Top Remote Data & Analytics Jobs in Madison, WI

The Director of Data & AI Alliances will develop strategic partnerships, drive joint go-to-market strategies, manage partner relationships, and lead initiatives that enhance revenue growth and partner engagement in data and AI ecosystems.

The Senior Data Analyst will develop SQL pipelines to automate workflows, create dashboards, analyze financial data, and support leadership with insights.

The role involves optimizing Snowflake's reporting layer for cost efficiency and performance, enhancing analytic engineering, and collaborating with data engineering teams.

The Senior Data Engineer will design and maintain data pipelines, build scalable data infrastructure, and ensure the availability of high-quality data for analytics and operations at TopDog Law.

As Staff Analytics Engineer, you will lead the analytics architecture for Lime for Business, focusing on data modeling, ETL pipelines, and cross-functional collaboration to drive business insights and data excellence.

The Senior Quantitative Scientist will leverage real-world data to drive insights in commercial projects, collaborating with life science companies to support clinical studies and data analysis.

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

Manage Campbell Snacks syndicated data budget and vendor partnerships, build training to upskill sales and category teams, maintain distribution forecasting and recurring reporting, translate data into insights for IBP and strategic planning, and lead cross-functional analytics initiatives.

The Data Engineer is responsible for developing data infrastructure, building data pipelines, managing data quality, and integrating analytics tools to support design and project operations.

The Data Engineer III will design and maintain data infrastructure, ensuring efficient data loading and compliance while mentoring junior engineers and collaborating with Analytics teams.