Top Data & Analytics Jobs in Madison, WI

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

As a Senior Data Scientist, you will develop machine learning models, optimize deployment processes, and collaborate with cross-functional teams to enhance clinical AI workflows.

The Data Operations Lead will drive data analytics, build reporting pipelines, unify metrics across teams, and foster data-driven decision-making using AI and analytics.

The Senior Analyst will analyze large-scale data to detect fraud, develop monitoring frameworks, and collaborate with teams to enhance fraud strategies.

The Product Analyst will manage the analytics for Document Verification, conducting analyses, building dashboards, and collaborating with cross-functional teams to improve product performance and detect fraud.

The Senior Analyst will support product engineering efforts by analyzing digital solutions, enhancing user experiences, and collaborating across teams to deliver insights and improvements.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

Nagarro seeks an Associate Principal Engineer in Big Data to leverage extensive IT experience for strategic organizational value. The role values self-starters and innovation.

Lead and grow a software engineering team focused on RISC-V software ecosystem, collaborating with teams to establish RISC-V as the standard.

Lead pricing strategy development, managing cost models, profitability frameworks, and ensuring competitive business proposals while collaborating with various stakeholders.

The Business Analyst will gather and analyze requirements, recommend strategies, implement initiatives, and ensure effective communication with stakeholders.

Accurately enter, maintain, and validate data remotely; organize and categorize records; generate reports; perform quality control and resolve discrepancies; support data-related projects and ensure consistency and adherence to standards.

Collect, analyze, and interpret complex data; develop and maintain databases, data systems, and processes; create reports, dashboards, and visualizations; collaborate with stakeholders and data teams; build data and statistical models; stay current with tools and industry trends.

Design, develop, and maintain BI solutions, dashboards, and reports. Collaborate with stakeholders and IT to build data models, ETL processes, and data warehouses, ensuring data quality, integrity, and security while staying current with BI best practices.