Top Remote Data & Analytics Jobs in Detroit, MI

Lead current-year and long-term AP volume forecasting using statistical and AI/ML methods; diagnose supply-demand drivers; close analytic data gaps; translate analyses into strategic recommendations; mentor staff and communicate forecasts and risks to senior stakeholders across College Board.

Design, assess, and build a scalable end-to-end high-volume outbound email integration between Salesforce, S-Docs, AWS, and VA Notify. Perform architecture analysis, develop AWS and Salesforce integration components, implement queueing/error-handling, execute testing and CI/CD deployments, and produce technical documentation, runbooks, and training for operational readiness.

Ensure quality, consistency, and governance of enterprise master data through data analysis, reporting, and collaboration. Perform data mining, identify quality issues, develop dashboards, run system queries, maintain data, support supplier outreach, and meet SLAs while supporting business initiatives and process improvements.

Support consulting projects with business and data analysis, prepare materials and reports, assist client communications and proprietary tools, research industry trends, and help with RFPs while learning multiple workstreams under project guidance.

Partner with Product, Marketing, Growth, Engineering, and Business teams to analyze user behavior, build dashboards and self-serve reports, support A/B testing and experiment measurement, create user segments and cohorts, monitor KPIs, and communicate actionable insights to stakeholders to improve engagement, conversion, retention, and campaign performance.

Lead GHG inventories and sustainability reporting for real estate clients; manage data collection, onboarding to Conservice's platform, quality-checking, and client communications. Produce analyses (e.g., SB 253, embodied carbon), prepare reports and submissions, collaborate with internal teams and external assurers, and drive process improvements to support sustainability program delivery.

Lead Imagine's global MEAL strategy, build high-performing country MEAL teams, ensure data governance and quality, develop dashboards and analyses, guide experimental design and reporting, translate insights for stakeholders, and strengthen organizational data literacy to improve program learning outcomes and operational effectiveness.

Design, build, and support enterprise BI solutions including reports, dashboards, ETL/ELT, data marts, governed datasets and production support. Translate business requirements into technical designs, perform complex data analysis and root-cause investigations, document lineage and runbooks, optimize solutions, enforce data governance, and provide technical leadership or mentorship for large-scale initiatives.

Build and maintain Power BI reporting products, integrate and validate institutional data, conduct applied quantitative and qualitative research, deliver analyses and visualizations, manage projects and reporting standards, and support cross-organization analytics and stakeholder decision-making.

Build data foundations and end-to-end pipelines, research and implement quantitative pricing, market-making, and risk models for prediction markets, model cross-market dependencies and parlays, develop backtesting/simulation frameworks, monitor model performance and collaborate closely with traders to improve pricing and trading outcomes.