Top Remote Analytics Jobs in Detroit, MI

The Senior Manager, Data Strategy & Analytics will lead analytics across teams, translating data into actionable insights, building dashboards, and ensuring data quality.

The Director of Business Intelligence & Analytics at RapidSOS will spearhead data-driven strategic planning, metric governance, and AI-driven analytics to inform executive decisions and foster growth.

The Manager of Operational Analytics leads a team to improve partner relationships through analytics, overseeing reporting, performance dashboards, and implementing AI tools for enhanced insights.

The Senior Manager, Risk Analytics & Decision Science will shape credit strategies, improve decisioning frameworks, and optimize model performance to enhance approval, pricing, and portfolio outcomes.

Lead analytics for Nutrafol.com and the Nutrafol App, driving insights for roadmap prioritization, conversion optimization, and overseeing CRO analytics. Manage a Senior Associate Analyst and collaborate on digital experiences that enhance growth.

This role manages the BI platform's day-to-day operations, develops analytics solutions, enhances capabilities, and partners with teams to fulfill reporting needs. Responsibilities include monitoring system performance, data governance, and ensuring data quality while delivering actionable insights to support business growth.

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

Manage end-to-end analytics projects, lead cross-functional teams, ensure client satisfaction, and utilize AI tools to enhance data insights.

Manage analytics projects, ensuring client satisfaction while leveraging real-world data. Collaborate with cross-functional teams to translate business questions into data analysis, and lead process improvements within the team.

The Staff Product Analytics Engineer will enhance product data usage across teams by owning data infrastructure, creating tools for self-service data, and ensuring data-driven decisions. Responsibilities include collaborating with various teams to improve data insights and maintain data pipelines.