Top Senior Analysis Reporting Jobs in Madison, WI

The Lending Quality Assurance Analyst performs QA reviews on lending products, conducts data analysis, recommends improvements, underwrites files, and ensures compliance with regulations.

The Business Intelligence / Data Analyst will optimize the data reporting pipeline using Google Big Query and Omni, work with product management, implement reports, and conduct ongoing maintenance.

As a Data Engineer, you will develop solutions for customer-centric technology, ensuring platform integration and managing data architecture. Responsibilities include building data processes, maintaining data integrity, and collaborating cross-functionally to meet business challenges.

Design and optimize SQL Server solutions, manage data, automate processes with PowerShell, and integrate with external systems to enhance functionality.

The Sr. Product and Market Research Specialist designs and executes market research to validate product concepts and inform strategies based on customer insights, collaborating across teams to align on product development.

The Senior Data Engineer will design, build, and support data environments, orchestrate pipelines, and implement data solutions for advanced analytics and machine learning, working closely with project teams.

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.

The Director of Analytics and Performance will manage campaign analytics, provide insights and strategies for healthcare clients, and collaborate with internal teams and external agencies.

The Sr. BI & Measurement Strategist develops and maintains advanced measurement strategies including Media Mix Models, translating complex insights for executive stakeholders, and driving business performance through data storytelling and strategic recommendations.

The Senior Data Engineer will build and maintain ETL/ELT pipelines, optimize SQL queries, and collaborate on machine learning workflows, driving data engineering best practices.