Top Remote Data & Analytics Jobs

Leads the data organization across data engineering, analytics, reporting, and data science. Defines data strategy, architecture, governance, quality, and platform roadmaps; manages and develops technical teams; partners with business and engineering leaders; and guides scalable AWS-based data infrastructure, batch and real-time pipelines, and data products that support strategic growth.

Develops and maintains dashboards, reports, data tools, and data infrastructure for Consulting. Analyzes client, project, portfolio, capacity, compliance, and outcomes data to identify trends and support decisions. Maintains data integrity across Salesforce, Resource Hero, Power BI, and related systems; establishes governance standards; trains staff; and manages consulting projects, workflows, budgets, timelines, and deliverables.

Design and deliver modern data platforms, scalable and secure ingestion and transformation pipelines, durable data models, streaming systems, and reporting layers. Partner directly with clients and business stakeholders to translate requirements into architecture, explain tradeoffs, and own delivery outcomes. The role includes production implementation across cloud data platforms, orchestration, governance, real-time technologies, and analytics or AI data consumption.

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.

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.

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.

Build and operate reliable data pipelines transforming flight test, simulation, and operational data into versioned, traceable ML training datasets. Responsibilities include ingestion, normalization, time alignment, validation, dataset lineage, anomaly mining, labeling workflows, deployment feedback loops, monitoring, and data coverage analysis. Collaborate with flight test and operations teams on instrumentation and data access. The role is on-site in Boston and requires production data engineering experience supporting machine learning pipelines.