Top Remote Data & Analytics Jobs in Madison, WI

The Data Analyst will analyze caller behavior data, design Tableau reports, and provide insights to improve customer experience in IVR applications.

Looking for a Data Scientist with experience in ML and AI alignment research to work on client projects and alignment research.

The Data Insights Analyst role involves transforming data into actionable insights, using advanced analytics, coding analyses, and communicating findings for strategic decision-making.

The Data Engineer will build and maintain data infrastructure, design data pipelines, and develop reusable frameworks, leveraging technologies like Azure Databricks and PySpark for data processing and transformation.

The Data Engineer will enhance the Enterprise Data Warehouse, modernizing ETL processes, optimizing data transformations, ensuring data quality, and providing production support while collaborating with cross-functional teams.

Design and enhance data management and analytics functions, build data assets, establish engineering standards, and enable self-service data access for analytics at Danaher.

Partner with Consumer Operations to define metrics, investigate performance changes, build dashboards/alerts, unify disparate data sources, and translate analyses into actionable recommendations to improve agent efficiency, revenue, and business health.

Ensure timely, high-quality data conversions from legacy systems to new platforms. Work with Implementation Specialists and Project Managers to execute conversion tasks, validate data integrity, troubleshoot issues, support deployments, and assist scheduling and customer communications.

Manage leased partner network data integration into I-Network, ensure data quality and delivery for client claims systems and regulatory filing, support SFTP access, create requirements and QA sign-off for projects, produce analytical insights, mentor team members, and assist Business Development/National Accounts and project management.

Lead design and implementation of complex cloud-based data solutions on AWS. Define strategic roadmaps, advise pre-sales, interview and mentor architects/engineers, and oversee data standards, governance, and operational practices.