Top Data & Analytics Jobs

The Lead Data Engineer will design, implement, and maintain data pipelines for mission-relevant data, ensuring compliance with security frameworks and optimizing data accessibility and interoperability across mission systems.

The Quantitative Researcher will manage yield opportunities, design algorithms, perform risk analysis, and collaborate with engineers on DeFi strategies.

Design and maintain production data pipelines and architecture across Snowflake and Databricks, scale Terraform deployments, implement data governance, build demo data processes, and collaborate cross-functionally to support analytics and product use cases.

Lead a business systems team to analyze processes, gather requirements, design and implement technology solutions, support data migration and testing, provide user support, and build analytics (dashboards, reports, predictive models) using tools like Power BI. Collaborate with stakeholders to align forecasting, production scheduling, and analytics strategy while managing scope, timeline, and budgets for system initiatives.

Design, build, and operate large-scale ETL pipelines to turn high-volume raw data into production-grade datasets for reporting and measurement. Own data products end-to-end from requirements through implementation, validation, and production rollout, collaborating with data science, backend/frontend engineers, and product. Ensure data quality, performance tuning, and operational reliability.

Analyze large data sets, build predictive models, automate data collection, and collaborate with teams to enhance decision-making and performance.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Design, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Lead claim analytics, operations analytics, and workforce management teams to produce timely, accurate reports and insights. Partner with business and IT to analyze trends, optimize contact center resources, ensure data integrity, support data governance, mentor analysts, and deliver monthly and quarterly reporting to stakeholders.

Conduct research pushing experimental and causal-methodologies in public opinion, develop tools and prototypes to analyze experimental data, and communicate findings to internal teams and clients to inform platform features and insights.