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.

Design and analyze experiments and surveys, develop sampling and analytic methods, interpret quantitative results, advise clients on policy/strategy, use AI tools to augment analysis, and provide quality assurance for junior staff.

The Data Scientist/Manager will analyze data, develop models, support organizational missions, and provide insights to enhance decision-making for the USDA.

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 Mathematical Statistician III role involves providing expert guidance in statistical methods, designing tests, conducting evaluations, and reviewing test data and methodologies, primarily for Army and Joint Service systems.

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

The Senior Manager of Risk Analytics will lead credit risk strategies, manage portfolio performance, optimize decisioning frameworks, and drive business growth through analytics and predictive modeling.

Lead design, build, and maintain scalable data pipelines, ETL processes, data models, and storage solutions. Support production data ecosystem, optimize performance, ensure data quality and security, integrate data sources/APIs, and provide technical guidance to teams while collaborating with stakeholders.

The role involves migrating on-premises databases to AWS, developing Python scripts for data processing, and building AWS data pipelines. Responsibilities include supporting application teams, data modeling, and ensuring system efficiency.

Own end-to-end marketing and business intelligence: build automated dashboards (Domo), query large datasets (SQL/Snowflake), report subscription funnel economics, analyze channel performance and A/B tests, troubleshoot data anomalies, and partner with leadership to set KPIs and prioritize analytics work.