Top Data & Analytics Jobs

Support partners in voter engagement by administering VAN and related tools, managing users/security, producing data pulls and visualizations, training partners on data hygiene and field tools, providing technical assistance, and coordinating with national and state data teams to maintain shared infrastructure and best practices.

Lead data quality and reporting for complaints and servicing systems: cleanse and validate data, build reports and dashboards, perform advanced statistical analyses, automate data extraction, maintain databases, and collaborate with stakeholders to surface actionable insights and process improvements.

The Workday Analyst supports and improves the Workday Payroll module, focusing on systems analysis, technical support, payroll configurations, reporting, and process improvements for US and Canada payroll environments.

The role involves conducting impactful research and teaching at the graduate and undergraduate levels in information systems and technology, focusing on analytics and AI applications.

The Senior Data Engineer will oversee data operations, design scalable data pipelines, ensure data quality, and support cross-functional data initiatives.

The BI ETL Data Developer II/III develops and maintains scalable data pipelines in a cloud-based environment, enhancing data integrity and quality for informed decision-making across the University.

The Analytics Engineer will develop data models, build dashboards, ensure data reliability, optimize workflows, and foster collaboration to enable data-driven decisions in healthcare operations at Alaffia.

The Senior Business Data Analyst handles complex data analyses, collaborates with stakeholders, documents technical specifications, and develops data solutions to meet business objectives, ensuring quality and compliance.

Design, implement, and manage scalable multi-cloud data platforms and ELT pipelines (AWS/Azure). Build and optimize Snowflake data models, dbt transformations, and Airflow orchestration. Define data engineering standards, enforce governance and quality, collaborate cross-functionally, and mentor global/offshore teams.

Design, build, and operate a privacy-safe, cloud-based data platform supporting batch and real-time pipelines, analytics, ML/AI, governance, observability, and high pipeline reliability. Partner with stakeholders, set data engineering standards, troubleshoot production incidents, and mentor engineers.