Top Data & Analytics Jobs

Research and analyze competitors' annuity products, pricing, sales, and trends. Maintain competitor databases and produce regular reports and rate updates. Partner with internal teams, present findings to stakeholders, mentor junior analysts, and conduct requested research projects to inform product and actuarial decisions.

Perform data analysis and stewardship for DoD cyberspace performance validation: build pipelines, analyze large datasets, develop dashboards, enforce data governance/VAULTIS, maintain databases, support secure AFNet environments, and deliver actionable findings to leadership.

Develop and maintain labor market taxonomies and classifications; analyze large unstructured datasets to identify patterns; integrate taxonomies with data models; support data governance, migration, and cross-functional projects; monitor taxonomy best practices and contribute to data quality and consistency.

Lead and mentor a distributed data engineering team while architecting and building a next-generation, largely open-source data platform. Own hands-on POCs, pipeline design, schema and query optimization, ETL reliability, observability, testing, and CI/CD. Evaluate and recommend technologies, drive migration from vendor lock-in, and translate advertising and market research needs into robust technical solutions.

Design, architect, and implement enterprise data integration solutions across cloud and on‑prem platforms using MuleSoft, Kafka, APIs, and IaC. Define data models, governance, security standards, CI/CD pipelines, and optimize infrastructure. Mentor teams, supervise two engineers, estimate projects, and ensure compliance with privacy/security requirements while integrating tools like Checkmarx, Noname, and secrets management.

Design and build scalable Microsoft Fabric pipelines and lakehouse models, optimize Power BI semantic models and refresh strategies, enforce SDLC and CI/CD best practices, mentor teammates, and ensure SLA-driven, client-facing analytics reliability and performance.

Manage qualitative and quantitative custom research (survey design, sampling, data analysis, reporting) across FanDuel verticals. Synthesize syndicated and internal data, build trackers, partner with vendors and cross-functional stakeholders, and present actionable insights to inform marketing and commercial decisions.

As a Senior Data Scientist at Yahoo Mail, you will enhance user growth strategies via product innovation, overseeing research projects and analytics.

The Global Head of Pricing will lead pricing functions, optimize margins, develop pricing models, and ensure accurate billing while partnering with multiple teams.

Embed on the Video product team to build reusable data models, transformation layers, and pipelines (Snowflake, dbt/SQLMesh). Deliver production-ready data products (APIs, dashboards), instrumentation, experimentation infrastructure, and predictive/causal models to inform product, retention, pricing, and growth decisions.