Top Analysis Reporting Jobs in Detroit, MI

Lead and independently deliver complex quantitative and qualitative consumer research across international markets. Design studies, manage fieldwork and suppliers, analyze primary and secondary data, synthesize insights, and present actionable recommendations to influence product, marketing, and local market strategy.

Design and implement analytic solutions to transform configuration data into actionable insights. Automate data collection from Oracle, Windchill, and TIPQA, build Power BI visualizations, perform statistical analyses, and recommend process improvements using RCCA and Lean while communicating findings to stakeholders.

Lead design and implementation of data infrastructure, pipelines, and integrations using cloud platforms. Manage teams and client accounts, ensure data quality, security, and compliance, deploy scalable solutions (Databricks, Snowflake), mentor junior staff, and identify data-driven business opportunities.

The Category Data Analyst supports sourcing activities through data analysis, market intelligence, and reporting, enabling informed decision-making and supplier management.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

Build and lead the Compliance data function, owning data products for Customer Risk, Transaction Monitoring, AML, Sanctions. Design and implement data risk frameworks (quality, usage, lineage), enforce data contracts between producers and consumers, maintain end-to-end lineage with Engineering, and drive a risk-based data roadmap aligned with compliance requirements.

Perform requirements gathering, analyze large datasets, create and maintain reports and dashboards, validate data quality, and produce BI process and data model documentation. Collaborate with stakeholders to translate business needs into analytical solutions and deliver actionable insights to support strategic decisions.

The Principal Data Scientist will lead data analysis projects, collaborate with product management, assess business impacts, ensure data governance, and mentor junior analysts. Must leverage statistical techniques and machine learning to drive product strategy and business outcomes.

The analyst will own planning for launches, build forecasting models, partner with stakeholders, and drive data-driven decisions using AI and analytics.

Lead CX analytics strategy and operations by standardizing metrics, enabling self-service analytics, and embedding AI in the analytics lifecycle to enhance decision-making processes.