Top Senior Analysis Reporting Jobs in Hampton, VA

Develop and maintain data integration, engineering, analytics, dashboards, data models, workflows, and decision-support solutions for NATO infrastructure and enabling-capabilities portfolios. The role requires partnering with programme stakeholders, integrating enterprise data sources, improving data quality and governance, communicating analytical findings, conducting user testing, and transitioning solutions into sustainable operational platforms. This is an on-site, contingent position in Norfolk, Virginia requiring U.S. citizenship and an active NATO or U.S. Secret-or-higher clearance.

Leads enterprise master data strategy, governance, quality, maintenance, documentation, and compliance. Manages data creation workflows, audits, cleansing, standardization, reporting, and process improvements while serving as a subject matter expert. Partners with business and technical teams on SAP PLM, SAP MDG, and other platform initiatives, oversees testing and implementation, and develops team members through coaching and leadership.

Lead People Insights analytics across EMEA and APAC by developing predictive models for attrition, headcount, and talent forecasting. Partner with HR and business leaders to translate workforce challenges into analytical projects, communicate findings to nontechnical stakeholders, improve People processes, and maintain data integrity and regulatory compliance. The role also involves workforce data extraction, validation, analytics pipeline improvement, and exploring AI applications for HR analytics.

Design and maintain enterprise data architectures, databases, data models, warehouses, and integrations supporting Naval Shipyard maintenance operations. Ensure data quality, integrity, security, and recoverability across multiple Navy IT systems. Develop analytics, dashboards, visualizations, prediction tools, queries, and decision-support products for NAVSEA leadership. Collaborate with business analysts and software engineers, support lifecycle planning and portfolio architecture requirements, and participate in technical and metrics-focused user groups.

Lead technology, data integration, platform operations, and technical validation for the HEDIS program. Manage ETL developers and support staff; oversee data feeds, production operations, data-quality controls, technical documentation, vendor coordination, audit support, and reporting. Support migration from Inovalon/Cotiviti to a future-state platform (Arcadia) and ensure HEDIS measurement, validation, and NCQA-related compliance.

Administer and secure DCIM database systems (Nlyte Neo), collect/ingest and clean data center equipment/cabling data, build scripts, complex views, reports and Power BI dashboards to visualize power/space/cooling/cabinet utilization, tune performance, document designs and processes, assist software releases, design cloud data solutions, and support enterprise data center portfolio management for mission-critical operations.

Lead Dollar Trees customer insights and analytics function to inform merchandising and marketing strategy. Own supplier relationships, customer research, marketing mix modeling, sales attribution, and dashboarding. Manage a team of direct reports, deliver enterprise insights, budget and vendor oversight, and drive data-driven storytelling to influence senior leaders and accelerate growth.

Lead big data design and development using IBM's big data platform. Architect and build solutions for technical/scientific use cases with hands-on experience in Hadoop, Spark, HBase, Hive, Pig, and R. Communicate with customers, lead meetings, and guide diverse teams to deliver solutions.

Design and implement scalable cloud data platforms and ETL/ELT pipelines using Snowflake, dbt, Fivetran, Dagster on Azure. Build data models and analytics/reporting solutions (Power BI), optimize performance, translate business requirements into modern architectures, and provide client-facing consulting with strong stakeholder and executive communication.

Build and operate core data infrastructure for edge and hybrid environments, including ingestion, OT/IoT integrations, real-time streaming, data contracts, schemas, validation, lineage, observability, telemetry, and scalable query access. The role requires production ownership, reliability practices, customer integration, and collaboration across engineering and customer-facing teams. Candidates should have 6+ years of experience with production data, streaming, or integration systems and proficiency in Python and/or Go.