Top Analysis Reporting Jobs in Detroit, MI

Lead and grow a data engineering team to build scalable, cloud-native multi-cloud Lakehouse data products using Databricks, Spark, Delta Lake and near real-time streaming. Drive migration from legacy systems, enable AI/ML and GenAI use cases, ensure observability, data governance, CI/CD, and collaborate with product, analytics, security and architecture teams to deliver customer and marketing data solutions.

Lead regional economic intelligence and outreach, conduct qualitative and quantitative research, produce sector and district analysis for policy use, prepare publications and presentations, engage senior external stakeholders, and mentor junior economists.

Senior Data Analyst embedded in Finance to deliver executive-grade forecasting, intra-quarter pacing, P&L modeling, and automated reporting. Build finance data infrastructure on Snowflake, create dashboards and pipelines (Power BI, SQL, Excel), partner with IR and engineering, and mentor analysts to drive decision-ready insights.

Analyze warranty and reliability data to identify trends, risks, and cost drivers; develop dashboards and reports; support root-cause analysis, cost forecasting, and customer negotiations; ensure data integrity and drive continuous improvement across cross-functional teams.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Build and scale the analytics foundation: own dbt projects and Snowflake warehouse, create trusted datasets and semantic layers for AI, build ELT pipelines from APIs, implement testing/observability and CI/CD, design reconciliation models, enable stakeholder self-service, and partner cross-functionally to drive data-driven decisions across GTM, Product, Finance, People, and Operations.

Design, build, and optimize modular dbt pipelines and data models; translate ambiguous product requirements into production-grade data assets; diagnose query performance and lower warehouse compute costs (including migration to Snowflake); enforce code hygiene, data security, testing, and peer review; mentor junior engineers and adopt AI-assisted development tools to speed test generation and legacy discovery.

Deliver sales reporting, data preparation, dashboard updates, and analysis to support sales intelligence. Maintain data accuracy across the warehouse and CRM, build Power BI visuals, execute ETL processes, and translate insights for non-technical stakeholders.

Build, deploy, and operate production-grade data pipelines and data products for healthcare audiences. Design transformations, data models, and governed views using Python, SQL, Airflow, S3, Snowflake, and EMR. Implement data-quality, monitoring, and privacy-by-design controls for PHI/PII. Partner with product, analytics, and platform teams to onboard sources, support audience discovery, segmentation, activation, measurement, and troubleshoot production issues.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.