Top Remote Data & Analytics Jobs in Detroit, MI

Own analysis, validation, and documentation of enterprise platform workflows and data inputs. Define test strategies, lead functional/regression validation, approve configuration changes, and drive remediation. Partner with engineering/product to ensure platform reliability, data quality, and release readiness while applying AI-enabled tools to improve efficiency.

Lead ownership of the global product taxonomy, catalog data model, and catalog governance. Define and enforce standards, train and up-level merchandising teams, interview SMEs, run design reviews, and translate ambiguous catalog issues into prioritized product and engineering requirements. Partner with R&D and clinical teams to enable new categories and advance AI-assisted catalog tooling and quality monitoring.

Analyze pharmacy claims and utilization to identify cost drivers and savings opportunities. Support specialty drug monitoring, PBM evaluations, stop-loss underwriting, client reporting, dashboards, and pharmacy benefit strategy development while collaborating with consultants, underwriters, brokers, and vendor partners.

Analyze operational data, build and maintain reporting models, KPIs, dashboards and scorecards. Provide actionable insights to improve network performance and customer experience. Prepare presentations for leadership, collaborate with cross-functional teams, and recommend operational efficiency improvements while maintaining BI best practices and continuing education.

Lead onshore data engineering/solution lead responsible for hands-on implementation, mentoring junior developers, and managing onshore/offshore teams. Build ETL and data warehouse solutions using Azure (ADF, Synapse), Databricks, PySpark/Python and SQL. Create design artifacts, source-to-target mappings, and specification documents; able to work from client office locations.

Lead enterprise data governance by defining metadata, CDEs, data quality rules, and catalog/lineage. Partner with stewards, owners, IT and business stakeholders to monitor data quality, automate governance workflows, certify reports, and implement governance tooling (e.g., Collibra). Ensure PII handling, document processes, train users, and drive continuous improvement.

Develop and automate reports and dashboards from data warehouse and Salesforce using Excel, SQL, Tableau, Python, and Snowflake. Analyze trends, apply statistical methods, identify anomalies, QA deliverables, collaborate with client-facing teams, manage data quality and mappings, document processes, test tools, and lead client trainings on data specifications.

Deliver end-to-end healthcare data migration: analyze source systems, develop SQL queries and transformation logic, validate and reconcile converted data, collaborate with clients and teams, and use AI-assisted tools to improve delivery.

Own analytics, modeling, reporting, and recommendations for portfolio management. Design underwriting and pricing for multicard and line-extension strategies, test rewards upgrades and purchase incentives to boost engagement, and partner with risk, data science, and engineering to operationalize strategies and defend recommendations to stakeholders.

Build and maintain a scalable BI and reporting platform using ClickHouse and Python ETL. Design dimensional models and reporting marts, optimize queries, create dashboards, support data pipelines from Elasticsearch, SQL Server, APIs and files, and add AI-enabled reporting features and developer tooling for analytics workflows.