Top Senior Data & Analytics Jobs in Detroit, MI

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.

Lead data governance activities including profiling, metadata population, data quality remediation, and standards enforcement. Work cross-functionally to implement Informatica-based cataloging and protection, automate data protection, deliver training, and recommend improvements to data quality, standardization, and transformation.

The role involves leading a team to grow and retain business in online communities and panels, managing recruitment, engagement, and data quality while overseeing the operational excellence and compliance within global markets.

The Senior Data Architect will design and implement data architecture strategies, integrating Oracle EBS with cloud services, overseeing data governance, and collaborating with cross-functional teams to optimize data workflows.

Design, analyze, and document data products and technical specifications. Perform large-scale data profiling and SQL analysis, support data governance, partner with stakeholders to remediate issues, and help implement data quality, lineage, and ingestion standards.

Architect and design enterprise data warehouse solutions for healthcare payer clients. Lead end-to-end data integration, data mart, reporting, cubes and MDM projects; define data models, ETL and reporting designs; enforce data governance, standards, and regulatory compliance; evaluate technologies and coordinate solution implementation across teams.

Lead regional economic intelligence and outreach for the Seventh District by gathering qualitative and quantitative data, conducting roundtables and surveys, preparing sector-specific analysis and Beige Book contributions, delivering presentations, advising senior leadership, and mentoring junior staff. Specialize in one or more industries or geographies and publish research for internal and external audiences.

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.

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.

Perform technical business analysis supporting ETL and data operations. Write complex SQL queries, manage and analyze data, gather technical business requirements, and facilitate stakeholder meetings. Work independently in a customer/technical support environment using Excel and Agile/Waterfall methodologies, applying strong problem-solving and attention to detail.