Top Senior Analysis Reporting Jobs in Hampton, VA

Designs, implements, and supports enterprise data warehouses, data marts, operational data stores, ETL frameworks, and data integration solutions. Responsibilities include source analysis, data profiling, pipeline development, data mapping, transformation design, architecture documentation, testing, quality validation, deployment coordination, performance optimization, and regulatory compliance. The role collaborates with architects, business users, operations teams, and cross-functional partners while using Talend and cloud, big data, database, and scheduling technologies.

Lead and grow the Revenue Analytics team to deliver strategic sales and customer lifecycle insights. Build forecasting, pipeline, capacity, predictive models, and customer lifecycle analytics to improve revenue, retention, adoption, and expansion. Partner with GTM, Finance, Product, and Enterprise Data to create executive reporting, data governance, AI-enabled self-serve datasets, and integrated analytics that drive business outcomes and support a shift to consumption-based models.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Develop and maintain data integration, engineering, analytics, dashboards, digital data-collection workflows, and decision-support solutions for NATO capability and infrastructure programs. Responsibilities include integrating multiple data sources, creating data models and quality controls, modernizing manual processes, documenting solutions, conducting user testing, communicating analytical findings, and transitioning products to sustainment teams. The role requires direct collaboration with program managers, data owners, analysts, and operational decision makers.

Leads enterprise analytics, reporting, data engineering, and data platform teams. Sets strategy, manages managers and technical teams, drives modernization and roadmap execution, and partners with business and technology leaders. Oversees scalable, secure, governed analytics solutions using Microsoft and Databricks technologies while establishing standards for data management, reporting, operational support, and self-service analytics. Also supports AI-enabled capabilities, vendor relationships, budgets, and high-performing team development.

Develop and maintain an authoritative Navy Reserve data ecosystem, including enterprise data pipelines, architectures, observability, governance, automated data feeds, and legacy-system integration. Analyze capability gaps and vulnerabilities, recommend solutions, and implement data management standards supporting analytics, AI, process automation, and digital modernization. The role requires substantial experience with Python, PySpark, JavaScript, SQL, Databricks, Navy Reserve systems, Advana, and Alchemy pipeline code.

Coordinates and consolidates impact analyses, forecasts, month-end results, and executive reports for management decision-making. Analyzes complex business needs, develops solutions, supports product enhancements, and maintains expertise in enterprise data systems and business models. Collaborates with internal departments and external auditors, reviews financial reconciliations, and supports actuarial analyses involving healthcare cost forecasting and claims data. Presents detailed analytics to technical and non-technical audiences while providing leadership on financial performance evaluation.

Leads data analysis supporting Navy logistics by building Power BI and Qlik Sense dashboards, conducting statistical and exploratory analysis, developing KPIs, and transforming DoD datasets. The role cleans and integrates data using SQL, Python or R, builds ETL/ELT pipelines in Databricks, and works with ADVANA and cloud data environments to deliver reliable, executive-ready analytics. It requires an active Secret clearance, a technical bachelor’s degree, and at least five years of professional experience.