Top Data & Analytics Jobs

Leads the vision, architecture, strategy, and execution of enterprise data platforms supporting scalable analytics and AI initiatives. Oversees modern data technologies, production reliability, FinOps, governance, architecture standards, and cross-functional delivery. Builds and mentors engineering teams, communicates with executives, evaluates third-party technologies, resolves critical production issues, and drives continuous improvement. The role is remote with occasional planned travel to the Southfield, Michigan office.

Performs dataset evaluations and assessments to support government decision-making; develops data engineering approaches, identifies data and analytical gaps, and collaborates with software engineers to validate application changes. Provides subject matter expertise to end users, documents repeatable analytic processes, and communicates findings to government officials. The role requires expertise in technical telemetry and telecommunications data, scripting, geospatial analysis, and intelligence-focused analytics.

Supports business intelligence, data analysis, reporting, dashboard development, forecasting, budgeting, and variance analysis for operations, supply chain, finance, and leadership teams. Uses Power BI, SQL, Excel, Oracle ERP, and OneStream to integrate and visualize data, improve reporting processes, document solutions, and communicate insights. Collaborates cross-functionally on BI roadmap initiatives, process improvements, automation, and data-driven decision-making.

Develop and maintain data integration, engineering, analytics, and decision-support solutions for infrastructure programs. Work with program managers, analysts, data owners, and stakeholders to identify requirements, integrate multiple data sources, build structured data models, establish quality controls, and modernize manual collection workflows. Create dashboards and analytical products, document solutions, support testing and operational use, and enable continued maintenance through source control and change-managed configurations.

Leads client-facing database migration and modernization engagements across AWS, relational, and NoSQL platforms. Designs migration architectures, data pipelines, ETL/ELT workflows, proof-of-concepts, and reusable technical accelerators. Facilitates executive conversations and workshops, translates complex technical solutions into business outcomes, and supports pre-sales opportunities. The role also develops GenAI-enabled migration tooling, influences senior stakeholders, and collaborates with distributed engineering, product, and data teams.

Analyze real-world and simulated autonomous-driving data, validate safety and reachability metrics against expert evaluations, investigate edge cases, and optimize model trade-offs. Collaborate cross-functionally to integrate quantitative safety signals into event triage and release-readiness workflows.

Develops and maintains metadata governance frameworks for a DoD customer, including automated metadata tagging, data lineage tracking, schema alignment, catalog interoperability, and compliance reporting. Integrates governance workflows across Data Catalog, Unity Catalog, OpenLineage, ESRI Kubernetes, GIS metadata repositories, and external data sources. Supports discoverability, classification, security, and real-time information sharing across defense, intelligence, interagency, and international partner environments.

Own the enterprise data architecture strategy, target-state models, governance standards, and multi-year roadmaps across Microsoft Fabric, Oracle Fusion ERP, analytics, AI, and enterprise applications. Establish data domains, interoperability standards, data products, metadata, lineage, quality, security, and lifecycle controls. Lead architecture reviews, governance decisions, and cross-functional collaboration while guiding engineering, analytics, security, and business teams toward scalable, trusted, business-aligned data capabilities.

Develops healthcare reporting and analytics solutions using Power BI and SQL to improve operational and clinical performance. Responsibilities include gathering requirements, validating data quality, creating dashboards and reports, partnering with data engineering and advanced analytics teams, training users, maintaining documentation, managing reporting timelines, and resolving data or logic issues.

The Sales Data Coordinator manages US distributor-reported sales and master data within VIP SRS. Responsibilities include maintaining data integrity, auditing depletion reports, resolving discrepancies, managing customer and product hierarchies, supporting sales routing and call point management, and coordinating with IT, distributors, vendors, and sales teams. The role also drives data enrichment, governance, access management, reporting improvements, and data quality processes.