Top Remote Data & Analytics Jobs in Detroit, MI

Lead delivery of enterprise data governance, MDM, and modern data-platform components including Snowflake, CDC pipelines, schema-first contracts (JSON Schema/Avro/Protobuf), data catalog and PII classification, CI/CD schema management, AWS data services, and day-to-day leadership of an offshore delivery team.

Lead enterprise data governance strategy and implementation. Partner with stakeholders to define data ownership, quality rules, metadata, and controls. Document requirements, processes, data dictionaries, and KPIs. Coordinate governance councils, audits, and vendor integrations, and embed governance into ETL and data integration pipelines to ensure compliance and data quality.

Lead process mining and improvement projects across business areas, develop dashboards and analyses (e.g., Celonis), apply industrial engineering practices, identify root causes, translate functional requirements to technical solutions, and drive customer experience optimizations.

Design and analyze experiments, measure campaign incrementality, identify customer segments and engagement opportunities, validate tracking and anomalies, surface actionable insights, and build scalable measurement infrastructure with cross-functional partners.

Produce and validate default reporting and analytics for mortgage servicing portfolios. Investigate data discrepancies, perform root-cause analysis, modify reports for ad-hoc needs, document processes, and collaborate with default management to ensure regulatory and investor-compliant reporting.

Support HRIS implementation by extracting, cleansing, validating, and preparing employee data for migration. Reconcile reports, fix duplicates and missing data, create Excel transformation files, maintain data quality, document work, and assist with testing and post-go-live support.

Lead design and evolution of Foodsmart's data platform and pipelines, set architecture and standards for data quality, governance, and observability, enable analytics and ML at scale, mentor engineers, and drive platform-wide performance and reliability improvements.

Lead commercial real estate market research and produce reports, economic outlooks, and client-facing insights. Maintain property databases and market statistics, support broker pursuits and financial modeling, collaborate with valuation, capital markets, GIS, IT and marketing teams, and build relationships with media and stakeholders to elevate Colliers' research and brand.

Build and maintain revenue and customer-lifecycle reporting, author complex BigQuery SQL, develop segmentation and clustering models in BigQuery ML, perform entity resolution and data quality reconciliation, migrate and maintain Tableau dashboards, and deliver ad-hoc and recurring analyses to support Sales, Revenue, and cross-functional teams.

Build and own data platform infrastructure and scalable pipelines (ingestion, orchestration, transformation, delivery). Define governance, observability, and AI-first architecture. Optimize performance, ensure data quality, mentor engineers, and integrate AI-assisted tooling.

Lead fraud analytics for application fraud detection: identify emerging patterns, design and test real-time defenses, balance risk and customer experience, build dashboards and metrics, and collaborate with Operations, Product, Data Science, and Engineering to reduce fraud losses and improve cardholder experience.