerings.
• You will have the opportunity to make a real and meaningful impact for more than 75,000 global customers with the best Apple device management solution in the world.
• We constantly push the boundaries of technology, our developers support new innovations and OS releases the moment they are made available by Apple.
• Several Jamf engineers are named in patents and with team names like CatDog, ThunderSnow and Dalek you can expect to have some fun while building cutting-edge software.
• You will have the opportunity to work with a small and empowered team where the culture is based on trust, ownership, and respect.
• We offer a clear career path that enables you to grow under supportive leadership and management
• Visit our Jamf Engineering blog to learn more about the innovative projects our team is working on and what we learn from each challenge we solve. A blog written by engineers, for engineers at medium.com/jamf-engineering
• 22 of 25 world’s most valuable brands rely on Jamf to do their best work (as ranked by Forbes).
• Over 100,000 Jamf Nation users, the largest online IT community in the world.

Pay Transparency

At Jamf, base pay is one part of our total compensation package and is set within a defined range. These ranges can vary based on hiring location. Where an individual’s pay falls within that range depends on several factors, including role scope, location, budget, skills, experience, and qualifications. This approach helps ensure fair, competitive pay and provides room to grow as you develop in your role.

Pay Transparency Range

$103,100—$186,780 USD

What it means to be a Jamf? We are a team of free-thinkers, can-doers, and problem-crushers. We value humility and the relentless pursuit of knowledge. Our culture flows from a spirit of selflessness and relentless self-improvement - driving both personal growth and collective progress throughout our company. We unite around common goals while respecting personal approaches, believing that fulfilled individuals create a thriving, vibrant workplace.

Our aim is simple: hire exceptionally good people who are incredibly good at what they do and let them do it. We provide the support and resources to let everyone be their authentic, best selves at work, at rest, and at play. We are committed to supporting the continual improvement of Apple in the workplace, the organizations that rely on them and the people who keep it all running smoothly.

Above it all, waves our banner of #OneJamf – and the knowledge that when we stand together, we accomplish so much more than we could alone. We seek individuals who share this unwavering journey toward growth to join us in our quest for constant improvement.

What does Jamf do? Jamf extends the legendary Apple experience people enjoy in their personal lives to the workplace. We believe the experience of using a device at work or school should feel the same, and be as secure as, using a personal device. With Jamf, customers are able to confidently automate Mac, iPad, iPhone and Apple TV deployment, management, and security – anytime, anywhere – to protect the data and applications used by employees in the workplace, students learning in the classroom, and streamline communications in healthcare between patients and providers. More than 2,500 Jamf strong worldwide, we are free-thinkers, can-doers, and problems crushers who are encouraged to bring their whole selves to work each and every day.

Get social with us and follow the conversation at #OneJamf

Jamf is committed to creating an inclusive & supportive work environment for all candidates and employees. Candidates with disabilities or religious beliefs are encouraged to reach out if they need additional support or alternative options to our recruiting processes to accommodate their disability or religious belief. If you need an accommodation, please contact your Recruiter or Recruiting Coordinator directly. Requests for accommodation will be handled confidentially by Recruiting and will not be shared with the hiring manager. Jamf is an equal opportunity employer and does not discriminate against individuals who request reasonable accommodation for disability or religious beliefs. To request accommodations please email us at recruiting@jamf.com

Description

Job title: Data & GIS Analyst

Location: Bogotá, Colombia

Contract: Permanent, local and full-time

Starting date: ASAP (July 1, 2026)

PUR Description

PUR is a global, impact-focused B-Corp specializing in the development of environmental restoration projects, known as ‘nature-based solutions’ (NbS). Since 2008, we have been helping the world’s largest organizations meet their ESG targets, reduce their environmental footprint, and regenerate the ecosystems they depend on across complex supply chains. Having developed over 45 projects in more than 30 countries, PUR is recognized as both a pioneer and leader in a sector that is now at the forefront of global efforts to address the ongoing climate and biodiversity crisis.

At the heart of our mission is a commitment to fostering and operationalizing insetting strategies—interventions by companies within their own value chains designed to reduce GHG emissions while creating positive impacts for communities, landscapes, and ecosystems. By championing this insetting approach, we aim to create a holistic range of benefits that extend beyond ecological restoration, encompassing social and economic dimensions through enhanced agricultural yields and resilience to climate change-induced stresses, among others.

One of the distinctive features of our work is our ability to tailor projects to the specific needs of different regions and communities. By recognizing the unique characteristics of each ecosystem and the cultural context of the communities involved, we ensure our initiatives are contextually relevant and have a meaningful and sustainable impact. All our projects are developed in close collaboration with local actors, including cooperatives, NGOs, governments, and corporations. Today, we employ 200 staff across 16 countries with key offices in Paris (HQ) and Toronto.

About the role

The GIS & Data Analyst plays a key role in supporting both operational data systems and geospatial analyses across regional projects. This hybrid position combines data analysis and operational data support responsibilities (approximately 80% of the role) with GIS and geospatial analysis functions (approximately 20% of the role). The position collaborates closely with Operational teams, Technicians, and the Central Data Team, including Geospatial Analysts and Data Engineers, to ensure data quality, workflow efficiency, and accurate spatial representation of field activities.

On the data analysis side, the GIS & Data Analyst helps ensure a smooth and reliable data collection experience for Operational teams and Technicians. The role is responsible for coding and maintaining data collection forms, troubleshooting occasional issues in the data pipeline, and serving as the first line of support for local teams when data-related bugs or inconsistencies arise. Additionally, the analyst identifies operational trends and local behaviors through data analysis, generating insights that can be studied, standardized, and potentially scaled across regions to improve operational efficiency and decision-making.

On the GIS side, the GIS & Data Analyst supports the organization’s geospatial data infrastructure, analyses, and workflows, contributing to Nature-Based Solutions (NBS) and Technology-Based Solutions (TBS) initiatives, including carbon certification processes. The role assists in the preparation of maps, spatial analyses, and geospatial visualizations that support internal teams, executive reporting, and external stakeholders such as carbon rating agencies, verifiers, and auditors. Working alongside the Central Data Team, the analyst helps ensure that geospatial datasets accurately reflect field realities and are properly integrated into broader organizational systems and reporting frameworks.

This role requires a strong combination of analytical thinking, technical problem-solving, data management, and geospatial analysis skill

Your responsibilities will be, but not limited to:

On the Data side you will:

• Code data collection forms (frequent) and dashboards (occasionally) to help with decision-making.

• Train our Pur Ops team and the field technicians and partner on how to use our tools and how to better collect the information.

• Do exploratory/causal analysis of the data we collect to find correlations and trends and transform them into methodologies

• Provide insights into planting and project effectiveness and create visualizations for the data.

• Gather secondary data (e.g. : on geospatial details, land use, crops types, yields etc) that might be relevant for the exploratory analysis.

• Advocate for the Data Department in your region while also communicating to Central Data good insight, local regulations and datasets so it can be integrated into the global data platform.

• Suggest recommendations to improve field data collection and overall data quality based on analytical insights and investigation, as well as technician and producer feedback.

• Communicate with Data Team members in other regions proactively to find common needs between regions and synergies.

On the GIS side you will:

• Analyzing land use change, eligibility and baseline, supporting inventories design and producing maps, as well as ensuring Geospatial Database quality for carbon certifications

• Producing maps and visualizations for the Project team and farmers to better follow up the projects, analyzing distances to better understand performance and increase efficiencies.

• Conducting studies using the baseline the Central Data Team provides, including supporting the Feasibility team with analysis to guide site selection and decision making.

• Writing reports on geospatial analysis findings, including but not limited to Force Majeure reports.

• Complementing the Central Data Team methodology and data library at PUR with datasets and cases from your own region. Producing documentation on the analyses performed.

• Manipulation of vector data.

• Conducting / organizing / supporting any Remote Sensing activities that need to be done on a regional level.

• Conducting pilots inside the Data Teams framework.

• Generally supporting the Projects team in understanding their data and how to strengthen their operations

Requirements

We are looking for a candidate with:

• Degree in computer science, geography, environmental engineering, or related fields.

• A minimum of 2 years of experience in a Data Analyst or GIS Analyst.

• Working knowledge of SQL and Python – working with Jupyter Notebooks is a nice-to-have.

• Working knowledge of Data Visualization (if you have a repository or portfolio, please include the link in your application)

• Working knowledge of geospatial / mapping software tools (e.g. QGIS, Google Earth Engine).

• Knowledge of causal analysis is a differentiator and is a nice-to-have.

• Experience with Digital Products is a nice-to-have.

• Capacity to communicate with both technical and non-technical teams with ease, both in written and verbally.

• Understanding of data governance and best practices.

• Some experience in Sustainability or Impact (or at least a strong interest),

• Fluent in English. French is a differential.

• This is a hybrid position based in Bogota

About StarCompliance

StarCompliance is on a mission to make compliance simple and easy. Trusted globally by enterprise financial institutions, the user-friendly STAR platform empowers organizations to achieve regulatory compliance while safeguarding their integrity and business reputations. Through a customizable, 360-degree view of employee activity, the STAR software enables firms to automate the detection and resolution of potential areas of conflict while streamlining daily workflows and increasing efficiency.

Role

We are seeking a Data & Analytics Engineer to join our existing Data team, helping bridge the gap between data engineering, analytics engineering, and business intelligence. This hybrid role is ideal for someone who is equally comfortable building scalable data platforms and pipelines as they are designing semantic models and insightful dashboards for end users.

You will play a key role in enhancing our external Data Analytics platform, delivering high-quality data products, dashboards, and analytics capabilities to thousands of users across hundreds of clients globally. You will be responsible for ensuring data is accurate, scalable, well-structured, and ready for consumption within Snowflake, while also delivering intuitive visualizations that support customer and internal decision-making.

Our platform utilises a modern cloud-based tech stack featuring Microsoft Azure, Snowflake, and ThoughtSpot, alongside in-house data ingestion and automation tooling. The team embraces modern engineering practices, CI/CD pipelines, Agile methodologies, and emerging AI-assisted development tooling.

We are looking for individuals who challenge ideas respectfully in pursuit of better outcomes. You should be passionate about data, take pride in your work, and proactively drive tasks forward while balancing technical excellence with customer impact.

Responsibilities

• Design, build, and maintain scalable, efficient, and fault-tolerant data pipelines and products using Azure and Snowflake technologies
• Design and maintain dimensional data models and semantic layers for downstream analytics and reporting
• Develop and maintain embedded analytics dashboards and reporting solutions using ThoughtSpot and related BI technologies
• Write efficient, performant, and optimized SQL queries to support analytics and operational reporting requirements
• Collaborate closely with stakeholders, customers, engineers, and product teams to gather requirements and translate them into data solutions and dashboards
• Ensure data platforms, dashboards, and reporting solutions are secure, monitored, scalable, and performant
• Investigate and resolve data quality, pipeline, and reporting issues across the analytics platform
• Contribute to code reviews, engineering best practices, and continual improvements across the data platform
• Contribute to data governance, observability, and quality initiatives
• Run technical spikes and proof-of-concepts for emerging technologies and share findings with the wider team
• Support CI/CD processes, deployment pipelines, and Git-based development workflows
• Participate actively in Agile ceremonies, backlog refinement, estimations, and technical debt management
• Act as a bridge between technical teams and business stakeholders, clearly communicating technical concepts to non-technical audiences

Mandatory Skills, Knowledge or Experience

• Experience in data engineering and/or analytics engineering within fast-paced, large-scale production environments
• Strong proficiency in SQL, including performant query design and relational database concepts
• Experience designing data models using dimensional modelling techniques and star schemas
• Experience building and maintaining production data pipelines and cloud-based data platforms
• Experience with Snowflake and Microsoft Azure technologies
• Proven experience developing dashboards and reports using ThoughtSpot, Power BI, or similar BI platforms
• Familiarity with ETL/ELT processes, data warehousing concepts, and modern data architecture patterns
• Experience with CI/CD processes, Azure DevOps, Git, and deployment pipelines
• Experience with scripting or programming languages such as Python, PowerShell, or C#
• Familiarity with harnessing AI-assisted tooling to deliver faster, higher-quality data services (e.g. Cursor, Claude)
• Strong communication, collaboration, and problem-solving skills
• Comfortable working within Agile development environments

Desirable Skills

• Experience with SnowSQL and advanced Snowflake capabilities
• Experience deploying data products or analytics solutions to external customers
• Experience within the financial services industry
• Knowledge of data governance, data quality, observability, and data security principles
• Experience with tools such as Mend and SonarQube
• Azure, Snowflake, ThoughtSpot, or Power BI certifications
• Experience working with embedded analytics products and customer-facing reporting platforms

StarCompliance Background Checks

All positions require pre-employment screening due to employees potentially having access to highly sensitive and confidential information involving finance and compliance; candidates must be trustworthy and have a heightened sensitivity to protecting confidential financial, professional information.  To be eligible for employment with StarCompliance, candidates must undergo a rigorous background investigation with checks including, but not limited to, criminal record history, consumer credit, employment history, qualifications, and education checks.

Equal Opportunity Employer Statement

We prohibit discrimination and harassment of any kind based on race, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, gender identity or expression, marital/civil union/domestic partnership status, veteran status or any other protected characteristic as outlined by country, state, or local laws.

This policy applies to all employment practices within our organisation, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. StarCompliance makes hiring decisions based solely on qualifications, merit, and business needs at the time. For more information, please request a copy of our Equal Opportunities Policy.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Role

TailorCare is a value-based musculoskeletal (MSK) care platform combining clinical expertise, digital tools, and a yield-based operating model. We are now operationalizing Operating Model 3.0, a shift from uniform delivery to yield-based alignment, in which every patient receives investment proportional to a real-time Yield Score (Probability × Value × Addressability), and an ROI Gate continuously calibrates Wallet (financial investment) and Muscle (operational intensity).

This requires a data and AI platform that ingests, resolves, scores, decides, and acts in minutes, with the explainability and governance healthcare demands. You will lead that build: set the strategy, design the data platform, drive vendor decisions, and partner with engineering, product, clinical, and operations leadership to deliver it. This is a hybrid strategy-and-architecture role; you will move comfortably from a CTO whiteboard conversation to an EDI 837 parser to a model-evaluation review without losing the thread.

Primary Responsibilities

• Set strategy. Own the multi-year data strategy supporting Operating Model optimization and TailorCare’s extension beyond MSK; frame tradeoffs for the executive team; protect strategic data moats (canonical patient and provider graphs, proprietary outcome labels, and contribute to yield-calibrated decisioning IP)
• Architect the platform end-to-end. Ingestion, event bus, identity resolution, lakehouse, feature store, ROI Gate decisioning, action orchestration, observability. Define the event taxonomy, schema registry, and data contracts that govern how every source flows in
• Lead vendor strategy. Evaluate and select across clearinghouses, clinical networks, claims systems, provider intelligence, conversational AI, CDPs, and more, negotiating export rights, schema stability, and contribute to defining BAA scope. Build payer-neutral patterns from day one
• Set the bar for HIPAA, PHI, and AI governance. Classification at ingestion, field-level access controls, infrastructure-level scrubbing, vendor data governance, training-data lineage, and consent chains.
• Partner across functions. Translate architecture into staffed delivery with each engineering team; collaborate with clinical leadership on Patient Reported Outcome, extraction accuracy, and outcome labels; work with operations to make the intake and data aggregation meaningful.
• Other duties as assigned

Qualifications

• 10+ years working with healthcare data, including 4+ years in architecture or strategy leadership
• Deep hands-on knowledge of healthcare data: X12 EDI (270/271/276/277/278/834/835/837), FHIR R4, HL7 v2 (especially ADT), CCD/C-CDA, NCPDP, and the realities of integrating with payers, EHRs, clearinghouses, and HIEs
• Experience working with AI team developing predictive models and ability to act as the liaison between AI modeling and data platform.
• Proven track record designing production data platforms at scale, streaming and batch, with managed Kafka or equivalent, lakehouse architectures (Snowflake / Databricks / BigQuery), dbt-style orchestration, modern observability
• Solid grounding in ML/AI systems: feature stores, point-in-time correctness, model lifecycle, NLP for clinical text. You evaluate model proposals on their merits
• Direct experience with patient identity resolution (deterministic + probabilistic) and tokenization (Datavant or equivalent)
• Working knowledge of value-based care economics: MLR, attribution, episode costing, risk adjustment, and how reimbursement models shape data requirements
• Demonstrated executive presence: framing tradeoffs, defending recommendations, adjusting when wrong, staying technically credible
• HIPAA-fluent. You engineer PHI minimization, BAA structures, and audit requirements as first-class concerns
• Ability and willingness to travel up to 10% as needed for onsite meetings, team collaboration, and company events.

Preferred Qualifications

• Hands-on experience with at least one major longitudinal claims dataset (Komodo, Truveta, HealthVerity, Optum, IQVIA) and integration
• Highly collaborative and experienced with a broad range of business holders
• Experience integrating clinical data networks
• Experience with conversational AI in a contact-center context (Cresta, Observe.AI, or built in-house)
• Multi-payer scale experience
• Early-stage / scaling startup background, comfort with ambiguity and the ability to make calls without perfect information

What you will deliver in year one

• Be a key leader in driving build vs. buy data acquisition decisions
• Canonical patient master service in production; ≥95% deterministic match rate, documented probabilistic strategy
• Real-time event bus with ≥10 production event types, SLO dashboards, and downstream consumers live
• Real-time ADT, eligibility (270⁄271) and prior-auth (278) integrations live with sub-second response
• Salesforce (TailorCare-captured) clinical operational data fully instrumented
• Clinical data network integration (Health Gorilla or Particle) with NLP extraction on radiology and specialist notes
• ROI Gate v1 deployed, routing ≥80% of newly-identified patients; closed-loop attribution from marketing to outcome operational

What’s In It For You

• Meaningful Work: We are dedicated to our mission and deeply value our patients and each other. Each day offers the opportunity to make a positive impact.
• Work Environment: We operate as a remote-first company with options for a hybrid work model in Nashville.
• Time Off: Our generous paid time off (PTO) and holiday plans ensure you have ample time to rest and recharge.
• Family First: We offer paid parental leave and support a healthy work-life balance, encouraging flexibility and autonomy. We love talking about our family and pets!
• Comprehensive Benefits: From Day 1, employees enjoy medical, dental, vision, life, and disability insurance, wellness resources and an employer HSA contribution.
• Fair Compensation: We are committed to equitable pay for all team members and support your future goals with a 401k plan that includes employer matching.
• Community: We foster an inclusive environment where you can rely on your teammates, share honest feedback, and feel comfortable being your authentic self at work each day.

TailorCare seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. TailorCare is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.

Data Management Consultant

Important Information

Location: Makati City

Experience: at 10 years relative experience

Work Mode: Hybrid set up | 2x onsite per week

Job Summary

The Data Management Consultant will play a key role in supporting enterprise-wide data management, analytics, and transformation initiatives across the organization. The role partners closely with business, technology, analytics, architecture, and governance teams to strengthen enterprise data capabilities, improve reporting and analytics practices, and enable data-driven decision-making.

This position requires a balance of strategic thinking and hands-on execution. The Consultant will contribute to initiatives related to data maturity assessments, data quality improvement, governance enablement, analytics and reporting enhancement, architecture alignment, and enterprise data transformation programs.

The ideal candidate is comfortable working across both business and technical environments and is capable of translating business requirements into scalable, practical, and sustainable data and analytics solutions

Responsibilities and Duties

• Support enterprise data management and analytics initiatives across governance, architecture, reporting, analytics, integration, and transformation workstreams.
• Conduct and support Data Maturity Assessments across key capability areas including data governance, data quality, architecture, analytics, operating model, and data lifecycle management
• Perform and support Data Quality Assessment activities including data profiling, validation, reconciliation, root cause analysis, issue management, and remediation planning
• Collaborate with business and technical stakeholders to identify data gaps, reporting inconsistencies, integration issues, and process improvement opportunities.
• Support the development and implementation of enterprise data standards, governance policies, operating models, and best practices.
• Assist in defining and maintaining critical data elements (CDEs), data ownership structures, metadata, business glossaries, data lineage, and reporting definitions.
• Support analytics and reporting initiatives by helping ensure data accuracy, consistency, scalability, and trustworthiness across enterprise reporting platforms.
• Work closely with architects, engineers, analysts, and project teams in evaluating and supporting data and analytics solutions
• Support enterprise transformation and modernization initiatives involving cloud-based data platforms, data warehouses, analytics ecosystems, and data integration solutions.
• Prepare assessment outputs, dashboards, reports, presentations, and executive-level materials related to enterprise data and analytics initiatives.
• Facilitate workshops, stakeholder discussions, working sessions, and requirements gathering activities across business and technical teams.
• Support roadmap development, prioritization, and implementation planning for enterprise data and analytics initiative

Qualifications:

• Minimum of 10 years of experience in Data Management, Data Governance, Data Quality, Data Analytics, Data Architecture, or related disciplines.Minimum of 10 years of experience in Data Management, Data Governance, Data Quality, Data Analytics, Data Architecture, or related disciplines.

  • Data Governance
  • Data Quality Management
  • Enterprise Data Management
  • Data Architecture Concepts
  • Analytics and Reporting
  • Data Integration and Data Flow Concepts

  Strong understanding of:

  • Enterprise Transformation and Modernization Initiatives

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Data Management Consultant

Important Information

Location: Makati City

Experience: at 10 years relative experience

Work Mode: Hybrid set up | 2x onsite per week

Job Summary

The Data Management Consultant will play a key role in supporting enterprise-wide data management, analytics, and transformation initiatives across the organization. The role partners closely with business, technology, analytics, architecture, and governance teams to strengthen enterprise data capabilities, improve reporting and analytics practices, and enable data-driven decision-making.

This position requires a balance of strategic thinking and hands-on execution. The Consultant will contribute to initiatives related to data maturity assessments, data quality improvement, governance enablement, analytics and reporting enhancement, architecture alignment, and enterprise data transformation programs.

The ideal candidate is comfortable working across both business and technical environments and is capable of translating business requirements into scalable, practical, and sustainable data and analytics solutions

Responsibilities and Duties

• Support enterprise data management and analytics initiatives across governance, architecture, reporting, analytics, integration, and transformation workstreams.
• Conduct and support Data Maturity Assessments across key capability areas including data governance, data quality, architecture, analytics, operating model, and data lifecycle management
• Perform and support Data Quality Assessment activities including data profiling, validation, reconciliation, root cause analysis, issue management, and remediation planning
• Collaborate with business and technical stakeholders to identify data gaps, reporting inconsistencies, integration issues, and process improvement opportunities.
• Support the development and implementation of enterprise data standards, governance policies, operating models, and best practices.
• Assist in defining and maintaining critical data elements (CDEs), data ownership structures, metadata, business glossaries, data lineage, and reporting definitions.
• Support analytics and reporting initiatives by helping ensure data accuracy, consistency, scalability, and trustworthiness across enterprise reporting platforms.
• Work closely with architects, engineers, analysts, and project teams in evaluating and supporting data and analytics solutions
• Support enterprise transformation and modernization initiatives involving cloud-based data platforms, data warehouses, analytics ecosystems, and data integration solutions.
• Prepare assessment outputs, dashboards, reports, presentations, and executive-level materials related to enterprise data and analytics initiatives.
• Facilitate workshops, stakeholder discussions, working sessions, and requirements gathering activities across business and technical teams.
• Support roadmap development, prioritization, and implementation planning for enterprise data and analytics initiative

Qualifications:

• Minimum of 10 years of experience in Data Management, Data Governance, Data Quality, Data Analytics, Data Architecture, or related disciplines.Minimum of 10 years of experience in Data Management, Data Governance, Data Quality, Data Analytics, Data Architecture, or related disciplines.

  • Data Governance
  • Data Quality Management
  • Enterprise Data Management
  • Data Architecture Concepts
  • Analytics and Reporting
  • Data Integration and Data Flow Concepts

  Strong understanding of:

  • Enterprise Transformation and Modernization Initiatives

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Headquarters: Avenida Engenheiro Luís Carlos Berrini, 1511, São Paulo, São Paulo, Brasil, 04571-011
URL: http://cadastra.com

Description

Quer evoluir constantemente, trabalhar em equipe e gerar um impacto real e de alto desempenho no mercado? Junte-se a nós!

Como CRM Analista Sênior, você será responsável por realizar a gestão do relacionamento de diferentes clientes, além de ter autonomia para resoluções mais técnicas e estratégicas. A pessoa analista cria ações considerando o crescimento de maturidade digital, a evolução dos canais e a geração de cases.

Essa posição é para atuar de forma híbrida (3x presencial e 2x remoto), no escritório de São Paulo.

Responsibilities

No time de CRM você terá o desafio de:

• Gerir uma operação integrada e multicanal dentro do Salesforce Marketing Cloud;
• Organizar a estrutura de dados dentro da plataforma;
• Desenvolver estratégias para aquisição, ativação, engajamento e retenção;
• Realizar a gestão, limpeza e clusterização da base de dados;
• Estruturar a gestão de projetos, reuniões com cliente e apresentações de materiais;
• Desenvolver entregas e demandas a partir da metodologia ágil;
• Realizar análises de performance, conversão e engajamento;
• Criar dashboards e realizar a relatoria recorrente;
• Criar e construir réguas de relacionamento complexas;
• Desenvolver automações, SQLs e construir a extração dados;
• Realizar treinamentos e auxiliar no desenvolvimento técnico dos assistentes.

Prerequisites

O que a Cadastra espera de você:

• Vivência com atendimento e relacionamento com clientes;
• Experiência com a plataforma Marketing Cloud (estratégia e operação);
• Experiência com análise de métricas, criação e apresentação de relatórios;
• Capacidade investigativa e analítica;
• Comprometimento e organização;
• Sempre disposto a aprender e se desenvolver;
• Seja proativo para implantar melhorias;
• Comunicação clara e eficiente.

Experiences

O que oferecemos:

• Vale alimentação e refeição no cartão FLASH🥗
• Auxílio Home Office no cartão FLASH 💳
• Plano de saúde 🩺
• Plano odontológico 🦷
• Day off de aniversário + valor depositado no cartão FLASH🎉
• Licença-maternidade e paternidade estendida 🍼
• Participação nos lucros (PLR) 💰
• Seguro de vida 🧡
• Auxílio creche 👶
• Bônus por indicação 💰
• Vale-transporte 🚍
• Clude | Plataforma de Saúde 🩺
• Total Pass 🏋🏽‍♀️

To apply: https://weworkremotely.com/remote-jobs/cadastra-100-remoto-crm-analista-senior-marketing-cloud

We are currently looking for a Data Scientis to strengthen the Cronos Europa team.

Location: Near-site (accessible within 2 hours from Brussels) - Remote work possible

Responsabilities:

• Provision of expert advice and assistance, technology watch, evaluation studies, architectural considerations, applicable standards, solution patterns and best practices in following areas of expertise: Business Intelligence, Data Analytics, Artificial Intelligence.
• Design, development and deployment of AI-powered applications using Retrieval-Augmented Generation (RAG) and LLM-based architecture.
• Development of NLP pipelines for document processing, summarization, semantic search and conversational AI
• Implementation of machine learning models (supervised / unsupervised) for recommendation systems, classification and prediction
• Design and optimisation of data ingestion and transformation pipelines in cloud environments (Azure, Databricks, APIs)
• Data modelling, data analysis and preparation of datasets for machine learning and AI solutions
• Integration of AI solutions with existing enterprise systems and data platforms
• Contribution to the design of data lake architectures and ETL processes (Bronze/Silver/Gold layers)
• Development of analytics and reporting solutions (e.g. Power BI dashboards)
• Participation in technical working groups, progress meetings and meetings with the users.
• Assistance during relevant parts of testing, analysis, technical documentation, deployment, evaluation and reporting

Technical skills:

• Data Mining, data preparation for Machine Learning / Deep Learning algorithms.
• Machine Learning / Deep Learning techniques in solutions development.
• Natural Language Processing (NLP), including semantic search, text processing and conversational AI applications
• Data science / data analytics tools and technologies such as Python, LLM frameworks like Haystack, Tensorflow, PyTorch, Jupyter Notebook, etc…
• Data engineering and data processing pipelines (ETL, APIs, Azure Databricks, Spark)
• Good knowledge of data modelling, data warehouse and data lake architecture
• Experience with BI and reporting tools (e.g. Power BI)
• Docker containerisation and software virtualisation and deployment is an asset
• Knowledge of project management methodologies (Agile, Scrum) is an asset.
• Good knowledge of architecture best practices and patterns.

Non-Technical skills :

• Capability of integration in an international/multicultural environment, rapid self-starting capability and experience in working in team;
• Ability to participate in multilingual meetings;
• Ability to work in multi-cultural environment, on multiple large projects; • Excellent Team Player
• Ability to understand, speak and write English (C1), French (B1) will be an advantage;
• High degree of discretion and integrity is required as the applications managed and maintained in the unit could contain personal and confidential data

Spécific Expertise :

• at least 2 years of prompt engineering for LLMs
• at least 5 years of Data / systems
• at least 3 years of BI / reporting

Profile :

• Bachelor’s or Master’s degree in IT, Business Management, or a related field.
• Ability to analyze complex issues and develop effective solutions.
• Good communication and interpersonal skills.
• Fluency in English is required, French is a strong asset.

Why Cronos Group?

We’ll propose you:

• An attractive salary package
• A good work-life balance environment
• The assurance of working in cutting-edge technologies in an entrepreneurial spirit.
• The opportunity to develop your skills thanks to tailor-made training courses according to your needs
• A good job in a friendly place

If you wish to integrate a dynamic structure on a human scale while working with the latest technologies, don’t wait anymore and join Cronos!

Job Title: Data Analyst

Infopro Digital, the B2B group specialising in information and technology, is currently looking for a Data Analyst on a permanent contract to strengthen the team at its Barbour ABI business.

Barbour ABI powers the UK built environment with the best intelligence to help our clients grow. Best known for our construction project leads, our portfolio includes analytics, market research reports and bespoke consultancy. With over 1.7 million projects in our dataset, our products and services are renowned for their accuracy, depth, and efficacy.

Join Barbour ABI and get the best of both worlds

Working at Barbour ABI will provide you with the exciting challenges and autonomy you are looking for within a dynamic and nimble SME, but backed by the growth plans and structure of a global business, Infopro Digital, with 4000+ employees and leading intelligence brands in 24 countries.

Role Overview:

In this role you will work for the Head of Client Analytics, with a focus on providing support across the business.  The Analyst team operate across a range of qualitative and quantitative research projects covering construction application trends and research as well as broader projects on market sizing, brand positioning, market scoping and new product development research and testing. We use a blend of primary research in the form of surveys, focus groups, interviews and trials, along with secondary research including data gathering and analysis, studies on company and product information. Our clients can be varied, they range from product manufacturers and industry associations through to service providers, retailers of construction products and government bodies.

Location: Hybrid, includes 3 days a week at our Head Office on the Cheshire Oaks - Business Park, Ellesmere Port (15 minutes by car from Chester).

Key Accountabilities:

• Your primary role will be to collect, analyse, and work with the data, to produce meaningful reports, dashboards, data sets, and analysis for our consultancy clients, with the aim of enabling them to understand their market position.

• This role will be particularly focused on the data used to build market profiles - from granular to macro levels, across products, sectors, and regions. You will need to be adept at bringing together data from multiple sources to create a detailed and verified view of the market. Key data sources include Barbour ABI construction project data, company portfolio data, client data, and external data sources e.g., from government statistics and industry monitors.

• The role requires excellent management of data inputs including clarity of definitions, data verification and quality checking, adherence to data transfer protocols and management of appropriate update cycles.

• While building reliable, flexible data sets is fundamental, being able to present data, and the stories it holds, in an accessible and informative way is essential. You will need to enjoy finding clear and engaging ways to present data in multiple formats – from word and PowerPoint to datasheets and interactive dashboards.

• You will be required to support the business on the specification, testing and launch of new data related products.

• There is great scope in this role to contribute to the developing data architecture as we build data sharing capacities with our clients and our European partner companies.

• You will also be supporting the internal business analytics team to further develop internal reporting frameworks and tools.

Experience

It is essential that you have the following experience gained either academically or in the workplace:

• Experience in data management and working with large data sets – queries, cleansing, data verification
• Strong data analysis skills, especially the ability to derive insight from data
• Experience using and configuring data visualisation tools such as Power BI, Tableau, Google Analytics
• Previous experience in research looking at data and statistics, especially company data and official statistics and reports
• An analytical, questioning mindset
• Excellent attention to detail
• Ability to work independently and as part of a team
• Experience in trends analysis and market forecasting
• As all our work is on markets associated with the built environment. You will need to demonstrate either experience or a strong interest in the built environment, the economy and consumer trends.

Qualifications

It is also desirable that you have a Degree or equivalent qualification in one of the following relevant disciplines:

• Maths/ Statistics / Data Analytics / Data Science/ Business Analytics
• Or a degree with strong quantitative/statistical components

Just some of the benefits that await you:

• 3pm finish on a Friday
• Hybrid working for everyone
• 25 to 30 days holiday
• Day off for your birthday
• Purchase extra holidays
• Volunteering days
• Pension and Life Assurance
• Great company culture that offers professional development, training and regular social events

Our Foundations and Values:

At Infopro Digital, we are driven by core values such as entrepreneurial spirit, constant customer focus, promoting diversity, striving for significant impact, and a collaborative culture. By joining us, you become part of a dynamic community that embraces these values on a daily basis, shaping the future with passion and commitment.

Diversity is one of our core values. We are convinced that our teams, drawn from all backgrounds and with different backgrounds and experiences, are one of the key drivers of our success. The Group is committed to a policy of equal opportunities and inclusion, from recruitment to career development, and we strive to provide an equitable working environment to promote the well-being of our teams.

Who are we?

Infopro Digital is a B2B group specialising in information and technology. With a presence in 26 countries, the group has over 4,000 employees of 79 nationalities. Infopro Digital connects professional communities. Our brands are leaders in the five key economic sectors: construction and public sector, automotive, industry, risk & insurance, and retail. With our solutions, our customers make informed decisions and companies develop their business and sustainable performance. Are you a passionate professional looking for new opportunities? Don’t wait any longer and  join Infopro Digital’s community of professionals!

Equal Opportunities

We provide equal opportunities to employees and job applicants and do not discriminate either directly or indirectly, because of any protected characteristic or any other characteristic or activity protected by law. To fully comply with all laws prohibiting discrimination in all phases of employment, we have set up a system of monitoring all job applications, we therefore ask you to complete the equal opportunities questions on this form.

This information will be collected anonymously, in confidence and will not be seen by anyone directly involved in the hiring process, it will be stored separately and used only to provide statistics for monitoring purposes. There is no obligation on you to provide information. All applicants will be treated the same, whether or not they provide this information.

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours.

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

In this role, you will be a key analytical partner to the Ranking team — the team that determines what millions of travelers see when they search and explore GetYourGuide. You will collaborate closely with engineers, data scientists, and product managers across the entire experimentation lifecycle, from hypothesis design and metric selection through rigorous statistical analysis to executive-ready recommendations.

A core part of your work will be developing and scaling the statistical methods the team relies on to evaluate ranking changes with confidence. You will also drive strategic analytical initiatives — such as long-term marketplace value modeling — that shape the future direction of the product. Beyond experimentation, you will be the bridge between ranking’s technical complexity and the rest of the organization, translating how and why activities appear where they do into insights that product, supply, and teams across the company can act on. Ultimately, you will ensure the team is solving the right customer problems, advocate for the product to develop in the right direction, build the measurement frameworks to prove it, and create the shared understanding that enables the entire company to leverage ranking effectively.

Your mission

• Own the analytical problems that matter most for ranking — from experimentation methodology to marketplace modeling — and turn them into solutions that directly shape the team’s roadmap.
• Deeply understand the methodological challenges of evaluating ranking, find rigorous solutions, and systematize them into the team’s production workflows.
• Drive the strategic analytics — such as long-term value modeling and marketplace dynamics — that determine where ranking goes next.
• Make ranking understood and leveraged across the company, serving as a thought partner to product, supply, and leadership on how ranking can work for them.
• Champion hypothesis-driven development and rigorous evaluation as the standard for how the team and the broader organization make decisions.

Your toolkit

• 5+ years of experience in an analytics or data science role, interpreting data to drive business decisions.
• Strong statistical foundation: you have solid knowledge of advanced statistical methods (e.g. causal inference, difference-in-differences, regression analysis, propensity score matching, sequential testing, etc.) — and you’ve applied them in a business context where the consequences were real. You are clear on the assumptions behind your methods, know when they break down, and can spot a flawed approach from a conversation about it.
• Experience with experimentation at scale: you’ve worked with A/B tests, understand runtime estimation, and have opinions on when standard methods fall short. You’ve seen what can go wrong and know how to design around it.
• Production-grade coding in SQL and Python. You’ve owned code that runs in production — whether that’s pipelines, an experimentation platform, BI tooling, or another data application.
• Experience working with data products or machine-learning-powered applications.
• Outstanding communicator: you write clearly, present confidently, and can align a room of opinionated engineers, PMs, and execs on the way forward. You can go deep into a technical discussion but also explain a complex system like ranking to someone without technical expertise — and have them walk away with a real understanding of it.
• Comfortable with ambiguity: this is not a ticket-taking role. You’ll need to identify what matters, frame the problem, and drive it forward.

Extras that give you an edge

• Experience with ranking, search, or recommendation systems that drive meaningful revenue — especially in a marketplace context.
• You have built AI-powered products — whether consumer-facing, internal tools, or productivity workflows.
• Experience contributing to a software repository: you know what GitHub and CI/CD stand for, and the difference between pushing code to a branch and deploying it.

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.

#LI-Hybrid

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours.

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

As a Senior Decision Scientist in the Traveler Analytics team, you will help drive measurement, strategy, and tactical decision-making within GetYourGuide. You will solve problems that could range from understanding how to best display our inventory to travelers; how can travelers explore, refine and compare; or developing a way to measure whether our customers’ on trip experience is optimal.

Your mission

• Develop quantitative analysis to understand customer problems and drive product decisions
• Help the Traveler group to learn about their features’ impact by designing and analyzing Experiments.
• In collaboration with stakeholders identify opportunities and dependencies.
• Collaborate with Products and Engineering leads to develop a comprehensive understanding of end-to-end product experience.
• Design and implement data models, metrics and dashboards to guide the teams’ product strategy and success.
• Support the technical teams in tracking and producing more insightful data.
• Contribute to the learning and experimentation culture of the company by promoting hypothesis-driven product development and evaluation.
• Answer the big questions to push our knowledge of our customers further.
• Contribute to the strategic thinking of the team by being a thought partner to the Product Manager.

Your toolkit

• 5+ years of relevant experience interpreting data in an analytics or data science role.
• Previous experience working with agile product teams.
• Excellent stakeholder management & communication skills.
• Strong knowledge of SQL and Python
• Strong experience designing and analyzing product experiments (eg. AB testing or quasi experiments)
• Strong statistical background and proficiency with advanced statistical methods (e.g. causal inference methods, difference-in-differences, regression analysis, propensity score matching)
• Ability to understand user behavior and meaning behind the numbers, and translate them into actionable insights
• Systems-oriented thinking, ability to connect the dots between multiple parts of the business in order to understand overall customer experience.
• Practical, solution-oriented mindset with a focus on driving customer and business impact.
• Desire to work in an international environment, with minimal direction in ambiguous situations and with highly engaged individuals.

Extras that give you an edge

• Experience processing event tracking data at scale.
• Familiarity with machine learning evaluation or model-driven personalisation is a plus.
• Experience with data visualization and reporting tools (e.g. Looker, Jupyter Notebooks)
• Experience with marketing experimentation
• Experience with LLM (OpenAI, Gemini, Anthropic).

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.

#LI-Hybrid

Description

At Euronet, we don’t just build payment solutions—we shape the future of how the world moves money as a global leader in payments processing and cross-border transactions. From mobile wallets and card issuing to real-time payment platforms, our products drive digital transformation in 160+ countries.

We’re looking for a Transaction Data Analyst to become a part of our talented team.

Your Life @Euronet

As a #Euronetter, you’ll be part of a truly human-centered culture built on trust, respect, and cooperation. Your contributions will be recognized, and your growth supported through meaningful career development opportunities.

Perks & Benefits That Matter

• Good Base Salary
• Cafeteria above the market average
• Bonus based on company performance
• Health care package
• Work from home 2 days a week in our Warsaw office
• Permanent trainings
• Office in a very central location with easy access by public transport
• Excellent career prospects within a multinational organization with leading position in the market and ambitious expansion plans.
• Supportive teams
• Opportunity to work in a dynamic, stable, and international environment.

How You’ll Make an Impact:

Value adding, risk mitigating and business critical activities such as:

• Preparing Settlement Data for Euronet’s Acquiring;
• Process incoming, outgoing files and reports;
• Identify, report and track discrepancies;
• Provide guidance during the investigation of processing issues;
• Prepare weekly and monthly reports, summaries and statistics;
• Support companywide automation projects;
• Provide project management support during UAT and pilot phase;
• Provide data driven feedbacks to the management after the product lunch.

You will have the opportunity to learn transactional processes through Euronet’s systems and between the International Card Organisations (e.g. VISA, MasterCard, JCB, UPI, AMEX, Diners, Alipay).

What Makes You a Great Fit :

• Bachelor’s degree in (preferably) business administration, Finance or Information Technology;
• Previous experience with Data Analysis and Reporting
• Spoken and written English knowledge;
• Microsoft Office (especially Excel);
• Genuine interest in the Payment Card Industry.

What Will Help You Thrive

• Hard-working and can-do attitude
• Excellent analytical and problem solving skills, detail-oriented approach
• Team player attitude as you can really contribute to team success.

At Euronet, we are an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours.

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

In this role, you will be a key analytical partner to the Ranking team — the team that determines what millions of travelers see when they search and explore GetYourGuide. You will collaborate closely with engineers, data scientists, and product managers across the entire experimentation lifecycle, from hypothesis design and metric selection through rigorous statistical analysis to executive-ready recommendations.

A core part of your work will be developing and scaling the statistical methods the team relies on to evaluate ranking changes with confidence. You will also drive strategic analytical initiatives — such as long-term marketplace value modeling — that shape the future direction of the product. Beyond experimentation, you will be the bridge between ranking’s technical complexity and the rest of the organization, translating how and why activities appear where they do into insights that product, supply, and teams across the company can act on. Ultimately, you will ensure the team is solving the right customer problems, advocate for the product to develop in the right direction, build the measurement frameworks to prove it, and create the shared understanding that enables the entire company to leverage ranking effectively.

Your mission

• Own the analytical problems that matter most for ranking — from experimentation methodology to marketplace modeling — and turn them into solutions that directly shape the team’s roadmap.
• Deeply understand the methodological challenges of evaluating ranking, find rigorous solutions, and systematize them into the team’s production workflows.
• Drive the strategic analytics — such as long-term value modeling and marketplace dynamics — that determine where ranking goes next.
• Make ranking understood and leveraged across the company, serving as a thought partner to product, supply, and leadership on how ranking can work for them.
• Champion hypothesis-driven development and rigorous evaluation as the standard for how the team and the broader organization make decisions.

Your toolkit

• 5+ years of experience in an analytics or data science role, interpreting data to drive business decisions.
• Strong statistical foundation: you have solid knowledge of advanced statistical methods (e.g. causal inference, difference-in-differences, regression analysis, propensity score matching, sequential testing, etc.) — and you’ve applied them in a business context where the consequences were real. You are clear on the assumptions behind your methods, know when they break down, and can spot a flawed approach from a conversation about it.
• Experience with experimentation at scale: you’ve worked with A/B tests, understand runtime estimation, and have opinions on when standard methods fall short. You’ve seen what can go wrong and know how to design around it.
• Production-grade coding in SQL and Python. You’ve owned code that runs in production — whether that’s pipelines, an experimentation platform, BI tooling, or another data application.
• Experience working with data products or machine-learning-powered applications.
• Outstanding communicator: you write clearly, present confidently, and can align a room of opinionated engineers, PMs, and execs on the way forward. You can go deep into a technical discussion but also explain a complex system like ranking to someone without technical expertise — and have them walk away with a real understanding of it.
• Comfortable with ambiguity: this is not a ticket-taking role. You’ll need to identify what matters, frame the problem, and drive it forward.

Extras that give you an edge

• Experience with ranking, search, or recommendation systems that drive meaningful revenue — especially in a marketplace context.
• You have built AI-powered products — whether consumer-facing, internal tools, or productivity workflows.
• Experience contributing to a software repository: you know what GitHub and CI/CD stand for, and the difference between pushing code to a branch and deploying it.

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.

#LI-Hybrid

Job DescriptionWe’re seeking a detail-oriented and analytically driven Data Analyst to join our dynamic and multicultural operations team. In this hybrid role, you’ll be responsible for managing and transforming large datasets...

Job DescriptionWe’re seeking a detail-oriented and analytically driven Data Analyst to join our dynamic and multicultural operations team. In this hybrid role, you’ll be responsible for managing and transforming large datasets...

Company Description

Help us to achieve our goal to be the global leader in total quality services.

With your help we will achieve this by delivering Total Quality 360, a comprehensive suite of cutting-edge services which combine quality engineering, cyber security, conformance & interoperability and content quality to deliver end-to-end total quality solutions.

Here at Resillion, our culture is based on an ‘if you see something, say something’ attitude where we take responsibility. It’s one where we expect to adapt and embrace change as the company grows. It’s based on recognising the individual worth of every one of our employees and developing their skills to keep us all at the forefront of our industry.

Above all, it’s a culture where we’re passionate about what we do, and we’re committed to the greater good of the company.

If you would like to be part of our journey, then this role may be the one for you.

Job Description

Test Analyst – Retail Banking Payments Transformation | Permanent  - Up to £52K | Hybrid Central London - June Start

\*\* ALL APPLICANTS MUST HAVE PREVIOUS RETAL BANKING EXPERIENCE **

Location: Central London (Hybrid)

\*\* Note: Applicants must have 5 years UK address history. We cannot sponsor or transfer ICT visas. **

Role Overview:

Join a trusted retail banking client where we already have a strong delivery presence. As part of the growing engagement, you’ll be a key contributor to a large-scale payments transformation programme, focused on legacy-to-digital migration of critical systems.

This is a hands-on testing role, ensuring high-quality delivery, regulatory compliance, and seamless customer experience. Work closely with Test Managers, business analysts, and developers executing functional, integration, regression, and UAT testing for real-time and faster payments systems.

Key Responsibilities:

• Execute functional, integration, regression, and end-to-end testing
• Validate high-volume and real-time payment flows, including error handling & reconciliation
• Support UAT cycles in collaboration with business users
• Log, track, and manage defects through to closure
• Collaborate with stakeholders, delivery managers, and technology teams
• Provide test evidence, status reporting, and metrics to Test Managers
• Support release validation, cutover planning, and production readiness

Key Skills & Experience:

• Hands-on experience as a Test Analyst in retail banking/financial services
• Experience with real-time/faster payments systems
• Knowledge of legacy-to-digital transformation programmes
• Strong understanding of payments processing, transaction banking, and integration points
• Experience in System, Integration, Regression, and UAT testing
• Strong debugging, analytical, and problem-solving skills
• Excellent communication and stakeholder collaboration
• Awareness of test automation approaches – hands-on automation not required
• Knowledge of BACS, CHAPS, SEPA, ACH, RTGS, and SWIFT
• Experience in high-volume transaction banking environments
• Familiarity with Agile/Scrum delivery models in regulated banking

#TestAnalyst #PaymentsTesting #RetailBanking #DigitalTransformation #RealTimePayments #LegacyToDigital #HybridWorking #UAT #IntegrationTesting #RegressionTesting #ExistingClient #ClientExpansion

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