Top Analysis Reporting Jobs in Detroit, MI

The PTPA Tax Technology Manager leads tax technology initiatives, mentoring team members, enhancing data transparency, and overseeing product lifecycle management to improve stakeholder experiences.

The Consumer Insights Analyst will analyze consumer data, provide actionable insights to cross-functional teams, and improve product designs and strategies at GM.

The Data Engineer will support data initiatives, build data pipelines, perform statistical analyses, and develop BI dashboards to drive business decisions.

As a Data Analytics Team Lead, you will manage data infrastructure, oversee projects, lead a team of analysts, and ensure data accuracy and accessibility for various business needs.

The GTM Data & Automation Analyst will develop and scale data products, automate workflows, and enhance team efficiency through collaboration with sales and marketing teams.

As a Sr. Business Systems Analyst, you will enhance Salesforce and FinancialForce systems, manage business applications, and ensure SOX compliance while collaborating with cross-functional teams.

As a Snowflake Data Architect, you will provide ETL support and specialize in Snowflake management, ensuring performance, governance, and optimization of data infrastructures.

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

The Director of Analytics leads strategic insights, managing analytics for revenue growth, team development, and operational improvements using data-driven strategies.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

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.

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.