Top Senior Data & Analytics Jobs in Detroit, MI

Design and govern data models, pipelines and integrations to support AI and analytics for Supply Chain. Improve reuse, lineage, quality, certification and traceability. Collaborate with ICT, engineering and business stakeholders to scale enterprise data delivery and ensure operational, governed data assets.

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.

The Director leads the Social Intelligence Analytics team, advising clients, managing projects, and utilizing AI to derive insights from social media data.

The Lead Cloud Data Engineer will design and optimize ETL pipelines, manage data quality, and collaborate with teams to meet data needs. Responsibilities include monitoring pipelines and mentoring junior engineers, while leveraging AWS and other cloud technologies.

The Data Platform Architect will oversee data architecture for analytics and dashboard development, model data, and mentor engineers. Responsibilities include designing data structures, implementing best practices, and engaging with stakeholders to meet business needs.

The Manager will lead programming for clinical study data processing, oversee programming deliverables, support study teams, and manage resources while ensuring compliance with regulatory standards.

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.

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.

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.