Top Senior Data & Analytics Jobs in Detroit, MI

Design, build, and optimize enterprise Power BI reports, dashboards, semantic models, and DAX measures. Manage Power BI Service workspaces, security, deployment pipelines, refreshes, and gateways. Integrate data from ERP, manufacturing, supply chain, finance, warehouses, and lakes while improving performance through model optimization, aggregations, and incremental refresh. Partner with stakeholders and data engineers to establish governance, translate requirements, and enable adoption through documentation and training.

Designs, builds, and optimizes modern Azure and Databricks data platforms for clients. Responsibilities include client discovery, requirements workshops, architecture discussions, batch and streaming ingestion, lakehouse and dimensional modeling, data transformation, governance, monitoring, DevOps, security, and solution reviews. The role also communicates recommendations to technical stakeholders and leadership while delivering scalable analytics and reporting solutions.

Designs enterprise data architecture, models, integration patterns, data pipelines, semantic models, governance standards, and access protocols. The role translates business and application needs into scalable data solutions, supports analytics, automation, AI, and application development, and collaborates with data engineers and stakeholders to deliver trusted, reusable datasets.

Architect, build, and evolve AWS-based data platforms and pipelines handling large, complex datasets. Optimize data solutions for scalability, reliability, performance, and cost efficiency. Collaborate with engineering and product teams, make architectural decisions, establish best practices, provide technical mentorship, and support modernization toward intelligent data architectures. The role involves Python, SQL, Databricks, Kubernetes, automation, DevOps, and agentic AI technologies.

Lead client-facing marketing analytics projects using quantitative methods to evaluate offline and digital marketing. Deliver analyses, recommendations, presentations, and advice. Perform Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Pricing/Promotion analysis, demand forecasting, and customer-level analysis. Manage and grow a team. Significant travel required.

Own and operate Priority Waste’s enterprise data platform, building Azure and Microsoft Fabric pipelines, warehouse models, Power BI semantic models and dashboards. Integrate operational, payroll, fleet, telematics, API and file-based data sources. Manage monitoring, alerting, data quality and governance while expanding AI-driven reporting and reconciliation automations. This hands-on, on-site role requires independently scoping, building, deploying and operating production data systems as the company’s primary data engineer.

Design and implement data strategy and architectures for Industrial Systems. Define data domains, create and maintain enterprise, conceptual, logical and physical models, onboard and profile sources into the IS data platform, set data-quality metrics, establish architecture standards, and guide product teams on GCP data engineering implementations.

The Business Analyst will support business operations and content strategy by gathering requirements, creating documents, and improving service delivery through technology for a federal agency.

Lead data workstream for complex implementations: collect, validate, transform and upload large datasets into VMS, perform ETL and rate audits, ensure data quality and governance, mentor junior analysts, and communicate status to clients and stakeholders.

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.