Top Remote Data & Analytics Jobs in Hampton, VA

Lead advanced product analytics for a consumer product team by analyzing complex data, designing experiments, applying statistical and causal inference methods, developing metrics and reporting tools, and delivering actionable recommendations to cross-functional stakeholders and senior leadership. The role requires strong Python or R and SQL skills, product analytics experience, AI-assisted analytics proficiency, and the ability to influence product strategy.

Develop business intelligence and analytics solutions using financial, operational, RF, and video performance data. Build scalable data models, dashboards, reports, automation workflows, and ETL/ELT processes using Power BI, Tableau, DataMiner, and Qligent. Analyze trends and anomalies, monitor satellite and video delivery performance, translate business requirements into actionable insights, and collaborate with enterprise stakeholders in a fully remote consulting role.

Guide customers through data integration and migration, analyze data quality, identify and resolve anomalies, support validation and system synchronization, and document troubleshooting practices. The role communicates recurring data trends to product and engineering teams, improves operational processes, and enhances customer self-service. It requires professional QuickBooks experience, customer-facing technical support or onboarding experience, strong communication, and problem-solving skills.

Leads commercial business intelligence strategy, Power BI reporting, dashboards, analytics, data governance, CRM optimization, and sales process improvement. Manages two direct reports and partners with commercial, finance, and operational leaders to improve revenue performance, forecasting accuracy, data quality, and commercial effectiveness. Oversees sales incentive compensation analytics and cross-functional system transformation initiatives. The role is fully remote with 10% overnight travel.

Own B2B pipeline and B2C growth analytics, including attribution, acquisition, registration funnels, SEO performance, forecasting, dashboards, experimentation, and marketing measurement. Partner with marketing, growth, product, sales, and data engineering to establish reliable metrics, improve reporting, guide investment decisions, and communicate actionable insights. The role also contributes to dbt models, semantic layers, AI-assisted analytics, and analyst mentorship.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy, delivers executive dashboards and operational reporting, establishes KPI and governance standards, builds semantic models and curated datasets, and drives self-service BI adoption. Partners with Engineering, Product, Finance, Operations, Customer Success, and executives to translate business needs into trusted analytical solutions while developing talent and prioritizing analytics initiatives.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy; delivers executive dashboards, KPI scorecards, operational reporting, semantic models, and self-service BI. Establishes data governance and metric standards, ensures data quality, partners with Engineering, Product, Finance, Operations, and executives, and translates business questions into actionable analytical solutions. Mentors analytics talent and drives prioritization, adoption, and measurable business outcomes.

Work with clients and technology teams to gather and translate business requirements into technical user stories and solutions, propose process improvements, and communicate effectively with stakeholders. Assist in analytical solution delivery and may write/execute SQL queries.

Leads the design and development of Mozilla’s data platform, processing tens of terabytes daily. Builds GCP workflows using Dataflow, BigQuery, Pub/Sub, GKE, and Airflow; evaluates technologies; establishes engineering standards; partners with Data Science, Product, Legal, Policy, and Engineering; develops data abstractions; mentors engineers; and supports evolving data products.

Own and evolve Looker as the company-wide business intelligence platform. Build dashboards, data models, pipelines, and integrations connecting Snowflake and other sources. Ensure data quality and provenance, support operational reporting, and partner with Finance, Data Science, and business teams. Help develop AI- and LLM-based agentic reporting tools that enable self-service analytics. Communicate technical concepts across the organization and provide insights for operational decision-making.