Top Senior Data & Analytics Jobs in Madison, WI

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

Lead analytics work translating complex healthcare data into decision-ready insights. Own KPI definitions, Snowflake data marts with dbt, executive dashboards in QuickSight, and cross-functional analyses to inform strategy, product, and operations.

Lead fraud detection efforts by analyzing data, developing detection methods, collaborating with teams, optimizing fraud rules, and monitoring performance metrics.

The Senior Analytics and Insights Manager partners with GTM teams to drive data-driven decisions, providing insights, KPIs, and fostering collaboration for improved performance and strategy execution.

The Senior Data Analyst will provide high-quality analytics and insights for business strategies, automate reporting, and collaborate across teams to transform data into actionable insights.

The Data Reviewer ensures quality and compliance of laboratory data in the QC team, reviewing analytical testing data and authoring lab investigations while adhering to regulations.

The Data Modeler will work on dimensional and operational modeling, focusing on data dictionary work, XML schema design, and profiling sources into target models. Communication with clients and offshore teams is essential.

As a Senior Data Engineer, you will collaborate to build Data Warehouse Solutions, develop data products, and optimize data processes using tools like dbt and Airflow. You'll ensure data integrity and work with various stakeholders to translate business requirements into technical solutions.

Looking for a Senior Technology Informatica Architect with over 11 years of IT experience focusing on DW/BI, design and architecture, and consulting. Requires extensive knowledge of ETL frameworks and performance tuning, along with strong communication and analytical skills.

The Data Modeler will create and manage data models, focusing on dimensional and operational modeling, and work with various data frameworks and tools. Responsibilities include data profiling, documenting mappings, and collaborating with business and technical teams.