Top Senior Data & Analytics Jobs in Detroit, MI

The Senior Data Analyst collaborates with People teams to transform HR data into insights, conducts analyses, and builds dashboards to improve workforce effectiveness.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

Lead client-facing data solutioning and pre-sales efforts for Consumer verticals, design executable data architectures, support pursuit to close, and provide ~50% hands-on delivery and architectural oversight while ensuring information security and data privacy compliance.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

As a Staff Data Engineer, you will design and optimize data infrastructure, collaborate with stakeholders, ensure data quality, and provide technical leadership while owning architectural improvements and driving operational excellence.

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

The Principal GTM Analyst translates complex business questions into actionable insights, collaborating with Marketing and GTM teams to drive growth and marketing efficiency through advanced analytics and storytelling.

The Analyst will provide advanced analytics and financial insights, focusing on KPI frameworks, performance diagnostics, forecasting, and analytical reporting. Responsibilities include data validation, predictive modeling, and stakeholder collaboration to enhance after-sales performance.

The Engineer will lead the design of data models for reporting, develop ETL automation frameworks, and ensure data quality and instrumentation in a collaborative environment. Strong knowledge of data concepts and exceptional communication skills are essential.

This role involves collaborating with finance groups to implement technical solutions, manage projects, analyze processes, and deliver technical training in AI and automation.