Top Data & Analytics Jobs in Ann Arbor, MI

Develop and deliver TIBCO SpotFire data visualizations by converting business requirements into interactive SpotFire reports. Build complex SQL (T-SQL) queries on SQL Server, leverage Iron Python and the SpotFire API, and present demonstrations to stakeholders with strong communication skills.

Design and deploy object detection and tracking modules; develop ML algorithms; guide team members; improve data governance and quality assessment.

Responsible for building and operating scalable lakehouse data pipelines, optimizing data flows, and delivering analytics-ready data products using Azure Databricks technologies.

As a Data Fabric Engineer, you will design and maintain data pipelines for SAP data, optimizing performance and ensuring data quality while collaborating with business stakeholders for analytics and reporting.

Lead development and operation of the enterprise Data & Analytics platform. Own roadmap, platform capabilities, CI/CD, automated provisioning, monitoring, governance, cost optimization, and incident management. Partner with engineering, architecture, security, and business teams, act as product owner for platform services, and manage a team of platform engineers to enable self-service, secure, and scalable data delivery.

Design and own end-to-end data domains and pipelines for plant sensors, lab results, and historians. Build schemas, ensure data quality, observability, and lineage, and supply model-ready time-series and analytical datasets to ML and operations teams. Mentor junior engineers and define data contracts.

This entry-level position involves participating in remote research studies, conducting data entry, and following instructions, with flexible work hours.

The Business Systems Analyst will support the finance team by defining and documenting business and functional requirements, analyzing systems, troubleshooting, and managing relationships with vendors and IT resources.

The Business Analyst will gather requirements, analyze data, design BI reports using Power BI, and train users on new dashboards in a collaborative environment.

The Principal Data Engineer will lead technical direction, manage data platforms, make architectural decisions, mentor engineers, and ensure data systems operate reliably.