Top Remote Data & Analytics Jobs in Madison, WI

The role involves designing scalable data architectures, developing data pipelines, engaging with stakeholders, ensuring security and governance, and leveraging AI tools for data processing in the Databricks environment.

Develop and maintain data pipelines and reporting tools, support real-time processing workflows, and collaborate with teams to enhance platform capabilities, utilizing Java, Python, and Groovy scripts.

As a Lead Data Analyst in Marketing, you will drive analytics projects, develop methodologies for campaign measurement, and mentor junior analysts while collaborating with cross-functional teams.

Lead the Data Engineering team at Docker, focusing on strategic data analytics and platform evolution to enhance product innovation and customer insights.

The Senior Insurance Product Analyst will develop pricing models, analyze product profitability, and collaborate with teams on market strategies, utilizing AI tools for data-driven decisions.

The Business Analyst will gather, analyze, and document requirements for health IT solutions, support UAT, and collaborate with stakeholders to improve processes.

The Senior Business Analyst collaborates with stakeholders to optimize Oracle Fusion solutions for Supply Chain Management, focusing on Order Management and Procurement, ensuring process integration and functionality. Responsibilities include requirements gathering, configuration, testing, and supporting post-go-live improvements.

The Data Migration Engineer will design and execute SQL-based ETL processes for migrating public safety data, ensuring high-quality data integration and collaboration with internal and external teams.

The role involves project management, efficiency analysis, quality assurance, and systems management with a focus on improving operational workflows and processes.

Lead data architecture and strategy across product, data science, and engineering. Design cloud-centric, scalable data models, ETL/ingestion, governance, and AI/ML-ready analytics. Guide tooling selection, proofs-of-concept, data storage decisions, security/compliance, documentation, and mentor Data Platform team members to operationalize mission-critical data solutions.