Top Data & Analytics Jobs in Madison, WI

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

The Solutions Architect leads client integration of Cedar's platform, ensuring successful project delivery through client communication and technical expertise while managing complex data structures and operational workflows.

The Senior Data Engineer will design and manage data pipelines, work with complex datasets, and collaborate with teams to enhance data product integrity and effectiveness.

The Resource Planning Consultant I will perform economic analysis and strategy for resource planning while integrating renewables and storage to develop a clean energy grid, focusing on data analysis and collaboration with the development team.

Manage and fulfill reporting requests, produce recurring time-sensitive monthly reports, validate and manipulate data using Excel, analyze outputs for trends and data quality issues, maintain audit-ready report storage, support AMS/integrated system issue escalation, collaborate cross-functionally, and follow/update SOPs.

Design, build, and maintain Databricks-based ETL/ELT pipelines, data lakes, and warehouses for genomic, phenotypic, and operational data. Optimize performance and cost, enforce data quality, integrate lab and sequencing sources, support reporting and analytics, and collaborate with geneticists and bioinformaticians to deliver governed data products for scientific and business use.

Analyze consumer loan operations by building monitoring reports, querying data (SQL/Snowflake), performing root-cause analysis, recommending and implementing operational improvements, managing initiatives end-to-end, and maintaining documentation and stakeholder communication.

The Senior Technical Writer is responsible for creating and maintaining technical documentation for clinical solutions, collaborating across teams, ensuring accurate regulatory compliance, and managing multiple projects.

Perform statistical and data analyses supporting reentry research; design studies, manage and validate datasets, create visualizations and reports, communicate findings to stakeholders, collaborate on grants and publications, and maintain data security and documentation.

Perform eligibility and enrollment data analysis and reconciliation for life insurance programs. Investigate vendor file discrepancies, conduct full-file comparisons, support testing/validation, troubleshoot 834/SFTP transmissions, and document procedures while coordinating with technical staff, vendors, and business teams.