Data and Analytics Engineer

About UsAt Resonance, we are revolutionizing the fashion sector by fostering a more sustainable ecosystem for designers, brands, manufacturers, consumers, and the environment. Our innovative AI-driven platform, ONE, facilitates efficient and sustainable product design, sales, and manufacturing. By minimizing overproduction and unnecessary inventory, Resonance ONE is committed to reducing the environmental impact of garment creation.Headquartered in New York City and Santiago, Dominican Republic, Resonance collaborates with prominent brands, including THE KIT and Rebecca Minkoff, to achieve significant reductions in resource consumption: 97% less dye, 70% less water, and 50% less material compared to conventional fashion brands.About the RoleWe are on the lookout for a skilled Data and Analytics Engineer to construct, maintain, and expand our data infrastructure. In this pivotal role, you will enhance our analytical capabilities, allowing Resonance to utilize data-driven insights across our intricate technology ecosystem.Your responsibilities will include developing and maintaining efficient ELT pipelines to transform data from various sources—such as telemetry data, Shopify, SendGrid, CreateOne, and other internal platforms—into structured, accessible datasets within Snowflake. Furthermore, you will create advanced LookML models to enable interactive analytics, dashboards, and explorations utilized daily by our business teams.Responsibilities Design, build, and sustain scalable ELT pipelines that reliably convert raw data from sources like Shopify, SendGrid, telemetry services, and proprietary applications (CreateOne) into our Snowflake data lake and data warehouses. Develop efficient and maintainable data models within Snowflake that underpin analytics, reporting, and data-driven decision-making. Create and refine LookML models to facilitate intuitive exploration, dashboards, and actionable analytics for non-technical business users. Work closely with product teams, engineers, and business stakeholders to identify data requirements, gather insights, and deliver impactful data solutions. Continuously enhance data quality, governance, and accessibility while implementing best practices for data management and compliance. Proactively monitor and optimize ELT performance, reliability, and cost-effectiveness. Stay abreast of the latest data engineering technologies, methodologies, and analytics tools to ensure Resonance maintains industry-leading capabilities. RequirementsMinimum Qualifications 4+ years of relevant experience in data engineering, analytics engineering, or a related field. Strong expertise in building robust ELT/ETL data pipelines using contemporary tools and methodologies. Hands-on experience with Snowflake or comparable cloud data platforms....

Pelago is the premier virtual clinic dedicated to Substance Use Management, offering tailored support and treatment for individuals striving to overcome tobacco, alcohol, and opioid dependencies. Our personalized approach addresses unhealthy habits and active substance use disorders, catering to each member's unique health profile, lifestyle, genetics, and aspirations. Our comprehensive suite of virtual services includes educational resources, cognitive behavioral therapy (CBT), and extensive medication-assisted treatment (MAT). Pelago empowers employers and health plans to provide accessible, cost-effective, and effective treatment options for substance misuse. Having scaled our operations to assist hundreds of employers and health plans, we have positively impacted the lives of over 750,000 members in managing their substance use. With our recent Series C funding round, raising over $151 million from top-tier global investors, we invite you to join our mission to enhance the health of individuals everywhere!About Pelago Data:The Data team at Pelago plays a pivotal role in decision-making as we continue to grow. As we evolve our data capabilities, we aim to transform raw data into actionable business insights.We specialize in converting complex healthcare and product data into structured, reliable, and thoroughly documented models that drive reporting, experimentation, AI initiatives, and everyday decision-making throughout the organization.Overview of the Role:We are in search of an Analytics Engineer who is passionate about constructing scalable data models, deeply analyzing business logic, and creating reusable data assets.In this position, you will influence how data is organized and defined at Pelago, ensuring consistency, quality, and usability across various applications—from dashboards to experiments to future machine learning projects.

Tiger Analytics is seeking a Senior Data Scientist with a focus on Agentic AI. This remote position is based in New York, New York. Role overview This role centers on applying advanced analytical methods to complex datasets. The Senior Data Scientist will use machine learning, statistical modeling, and data visualization to help clients make informed business decisions. What you will do Analyze large and varied datasets to uncover actionable insights Apply machine learning and statistical modeling techniques Develop data visualizations that clarify findings for clients Support clients in using AI to improve their business operations Requirements Expertise in machine learning, statistical modeling, and data visualization Experience working with complex datasets Background in Agentic AI is essential

Join the team at The New York Times Company as a Data Engineer focusing on Analytics Data Products. In this pivotal role, you will design and implement data pipelines that drive insights and analytics for our products. Your expertise will contribute to the creation of robust data architectures, ensuring data quality and accessibility for analytics teams.

About UsAt DriveWealth, we are committed to revolutionizing the landscape of investing by ensuring that everyone has the opportunity to shape their financial destiny. Our belief is grounded in the idea that access to financial markets should transcend geographical, economic, and systemic barriers. As a global B2B financial technology innovator, we are on a mission to democratize financial independence worldwide through our state-of-the-art API-based platform. This empowers our partners to deliver seamless investing and trading experiences to clients across the globe, all through mobile devices. Our technology equips partners with a flexible, modern toolkit, facilitating traditional investment processes alongside innovative solutions such as fractional share ownership. DriveWealth has quickly evolved into a comprehensive platform enabling trading in US equities, mutual funds, ETFs, fixed incomes, and options.Now is an exceptional time to join a company that is set to redefine its category, supported by a team poised to seize this opportunity. Our culture intertwines the dynamism and flexibility of a fintech startup with the reliability, impact, and rigor of Wall Street. We foster an environment that champions creativity and experimentation while maintaining a focus on institutional-grade execution and regulatory compliance in every aspect of our operations. Be a part of our journey to shape the future of global investing!About the RoleThe Data & Analytics team is on a mission to create groundbreaking data products that yield actionable insights, enabling our partners to excel. Our focus is on curating and sustaining essential data sources and statistics that benefit both internal and external stakeholders.What You’ll DoAdvanced Engineering & CodingCore Development: Design and develop intricate dbt models and data transformation logic for high-volume financial datasets (trade transactions, order books).Python Automation: Craft production-grade Python scripts tailored for advanced data processing, anomaly detection, and custom orchestration logic beyond SQL capabilities.Performance Engineering: Take charge of the most challenging issues concerning query performance. Refactor legacy code and enhance incremental loading strategies to minimize costs and latency on a large scale.Technical Architecture & StandardsCI/CD & DevOps: Oversee the technical implementation of our data deployment reporting pipelines (Git, dbt Cloud), ensuring robust version control and seamless integration.

About Saaf AIAt Saaf AI, we are revolutionizing the mortgage lending landscape by harnessing the power of advanced artificial intelligence coupled with established lending practices. As a fintech startup integrated into American Heritage Lending—one of the nation's top ten private lenders, managing billions in loan volume across various programs—we are supported by some of the largest asset management firms and investment funds.Our team is fundamentally AI-driven. Every engineer, product decision, and operational workflow is meticulously crafted to answer the question: “How can AI enhance efficiency, intelligence, and reliability?” If you are eager to expand the horizons of your expertise by utilizing the most advanced AI tools and methodologies daily, this role places you at the forefront of data architecture and analytics engineering as we move into 2026 and beyond.The RoleWe are seeking a Senior Data Architect & Analytics Engineer to lead the development and enhancement of our analytics data platform. As our first dedicated data hire, you will be a hands-on architect responsible for shaping how data drives decisions across underwriting, sales, and operations.While the foundational work has been laid, the most thrilling and impactful challenges are still ahead. You will take charge of a platform ripe for growth: developing entity resolution across disparate real estate data, designing enrichment pipelines that convert raw data into actionable insights, constructing the semantic layer essential for AI-driven analytics, and refining the architecture as we expand into new loan programs and data sources.This role is ideal for you if:You have built and managed a comprehensive modern analytics stack from start to finish, rather than simply contributing to one.Data integrity is your top priority from the outset—not an afterthought.You thrive on enhancing a robust foundation and are driven to achieve ambitious goals.You aspire to be the key data figure in a rapidly growing company—enjoying high ownership, significant impact, and a clear trajectory to team leadership.What You’ll OwnAnalytics Platform — Build It, Run It, Evolve ItTake complete ownership of the production data pipeline—from ingesting external real estate and borrower data to transforming it through a multi-layered model (staging → enrichment → business-ready marts) while ensuring its reliability.Create and maintain the semantic layer—comprising model descriptions, metric definitions, and metadata that fuel BI dashboards, AI assistants, and self-service analytics.

About Us Nourish is dedicated to transforming health through improved nutrition. Chronic diseases linked to poor nutrition represent a significant health crisis that often goes unnoticed. Collaborating with Registered Dietitians can provide effective solutions, yet fewer than 1% of eligible Americans actually utilize these benefits. At Nourish, we are developing an AI-driven healthcare system focused on nutrition. Our aim is to enhance health outcomes, reduce expenses, and promote longer, healthier lives. Founded three years ago, we have successfully launched our services across all 50 states, currently supporting thousands of dietitians and hundreds of thousands of patients. We are rapidly expanding, collaborating with national health insurance companies and provider groups, and have secured $115 million in funding from prestigious investors including JP Morgan Growth Equity, Thrive Capital, Index Ventures, Y Combinator, and others. Our angel investors include renowned healthcare entrepreneurs and notable figures such as soccer star Alex Morgan. To learn more about us, click here and read about our recent Series B funding here. About the Role As we scale, data plays a pivotal role in driving growth and enhancing patient outcomes. In the position of Data Analytics Lead, you will oversee all analytics for a key business function, developing our data strategy, tackling complex challenges, and facilitating informed, rapid decision-making across the organization. This position merges analytics engineering with strategic insights: you will create efficient, scalable data models and pipelines while delivering clear, actionable insights that amplify our effectiveness. As a key member of our data team in New York City, you will help shape our long-term data vision and collaborate closely with our Operations, Engineering, Product, and Design teams. Our team operates in a hybrid model, with in-office days 2-3 times a week, welcoming individuals who are eager to engage in our vibrant office culture.

The mission of The New York Times is to seek the truth and help people understand the world. Independent journalism is at the heart of all we do, which is why we have a world-renowned newsroom that sends journalists to report from nearly 160 countries. Our focus on enhancing how readers engage with our journalism is paramount, whether in print, audio, or our digital platforms. Our business strategy is built on delivering journalism of such high quality that it is worth paying for.Role Overview:The Data Platform Mission is dedicated to empowering our organization by providing access to data for critical decision-making, enhancing user experiences, and driving impactful strategic choices that create value. We are in search of skilled Analytics Engineers who can help shape a new function within the Data Platform, focusing on supporting our essential data assets across various domains at The New York Times.As a Senior Analytics Engineer, you will collaborate with diverse teams to manage, enhance, and ensure the quality of data across specific organizational domains, facilitating efficient, data-driven decisions and experiences. You will become a subject matter expert within these domains, playing a crucial role in data initiatives and reporting directly to the Executive Director of Analytics Engineering.Key Responsibilities:Act as a Data Platform Evangelist by offering frameworks, training, and guidance to enable individuals to effectively utilize data platform capabilities and articulate well-defined data requirements.Establish data management frameworks providing clear guidelines for data producers, while collaborating with data platform teams to enhance data quality and accessibility.

About the Role:Rightway Healthcare is seeking a talented Analytics Engineer to enhance and expand our clinical programs. This role focuses on constructing robust analytics frameworks that support our care complete initiatives. As an integral part of our team, you will bridge the gap between analytics engineering, clinical program management, and strategic business decisions. If you have a knack for transforming intricate clinical workflows into clean, actionable data models, this position is tailored for you. Your contributions will be crucial in developing and sustaining our clinical program data models, integrating new data sources, and refining existing ones to facilitate seamless reporting and drive innovation through advanced analytics. You will be responsible for delivering and analyzing data for various use cases within our Unified Data Warehouse (UDW) while operationalizing AI and ML solutions that yield significant healthcare insights.

Fortell develops AI-powered hearing aids built on custom silicon. The company began in a New York audiology clinic and launched its first product four months ago. Now, Fortell is preparing to enter new markets and expand its distribution network. Role overview The Data Scientist - Analytics Engineer leads analytics and data infrastructure for Fortell. This role shapes decision-making across product development, clinical care, marketing, and business operations as the company grows nationally. What you will do Work independently to clarify complex problems and translate data into actionable insights that improve efficiency Build and manage analytics systems, data models, and data platforms Report directly to the co-founder and COO, who brings experience as a former VP of Data Help establish a data-driven culture from the ground up Location This position is based in New York.

DIRECTOR OF DATA ANALYTICS Current is a pioneering consumer fintech platform redefining financial access for everyday Americans, boasting a community of over five million members. Our mission is to provide innovative financial solutions that integrate seamlessly to meet the diverse needs of our members, empowering all Americans to cultivate better financial futures. Based in the heart of New York City, our results-driven culture motivates us to create superior products, accelerate growth, and inspire every team member to make a meaningful impact on our mission to enhance financial outcomes. ABOUT THE ROLE We are on the lookout for an exceptional, hands-on Director of Data Analytics to drive and expand our functional analytics organization. In this pivotal role, you will lead analytics teams embedded within various departments, ensuring that data-driven insights are central to every strategic decision at Current. As a functional leader, you will uphold the standards of analytical excellence, collaborating with department heads to align on overarching strategies while ensuring that your analytics leaders adhere to established frameworks and robust data processes. A technically adept leader, you will delve into root-cause analyses, evaluate analysis designs, and interpret complex experimental results alongside your team. You must possess exceptional storytelling skills to translate intricate data into engaging narratives that foster adoption and stimulate organizational change. RESPONSIBILITIES Steer the analytics function organization-wide, ensuring methodological consistency, toolset uniformity, and quality standards across all embedded teams. Collaborate closely with Department Leads to synchronize analytics roadmaps with broader business objectives and P&L goals. Establish and oversee standardized processes for experimentation, data modeling, and reporting, ensuring adherence to Current’s best practices for data integrity. Serve as a subject matter expert in structuring and guiding in-depth exploratory analyses and business case development. Engage directly with data to tackle the company's most complex challenges. Participate actively in formal reviews for RFCs, experimental designs, and learning briefs, providing critical oversight on success metrics and the interpretation of complex test results. Manage the performance and career development of Analytics Managers and Leads, mentoring to elevate the technical and storytelling capabilities of the organization. Effectively manage team bandwidth and prioritize high-impact initiatives.

DIRECTOR OF ANALYTICS ENGINEERINGCurrent is a pioneering consumer fintech platform that is revolutionizing financial accessibility for millions of Americans. With a community of over five million members, we deliver financial solutions that integrate seamlessly to meet our members' needs, empowering them to build their financial futures. Our headquarters in New York City fosters a results-oriented environment that encourages the development of superior products, rapid growth, and a culture where every team member can make a significant impact on our mission to enhance financial outcomes.ABOUT THE ROLEAs the Director of Analytics Engineering, you will play a pivotal role as both a strategic visionary and a hands-on leader in Current’s data transformation efforts. You will spearhead the Analytics Engineering initiatives for Business Intelligence (BI) and analytics, ensuring that our data and analytics framework is not only scalable and reliable but also in perfect alignment with our business objectives.This high-impact leadership position demands a 'player-coach' approach. You will craft the long-term vision for our data warehouse, oversee the execution of intricate ETL/ELT pipelines, and serve as the key liaison between technical engineering teams, analysts, product managers, and business stakeholders. In addition to managing the tech stack, you will focus on mentorship, organizational structuring, and defining career trajectories for an elite team of analytics engineers.RESPONSIBILITIESDefine and implement the Analytics Engineering and BI strategy. Own the roadmap and P&L for data warehousing, modeling, and business intelligence across the organization.Act as a hands-on engineer when required, optimizing complex SQL, reviewing designs, dbt models, and troubleshooting high-priority pipeline issues.Lead the design and execution of robust dimensional models, data marts, and aggregation layers in BigQuery utilizing dbt and Airflow.Collaborate with various department leaders and stakeholders to transform business requirements into high-fidelity data models that fuel Looker and downstream analytics.Manage and cultivate a world-class Analytics Engineering team, including an offshore team. Establish clear career paths, conduct performance evaluations, and nurture a culture of technical excellence and data curiosity.Create frameworks for data reconciliation, quality management, and security, ensuring organizational confidence in the accuracy and integrity of our data assets.Oversee Business Intelligence tools and frameworks.Encourage the adoption of data models, customer data platforms, business intelligence tools, and reporting frameworks.

LifeMD is hiring a Vice President of Data & Analytics in New York, NY. This executive role shapes how the company approaches data and analytics, setting the direction for data strategy and ensuring the team delivers insights that guide business decisions. Key responsibilities Develop and execute data and analytics initiatives across the organization Manage and mentor a team of data professionals focused on generating actionable insights Implement advanced analytics solutions to support LifeMD’s healthcare mission Promote data-driven decision making to help drive business growth Team and impact This position leads a skilled group of data experts, working together to turn complex information into clear guidance for the company. The work directly supports LifeMD’s commitment to quality and innovation in healthcare.

About RebarRebar is revolutionizing the commercial HVAC, Electrical, and Plumbing supply industry by developing a cutting-edge operating system. Our AI-driven quoting engine is expanding across leading suppliers in North America, making measurement and evaluation crucial to our infrastructure.As a Data Analytics Engineer, your mission will be to construct systems that provide insights into our AI's performance in real-world scenarios—analyzing successes and failures, and assessing their influence on business outcomes. You will establish essential product metrics, create monitoring frameworks, and deliver both internal and customer-facing data products that convert raw model outputs into reliable intelligence.This role sits at the crossroads of AI evaluation, product analytics, and data-driven product development. You will not only develop innovative data products that enhance customer value but also track the real-world performance dynamics of our AI systems, informing internal teams and stakeholders for better decision-making. If you are passionate about building analytic infrastructures and measurement systems as well as addressing significant business questions, this position is tailored for you.Required QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, or a related field.Proficient in Python, skilled in SQL, and experienced with Data Warehousing.Demonstrated experience handling large, real-world datasets and navigating ambiguous problem definitions.Proficient in writing modular, testable analytics code and familiar with version control environments.Ability to design meaningful metrics and evaluation frameworks for complex systems from the ground up.Experience in building data visualizations and dashboards.1–3 years of experience in analytics engineering, data science, or product analytics roles working with production data systems.Excellent communication skills for conveying quantitative insights to both technical and non-technical audiences.ResponsibilitiesDesign and develop data-driven product features utilizing Rebar’s historical datasets.Define, implement, and productionize metrics to monitor AI system performance over time, including automated tracking and monitoring of regressions and drift.Analyze model failure modes across documents, projects, customers, and time, communicating findings effectively...

Counsel Health is hiring an Analytics Engineer for its New York office in Flatiron. The team has built a strong foundation with a cloud data warehouse, ETL pipelines, and event tracking. Now, the focus shifts to unlocking insights from this data. Role Overview This position centers on building and maintaining the semantic layer that powers analytics across the company. The Analytics Engineer develops core data models, ensures reliable business metrics, and becomes the go-to resource for questions like, "How do we measure this?" What You Will Do Design and Maintain Data Models: Create and update models that define key business metrics, including clinical outcomes, revenue, and resource utilization. Set and uphold the single source of truth for these metrics. Orchestrate and Monitor Data Pipelines: Run dbt orchestration with alerting, CI/CD, and data quality checks. Spot and resolve issues before they affect dashboards. Build Reverse ETL Pipelines: Move clean, structured data from the warehouse back into production systems. Support use cases like cohort definitions, marketing analytics, and operational features. Manage Data Compliance: Oversee access controls for PHI data. Ensure the data layer meets HIPAA requirements and remains accessible to those who need it. Qualifications At least 3 years in analytics engineering, data analytics, or a similar data-focused role. Strong skills in SQL and dbt. Experience with BigQuery or other cloud data warehouses (Snowflake, Redshift). Background in a regulated industry (healthcare, fintech, insurance, or government). Experience managing sensitive data and access controls; HIPAA knowledge is a plus. Hands-on with data orchestration tools (such as Paradigm, dbt Cloud, or Airflow) and integrating analytics data into production systems. What Sets You Apart Contextual Thinker: Comfortable translating business questions and ambiguous requirements into clear, well-structured data models. Focused on the needs of stakeholders, not just the technical details.

Join SeatGeek, where we believe live events are transformative experiences that bring people together. With our innovative technology and customer-centric approach, we are revolutionizing the ticketing industry.We are seeking a passionate Analytics Engineer to become a vital member of SeatGeek’s Data team. In this dynamic role, you will collaborate with business stakeholders to facilitate effective data management and insightful analyses. As an Analytics Engineer, you will be instrumental in discovering, extracting, storing, cataloging, modeling, and processing our vast amounts of data. You will take charge of our analytics data layer and will work on extracting data from production databases and third-party sources, designing efficient data models, and orchestrating jobs in Airflow to produce clean, well-documented datasets that are ready for analysis. This role requires strong collaboration, as you will maintain relationships with analysts and production engineers to unlock the value of our data. Your contributions will play a crucial part in our mission to position SeatGeek as the premier destination for live event enthusiasts.The live event sector is experiencing unprecedented growth, and we are poised to capitalize on this opportunity. Our teams require actionable metrics and feedback loops to inform critical business decisions. If you are someone who is passionate about leveraging data to drive decision-making, this is the perfect role for you.

Join Our Mission at TandemTandem stands as a transformative opportunity to revolutionize the way we introduce innovative therapies into the market. Our journey is notably de-risked due to:Rapid Organic Growth: With established product-market fit, we are experiencing swift expansion. Tandem supports thousands of new patients daily, gains traction through physician referrals, and collaborates with leading biopharma companies worldwide.AI-Driven Business Model: Our operations are fundamentally enhanced by AI, creating a robust business that thrives as foundational models evolve. We are cultivating resilience through two-sided network effects that amplify over time.Premier Investors: Backed by top investors such as Thrive Capital, General Catalyst, and Accel, we have the confidence to build an extraordinary team of engineers and operational experts.Our foremost priority is to scale in response to market demand. We seek highly motivated, resourceful individuals to help us enhance our capacity and accelerate our growth. Our pace is fast, and we aim to move even quicker.All full-time positions are based in our New York office. Discover more about our workplace culture in the last section of this page.Role OverviewAs a Data & Analytics Engineer at Tandem, you will be instrumental in establishing the data infrastructure that underpins our operations, measurement, and growth strategies. You will design and maintain our core data models, pipelines, and reporting frameworks, ensuring that key stakeholders have access to reliable, decision-grade data at the pace required for our fast-moving environment. This cross-functional role has a significant impact, collaborating closely with product, operations, growth, and leadership teams to develop systems that facilitate quicker, more informed decision-making across the organization.You will also help shape our data and analytics engineering practices, including metric structuring, code review processes, pipeline management, and scalability considerations. Your contributions will directly influence aspects ranging from product usage insights to operational performance and client reporting in life sciences.This role is demanding, with a high degree of autonomy and responsibility. We expect you to take ownership and fully commit to Tandem's success. If you are eager to learn, possess a low-ego mindset, and are excited about impactful work that propels both company growth and your career advancement, we want to hear from you.

Join our dynamic team at Metropolis as a Senior Analytics Engineer. In this pivotal role, you will harness data insights to drive decision-making and optimize our analytics framework. You will collaborate with cross-functional teams to enhance our data capabilities and contribute to innovative projects.

Join The New York Times as an Engineering Manager, spearheading the Analytics Environment team within our Data Platform division. In this pivotal role, you will cultivate a dynamic, secure analytics and data prototyping environment that empowers users across the organization to unearth insights and conduct in-depth analyses. This position is based in our vibrant New York City headquarters and offers a hybrid working model.

ABOUT THE ROLE: RightWay Healthcare is seeking an innovative Analytics Engineer to contribute to the design and development of a cutting-edge PBM Financial Risk Engine. This engine will integrate claims data, contract terms, pricing, and utilization metrics to enhance financial forecasting, risk evaluation, and performance tracking. The ideal candidate will have a robust background in dbt and analytics engineering, thriving at the crossroads of healthcare economics, PBM operations, and data modeling. You will play a crucial role in shaping and refining our financial risk engine data models, incorporating new data sources, optimizing existing ones, and ensuring that data is presented in a manner that facilitates efficient reporting and drives analytics innovation. This position will involve delivering and analyzing PBM financial data for diverse analytics applications within our Unified Data Warehouse (UDW) and implementing AI and ML solutions to generate impactful healthcare insights. WHAT YOU’LL DO: Utilize your hands-on analytics and data expertise to address complex, dynamic financial and operational challenges using PBM data. Design, develop, and maintain scalable, analytics-ready data models (mainly in dbt) that drive the PBM financial risk engine, utilizing claims, eligibility, pricing, rebates, guarantees, and contract data from our Unified Data Warehouse (UDW). Transform intricate PBM contract and pricing structures (e.g., plan paid vs. member paid, rebates, guarantees, caps, fees, exclusions) into clear, auditable data models that facilitate financial analysis and risk evaluation. Collaborate closely with underwriting, finance, client success, and PBM operations teams to comprehend financial assumptions, risk factors, and reporting needs, converting them into dependable metrics and models. Create curated financial and risk data marts and semantic layers that empower self-service analysis for forecasting, scenario modeling, and executive reporting. Take ownership of core financial KPIs and risk metrics end-to-end, from raw claims and contract inputs to production-grade models, ensuring consistency and traceability. Establish automated data quality checks, reconciliations, and controls to validate financial outputs, ensuring alignment with source systems and contractual logic. Continuously enhance data models and warehouse performance to accommodate large-scale claims volumes and time-sensitive financial analyses. Contribute to data governance by setting modeling standards, documentation, and guidelines that support auditability, explainability, and long-term maintainability. Effectively communicate complex financial insights to stakeholders.