Data & Analytics

Manage and maintain product, customer, and marketing master data across internal systems and external partner platforms. Create, update, and prepare product information (including images/videos) for B2B channels, ensuring data accuracy, completeness, and timely delivery.

Lead data-driven initiatives to improve engagement and adoption of Spring Health's care platform by analyzing diverse data sources, partnering with product and engineering teams, and applying statistical/ML expertise to solve healthcare problems rather than building software systems.

Build and maintain dbt data models and analytics infrastructure that power business insights and customer-facing systems. Work on data architecture, modeling strategy, and CI/CD pipelines to scale analytics across the organization.

Work with large datasets and SEO performance metrics across markets, identifying optimization opportunities and implementing AI/automation solutions to scale SEO processes. Combines strategic thinking with technical problem-solving around data analysis and tooling rather than traditional coding.

Manage and optimize TikTok Shop performance for multiple clients by analyzing KPIs, developing e-commerce strategies, and coordinating with creators and affiliates. Heavy focus on data-driven decision-making, performance metrics, and campaign optimization rather than coding.

Own the end-to-end analysis and quality assurance of biological assay data, working between wet lab scientists and software engineers to ensure data integrity, traceability, and reliability. Focus on validating results, catching experimental drift, and building trustworthy data pipelines rather than writing production code.

Analyze complex insurance claims data and processes to identify quality issues, fraud risks, and operational improvements; work cross-functionally with teams to implement solutions in medical, travel, and automotive domains.

Build statistical models, design experiments, and analyze data to measure product impact and optimize search/revenue metrics. Work involves data infrastructure, Bayesian analysis, and translating analytics into business decisions rather than writing production code.

Manage and optimize digital marketing campaigns across channels to drive app downloads and user acquisition, using data-driven targeting and performance metrics like CPA/ROAS to meet growth targets across different markets.

Develop and execute paid marketing strategies across multiple channels (TikTok, YouTube, Google Ads, etc.), manage substantial media budgets, collaborate with creative teams, and use measurement methodologies like MMM and incrementality testing to optimize campaign performance and ROI.

Design, build, and maintain machine learning models across membership, operations, and business functions—turning data into predictive products. Own the full lifecycle from problem framing through production deployment, while mentoring the analytics team on measurement and impact.

Plan and execute paid digital marketing campaigns across search, social, and display channels, using data analysis to optimize performance and ROI. Day-to-day involves campaign setup, performance monitoring, budget allocation, and cross-functional collaboration with marketing and analytics teams.