Top Senior Analytics Jobs in Richmond, VA

Lead analytics engineering: architect, build, and maintain scalable data pipelines and dbt models; ensure data is research-ready; partner with Engineering, Data Science, and Commercial teams; implement product analytics and optimize data workflows for scale.

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.

Design and maintain ELT pipelines, build dimensional (star/snowflake) analytics models, implement data transformations and quality checks, document data lineage and governance, partner with BI users, and mentor junior engineers to deliver performant analytics for business reporting and KPIs.

Lead and scale Arcadia's Data & Analytics engineering org, define multi-year data platform and unified data model, optimize Snowflake architecture, enable cross-functional data usage, set governance standards, and drive technical execution across ingestion, transformation, and analytics.

Partner with cross-functional teams to analyze large healthcare datasets, build models and dashboards, and surface insights to reduce medical waste. Scope, run, and present analyses, monitor performance metrics, and support initiatives to improve financial and utilization outcomes.

Lead and scale Arcadia's Data & Analytics engineering organization, define multi-year data platform architecture (Snowflake-based), drive platform governance and cross-organizational adoption, optimize large-scale data processing, and align data investments with business goals while building high-performing teams.

In this role, you will lead deal analytics efforts, providing data-driven insights for strategic decisions, manage client relationships, and develop junior team members while participating in business development activities.

The Lead Marketing Analyst will analyze data to guide marketing strategies, manage a team, and improve campaign performance using analytics and dashboards.

Lead and scale advertising analytics and tooling to optimize paid-media performance and incrementality. Build predictive and prescriptive models (forecasting, pacing, bidding, attribution), enable automation and self-service insights, and partner cross-functionally to align ad strategy with business goals while coaching a high-performing analytics team.

Lead analytics strategy for channel marketing, build attribution and incrementality frameworks, run experimentation and forecasting, surface optimization insights, and grow a high-performing analytics team to improve ROI and guide investment decisions.

As a Senior Manager, Analytics, you'll lead a team of analysts to shape experiments, define metrics, and analyze data across initiatives, contributing to data culture and AI-driven innovation.

The Manager I, Analytics will lead a team to enhance data models, ensure data quality, troubleshoot issues, and manage analytics workflows, impacting healthcare information delivery for beneficiaries.

The Senior Analytics Engineer will design and maintain analytics architecture, data models, and transformation pipelines to provide accurate insights. They will ensure reliability and quality of analytics data and collaborate across teams to support AI and machine learning initiatives.

The Senior Business Operations & Analytics leader will support executive decision-making, define metrics, and improve operational efficiency across Filmhub, partnering closely with the CEO and other leaders to enhance performance and clarity as the company scales.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

Lead the Global Analytics team at Hitachi Vantara, driving data-driven decision making by managing data analysis projects and mentoring analysts.

Manage delivery of analytics projects in healthcare, translating business questions into data analyses and collaborating with cross-functional teams to meet client needs.

Lead technical transformation of Enterprise Operational Reporting, architect scalable analytics solutions, mentor analysts, and oversee DevOps practices.

Lead and scale the Analytics and Data Science functions, empowering teams to deliver insights that drive business outcomes and foster a data-driven culture.

Lead Data Sciences and Analytics team in delivering insights for drug development. Manage clinical data, develop models, and ensure compliance. Collaborate with stakeholders to facilitate data integration and visualization.

The Ecommerce Data Analytics Manager analyzes pricing, profitability, and marketing performance to optimize revenue and improve decision-making across the ecommerce business.

The Senior Analyst, Revenue Operations is responsible for delivering analytical insights, enhancing forecasting accuracy, and optimizing revenue processes while collaborating with various departments.

The Senior Predictive Analytics Analyst builds predictive models to inform business decisions, collaborating with teams and ensuring regulatory compliance.

Own end-to-end marketing performance measurement, design scalable analytics frameworks, and build dashboards and automated reporting. Lead advanced measurement (attribution, MMM, incrementality, experimentation), partner with data teams to improve infrastructure, and translate complex analyses into actionable insights to optimize ROI and pipeline contribution.

The Senior Analyst, GTM Analytics will analyze GTM performance, build reporting tools, and support decision-making in Sales and Revenue Operations. Requires strong analytics and cross-functional collaboration skills.