Top Analytics Jobs in Hampton, VA

Own and build Underdog’s regulatory reporting data platform, including dbt models, resilient pipelines, automated validations, monitoring, and reporting roadmaps. Partner with regulators, engineering, product, compliance, and leadership; lead audits, investigations, root-cause fixes, data governance, and on-call operations. WOOF WOOF.

Leads a team delivering Customer Success reporting, dashboards, KPI frameworks, and operational analytics. Oversees reporting accuracy, data integrity, recurring metrics, workflow improvements, and automation. Partners with Customer Success and services leadership to translate business needs into analytical requirements, prioritize initiatives, standardize reporting methodologies, and communicate performance insights. Coaches analysts, manages workload and development, and supports data-driven operational decision-making and scaling.

Leads internal data analysis projects, identifies business opportunities and risks, delivers strategic insights to leadership, manages junior analysts, develops dashboards, and improves data quality across company platforms. The role requires translating quantitative findings for nontechnical audiences and applying healthcare or pharmaceutical dataset experience to strategic decision-making.

Own client-facing analytics strategy and implementation across GA4, Adobe Analytics, tagging, measurement frameworks, dashboards, experimentation, and GEO measurement. Audit and QA analytics implementations, define KPIs, evaluate incrementality and causal relationships, present executive-ready insights, and collaborate with SEO, paid media, creative, data, engineering, and client teams. Build AI-assisted workflows, automations, scalable tools, and dashboards while mentoring teammates and managing multiple client workstreams.

Leads and scales a global data engineering and analytics team while remaining hands-on with architecture, pipelines, data quality, dimensional modeling, dashboards, reporting, and customer-facing deliverables. Owns the analytical data platform supporting clinical, operational, product, financial, and customer data. Partners with cross-functional stakeholders, investigates complex data issues, improves platform reliability and security, and mentors engineers.

Conduct quantitative research for traders by testing market hypotheses, building and maintaining documented signals, performing event studies and backtests, and validating results against leakage, survivorship bias, transaction costs, and regime dependence. Organize reproducible point-in-time datasets, communicate findings clearly, track signal performance, and use AI tools to accelerate research and coding while verifying outputs.

The Analytics Architect will design and implement cloud-based analytics solutions, maintain data pipelines, ensure data quality, and collaborate with teams to enhance operational efficiency.

Leads enterprise analytics engineering by establishing statistical standards, validation and QA practices, measurement frameworks, reporting standards, governance, reusable data pipelines, automation, and production-grade analytics solutions. Connects Commercial, Medical, Market Access, and other teams to enable scalable, trusted, compliant, and decision-focused analytics. Requires strong technical and cross-functional leadership, analytics infrastructure expertise, and the ability to build enterprise capabilities from ambiguity.

Own enterprise analytics audits, implementations, data quality, attribution, segmentation, SQL analysis, BI dashboards, experimentation measurement, and client reporting. Serve as the senior analytics partner for major accounts, present insights to executives, train client and internal teams, and help define analytics and experimentation services. The role requires hands-on Adobe expertise, autonomous prioritization, technical collaboration, and the ability to connect organic and AI search performance to pipeline and revenue.

Build and maintain CS reporting, dashboards, and health score models to identify renewal risk and inform strategy. Deliver executive reporting, collaborate cross-functionally to improve data quality, and develop predictive analytics and longitudinal tracking to reduce churn.

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 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.

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

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

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.

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.

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.