Top Senior Analysis Reporting Jobs in Detroit, MI

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.

Leads enterprise data stewardship standards by maintaining glossaries, canonical definitions, business rules, RACI accountability, and decision records. Facilitates cross-functional forums to resolve terminology and governance conflicts, partners with Data Governance and business process owners, and ensures standards are reflected in planning systems, analytics, data products, and AI initiatives. Tracks adoption and supports stewardship operating-model maturity within a matrixed biotechnology organization.

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.

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.

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.