Top Remote Data & Analytics Jobs in Milwaukee, WI

The Looker Data Engineer will build and optimize data models, develop reporting solutions, and support data-driven decisions using Looker and other technologies.

Design, implement, and support enterprise data integrations connecting JDE, Workday, Salesforce and other platforms. Lead SQL-driven ETL/ELT pipelines, develop reusable integration frameworks, ensure data integrity and audit readiness, perform regression and production troubleshooting, and provide architectural oversight and mentorship across multiple concurrent projects.

Design and deliver scalable Power BI data models, dashboards, and reporting solutions. Collaborate with stakeholders, establish visualization governance and best practices, prototype solutions, and own projects end-to-end to enable data-driven decisions across healthcare teams.

The Senior Data Analyst will analyze performance data, identify trends, and provide insights to improve organic search performance for clients, working closely with cross-functional teams.

The Staff Data Analyst will enhance data usage for strategic decisions, architect scalable models, partner across teams on data solutions, and lead analytics engineering standards.

Design and implement data infrastructure and pipelines, ensuring reliability and quality. Collaborate with teams for data solutions and optimize processes. Coach junior engineers.

Analyze product and user engagement data to generate insights, build dashboards and reports, design and evaluate A/B tests, define success metrics with product and engineering, ensure data accuracy, and communicate findings to cross-functional stakeholders to guide product and business strategy.

The role involves designing and optimizing data pipelines in Snowflake, developing ETL workflows, collaborating on data integration, ensuring data security, and performance monitoring.

Lead data strategy at Alpha, oversee data functions, build robust data systems, drive product decisions using data insights, and mentor a data team.

Build and maintain automated ETL/ELT data pipelines, improve data quality and monitoring, optimize Postgres and BigQuery schemas and queries, develop internal tooling, support data governance (HIPAA), participate in on-call rotation, and collaborate across engineering teams to scale data systems.