Top Data & Analytics Jobs in Detroit, MI

The Technical Analyst will analyze project feasibility, gather requirements, configure Manhattan applications, support testing, and facilitate communication between business stakeholders and IT.

The Senior Data Analyst will lead the design and implementation of machine learning models, analyze large datasets for business insights, and mentor junior team members, while collaborating with cross-functional teams.

The Systems Analyst II role involves improving business efficiency through IT solutions, data architecture design, and delivering quality services in health plan business processes.

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.

Lead design and implementation of scalable data architectures in Azure/Databricks/Fabric, enhance governance (Unity Catalog), improve data quality frameworks, build resilient ingestion/transformation pipelines, modernize CI/CD and source control, support production and analytics/AI use cases, and collaborate with stakeholders to move proofs-of-concept to enterprise solutions.

Analyze programmatic revenue and sales pipeline health, build and maintain automated dashboards and BI reports, reconcile compensation and revenue attribution, model margins and rate cards, and synthesize large marketplace datasets for executive reporting and pacing analyses.

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.

This role involves leading the Data & AI team, building modern data platforms using Microsoft technologies, overseeing project delivery, and mentoring team members while engaging with clients.

As a Digital Product Analyst, you will analyze user data to inform product strategies, define KPIs, and enhance user experiences for digital products.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).