Top Analysis Reporting Jobs in Detroit, MI

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.

Supports data pipeline, ETL, integration, validation, reconciliation, monitoring, and troubleshooting activities for insurance claims and enterprise data platforms. Collaborates with engineers, product teams, and business stakeholders to understand requirements, improve data quality, and support scalable cloud-based solutions. Participates in Agile ceremonies and develops technical and insurance-domain expertise through mentoring and project work.

The Relativity Archiving Analyst will archive and purge Relativity workspaces and file shares, ensuring data integrity and documentation processes for approval.

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.

Lead design and delivery of enterprise BI and data engineering solutions using medallion architecture and domain-driven design. Build ETL/ELT pipelines, advanced data models (star/snowflake), and Power BI dashboards. Implement DAX and Power Query M transformations, optimize SQL solutions, and use Spark Python for large-scale processing. Collaborate with stakeholders, define KPIs, mentor team members, and drive innovation across the Microsoft Cloud Data Stack.

Research, map, audit, and validate automotive parts fitment data to ACES standards. Troubleshoot customer fitment inquiries, collaborate with cross-functional teams, support catalog enrichment, and improve catalog data quality and internal processes to ensure correct part-to-vehicle matching.

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.

Develop accurate pricing for sales opportunities; compile RFQs/RFPs; manage pricing SharePoint; lead pricing strategy meetings; update Salesforce; maintain pricing models; produce Power BI and ad-hoc reports; track wins, revenue, and margins.

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.