Top Data & Analytics Jobs

The Power BI Developer will build enterprise data models, develop and publish reports and dashboards, assist users with data requirements, and work on Azure technologies to support government initiatives.

The Power BI Analyst develops and maintains dashboards for decision-making and performance reporting at CBP's Network Operations Center. Key duties include designing dashboards, integrating data, ensuring accuracy, and conducting analytics.

The Mid-Level Analyst develops network security, manages data backups, evaluates technologies, ensures compliance, and creates technical roadmaps, requiring 5 years in modeling and simulation with specific technical skills.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.

The Insights Analyst will analyze qualitative and quantitative data, support customer onboarding, advocate for best practices, and collaborate with internal teams to enhance customer experience and product utilization.

As an ERP Analyst I, you will assist in configuring ERP systems, support data migration and testing, document requirements, optimize workflows, and participate in training sessions, while gaining hands-on experience with ERP systems.

Design, build, and maintain scalable Power BI and Microsoft Fabric reporting for Asset-Based Finance. Develop data pipelines, PySpark notebooks, SQL/DAX/Power Query logic, enforce semantic security, validate data with deal teams, and contribute to BI governance and best practices.

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.