Top Analytics Jobs in Hampton, VA

Lead design and implementation of scalable data models and analytical tooling for Consumer Product. Partner cross-functionally to translate business needs into reliable SQL/Python data products, dashboards, and automated pipelines using engineering best practices (CI/CD, testing, version control, monitoring). Drive data-informed strategy and manage long-term infrastructure while supporting ad hoc requests.

Lead people analytics strategy and execution: build HR data governance, remediate UKG Pro data quality, deliver enterprise people scorecards and dashboards, advance analytics from descriptive to predictive, and partner with HR, Technology, and Finance to drive data-driven workforce decisions.

The Analytics Engineer will design and implement analytics solutions, maintain reporting dashboards, partner with Product on KPIs, and support marketing with analytics.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

The Databricks Architect will design and implement large-scale data solutions, optimizing performance and reliability, while leading initiatives in data engineering.

Lead post-sales and revenue analytics by integrating product telemetry, support signals, and revenue data. Build scalable data models, reusable datasets, and semantic layers. Define SaaS metrics, forecast revenue and usage, predict expansion and churn, and deliver dashboards and insights to drive renewals, expansion, and revenue growth.

The Senior Analytics Engineering Manager will oversee analytics engineering vision, manage a team, ensure data quality, and drive data-driven decisions across departments.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

The Director of Data Analytics & Business Intelligence leads analytics functions, building models and dashboards while guiding a team. Responsibilities include analytics infrastructure management, cross-functional collaboration, and driving AI/ML initiatives.

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.

Analyze syndicated and customer research data to identify assortment and white-space opportunities that drive traffic and sales. Create standardized reports, support merchant decision-making, prepare senior-leader presentations, assist customer research and training, and recommend process improvements to increase analytics efficiency.

Lead reporting and analytics for store operations: develop and maintain operational metrics and reports; analyze trends and exceptions; provide insights and recommendations; manage and develop an analytics team; drive process improvements, predictive models, and cross-functional partnerships to improve store and financial performance.

Analyze internal and third-party syndicated data to identify assortment and white-space opportunities, build Power BI dashboards and reports, support customer segmentation and marketing measurement, generate insights and narratives for merchants and senior leaders, and help improve data collection and analytics processes to drive traffic and sales.

Analyze syndicated and customer research data to identify assortment and white-space opportunities that drive traffic and sales. Produce standardized reports, support merchandising strategies, prepare senior leader presentations, lead training on data interpretation, and recommend process improvements to enhance team efficiency.

Lead development and implementation of ethics and compliance analytics, dashboards, and automated reporting. Collaborate with stakeholders and IT to maintain investigation data, deliver ad-hoc and recurring reports, drive data quality and process improvements, and provide insights to support program effectiveness and decision-making.

Lead a small team of analysts to deliver customer, category, and performance insights for merchandising and marketing. Drive syndicated and internal data analysis, automate reporting, manage external data suppliers, inform senior leadership, and embed customer segmentation and research into campaign planning to grow trips, sales, and long-term business performance.

Partner with business and engineering teams to define and deliver enterprise data products (dashboards, KPIs, semantic layers). Translate stakeholder needs into requirements, manage scrum priorities, design analytics prototypes, perform reporting and KPI monitoring, ensure data quality and governance, and drive adoption via user research, documentation, and change management.

Lead design, development, and migration of enterprise data warehouse solutions from SAP BW/BW4HANA to SAP Datasphere. Architect data models and hybrid data flows with Microsoft Fabric/Azure Synapse, integrate BW with Salesforce and SQL Server, embed AI capabilities (Copilot, Azure OpenAI), manage offshore teams, enforce standards, and deliver Power BI reporting and analytics to business stakeholders.

Lead design, development, and migration of enterprise SAP BW solutions to SAP Datasphere; architect hybrid data flows with Microsoft Fabric and Azure Synapse; integrate BW with Salesforce and SQL Server; embed AI (Copilot, Azure OpenAI) into analytics; manage deliverables, mentor offshore teams, enforce standards, and ensure data integrity and performance for reporting and analytics.

Lead data science and analytics initiatives for healthcare, overseeing model development, data integrity, and large-scale automated analyses. Provide actionable insights, mentor teams, collaborate with cross-functional partners, evaluate payment integrity campaigns, and present findings to stakeholders to optimize revenue, quality, consumer experience, and healthcare costs.

Manages reporting and analytics operations, teams, workflows, critical business intelligence reports, and performance metrics. Leads data process improvements, requirements analysis, systems development, testing, reporting projects, and process re-engineering. Uses SQL, data warehouses, QlikView, Tableau, and related tools to support operational, financial, quality, compliance, and strategic decisions. Mentors staff, manages priorities, monitors risks, and partners with business leaders and clients.

Develops business intelligence, reporting, data pipelines, dashboards, and geospatial solutions for complex real estate portfolios. Transforms and integrates data from multiple sources, builds scalable analytics products, automates reporting processes, and supports portfolio planning, occupancy strategy, workplace initiatives, and operational decision-making. Partners with stakeholders and clients to translate business needs into technical solutions, communicate insights, train users, and improve analytics adoption. The role also supports geospatial capabilities and leverages emerging AI-enabled tools.

The Data Architect will design scalable data models, transform raw data into actionable insights, and deploy analytics solutions for healthcare providers, with a strong emphasis on SQL proficiency and cloud technologies.

Execute underwriting and case-valuation analytics: write and optimize SQL, build dashboards, maintain valuation models, forecast case outcomes, monitor portfolio performance, and translate insights for operational and marketing stakeholders.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.