Top Senior Data & Analytics Jobs in Reno, NV

The Senior Analytics Engineer will develop data pipelines, build models, and create dashboards to provide actionable insights for various teams. The role requires collaboration with multiple stakeholders to meet analytical needs and ensure data governance.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

Lead enterprise prospect intelligence and pipeline optimization for university fundraising. Translate data and analytics into actionable strategies, manage two staff, partner with advancement and technology teams, and drive prospecting methodology innovation and policy.

Lead category and customer analytics to identify growth opportunities using POS, syndicated, and shopper data. Develop omni-channel insights, assortment and promotional recommendations, present to customers, and collaborate with Customer Development Managers to drive sales and strategic initiatives while ensuring accurate, error-free data and clear stakeholder communication.

Senior individual-contributor analyst who researches and models enterprise and workforce costs (compensation, benefits, total rewards). Forecasts large-scale cost initiatives, synthesizes proprietary and public data, publishes guidance for CHROs, advises senior leaders, delivers presentations, mentors junior staff, and collaborates across research and analytics teams. Up to 25% travel.

Lead HR analytics initiatives by designing predictive models, building full-stack analytics applications, and partnering with HR stakeholders. Develop data models, ensure governance, perform advanced statistical analyses, and present actionable insights. Drive application development, testing, documentation, UX collaboration, and adoption tracking across global HR teams.

Lead mobile analytics and experimentation for the NPR App: design and analyze experiments, extract insights from complex datasets, build reports and visualizations, write advanced SQL, partner with product and newsroom stakeholders, train colleagues, and deliver actionable recommendations to grow audience and revenue.