Top Remote Analysis Reporting Jobs in Detroit, MI

The Senior Analyst of People Analytics will manage Visier platform, support data pipelines, validate data accuracy, and develop self-service dashboards ensuring analytical integrity across employee lifecycle processes.

As a GIS Specialist, you will apply geospatial analysis techniques, manage databases, and collaborate with engineers and scientists on projects.

Lead the development of reporting and analytics tools in Tableau, providing insights for decision-making and managing inbound data ingestion. Act as a Tableau expert and mentor for the team, ensuring a strong user experience and collaboration with analytics engineering.

Lead design and implementation of the commercial data and systems foundation for launch and growth. Own Salesforce-led commercial systems, integrations, data warehouse, MDM, analytics enablement, governance, and scalable delivery to support commercial operations, reporting, and compliance.

The Revenue and GTM Insights Lead is responsible for developing dashboards, analyzing data, providing insights, and supporting revenue strategies across multiple functions.

Seeking a data scientist with strong skills in PySpark and Python to manage the end-to-end data science workflow, focusing on loyalty programs. Responsibilities include data transformation, predictive modeling, and client interaction to derive actionable insights.

The Analyst, Insurance Compliance will conduct insurance reviews, ensure accurate data management, and support exception management within a compliance platform, while learning insurance requirements.

The Engagement Manager will oversee the data modernization lifecycle, coordinating with partners to implement modern data platforms and manage multiple concurrent engagements effectively.

The Sr. Data Architect will define enterprise data architecture strategy, deliver data products, ensure data governance, and drive analytics capabilities.

As a Product Analyst, you will analyze product metrics, conduct A/B testing, develop predictive models, ensure data integrity, and effectively communicate insights to stakeholders.