Top Data & Analytics Jobs in Ann Arbor, MI

Senior individual contributor owning marketing data domain end-to-end: design, build, and operate data pipelines, models, governance, and certified data products across Microsoft Fabric and Google BigQuery to support marketing measurement, attribution, reporting, and self-service analytics.

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.

As an intern, support the National Tax Office with research on tax issues, assist in preparing returns, and engage in team activities to enhance tax knowledge.

Design and implement OBIEE solutions and enterprise dashboards for capital markets. Develop RPD models and presentation layers, apply dimensional modeling and data warehouse best practices, enforce OBIEE security/roles, produce technical specifications, prioritize tasks, and liaise with clients and IT teams to gather requirements and deliver analytics solutions.

Analyze business domains and document processes, requirements, and data models. Gather business and technical environments, develop BRDs and technical requirements, support UAT and SDLC activities, coordinate testing and production updates, manage multiple projects, and present findings to stakeholders.

Design, architect, and implement end-to-end data ingestion, storage, modeling, and provisioning solutions on the GE Predix platform. Lead cross-functional teams, set data architecture standards, develop OLTP/OLAP models, perform POCs, and enable analytics at scale while enforcing data management policies.

Support development and implementation of client-focused digital tools for environmental projects. Analyze environmental and geospatial data for insights, test workflows, document findings, manage budgets and billing, collaborate with stakeholders, stay current on remediation technologies, and perform up to 25% fieldwork.

Design, build, and maintain enterprise analytics solutions and semantic data models using Microsoft Fabric, Databricks, SQL, Python, and Power BI. Develop reporting datasets, dashboards, and self-service analytics; ensure data quality, performance, CI/CD, and governance; translate business requirements into scalable solutions; provide technical leadership, mentor engineers, and collaborate with architects and stakeholders to align analytics with business objectives.

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

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.