Top Data & Analytics Jobs

Build and optimize Microsoft Fabric data solutions, including notebooks, pipelines, Lakehouses, data models, and ETL/ELT processes. Migrate legacy SQL Server datamarts, develop scalable ingestion and transformation workflows, and ensure data quality, testing, reconciliation, and production support. Collaborate with business and technical teams to deliver analytics-ready data. The role requires onsite work in Jefferson City, Missouri, and includes preferred experience with Databricks, Azure Synapse, Power BI, and financial services.

Designs, builds, and optimizes scalable Databricks-based data platforms, pipelines, integrations, and reusable engineering tools. The role focuses on platform performance, reliability, cost efficiency, security, governance, automation, and cloud infrastructure. It collaborates with engineering, analytics, security, and other stakeholders on architecture, technical planning, production support, and continuous improvement. The position requires hands-on data engineering experience with Databricks, cloud services, Python, SQL, Spark, infrastructure-as-code, and CI/CD practices.

Develops Power Platform and Power BI solutions for Army and DoD data environments. Responsibilities include data modeling, ETL, gateway connections, Dataverse and warehouse integration, dashboard and report development, Premium Workspace management, SharePoint and Microsoft 365 alignment, requirements gathering, stakeholder presentations, and technical project planning. The role requires an active Secret clearance and hybrid work at the Pentagon one day weekly.

Leads Safety & Health data management by tracking, compiling, analyzing, trending, and communicating injury, illness, and leading-indicator data. Performs statistical analysis, identifies prevention opportunities, manages safety databases and action commitments, and supports safety program coordination. The role communicates findings to operational, executive, and corporate leadership, assists with administrative duties, and travels periodically between Quonset Point, RI, and Groton, CT facilities.

Build and maintain data ingestion, transformation, and ETL/ELT pipelines; support data modeling, warehousing, quality validation, governance, cloud platform deployment, and analytics environments. Collaborate with analysts, data scientists, and product teams, participate in Agile ceremonies and code reviews, and document data flows, lineage, and standards.

Supports analytics engagements through data extraction, transformation, integration, testing, documentation, data quality validation, and application maintenance. Collaborates with senior team members to resolve data issues and contributes to analytics solution implementation while developing consulting and technical expertise.

Leads analytics engineering teams and contractors building trusted data capabilities and cross-platform foundations. Establishes standards for data modeling, metrics, testing, governance, and production readiness; owns hiring, coaching, performance management, and capability planning. Prioritizes the analytics portfolio, translates stakeholder needs into deliverable solutions, and partners with IT Engineering on deployment and operations. Guides forecasting, propensity, segmentation, attribution, and responsible adoption of analytics and AI capabilities.

Build and maintain intelligence dashboards, reporting, and analytics products for leadership. Translate business requirements into scalable solutions, deliver executive and resilience reporting, identify trends and risks through predictive analytics, automate manual processes, improve data quality, and partner with stakeholders to align products with evolving business needs.

Own client data onboarding, schema mapping, validation, matching, and production pipeline operations. Build and maintain SQL, Python, and Spark workflows using Databricks and AWS, with orchestration, monitoring, testing, and documentation. Troubleshoot schema drift, source-file issues, credentials, dependencies, and vendor problems. Support routine audience and direct-mail production through suppressions, address hygiene, reconciliation, quality control, and vendor-file preparation while protecting sensitive and regulated data.

Build and operate a governed Snowflake enterprise data warehouse, including ingestion, orchestration, dbt transformations, infrastructure as code, security controls, reliability checks, and CI/CD. Partner with data owners and BI teams during migration from legacy systems, ensure compliance for sensitive financial data, support reconciliation and incident resolution, and mentor engineers. The role requires hands-on ownership of pipelines and platform components across development and production environments.