Top Data & Analytics Jobs in Reno, NV

Design, build, and maintain data integration, warehouse, and BI solutions supporting subscriber acquisition, campaign and storefront systems. Create schemas, stored procedures, dashboards, and reports; optimize queries; aggregate multi-source data; ensure data quality, PII compliance, and platform observability. Collaborate across teams, mentor engineers, and provide executive reporting and analytics for video/OTT products.

The Sr. Data Engineer - Databricks designs and maintains scalable data solutions using Apache Spark and Databricks, ensuring data quality and performance for analytics and reporting.

The Looker Data Engineer will build and optimize data models, develop reporting solutions, and support data-driven decisions using Looker and other technologies.

Design, implement, and support enterprise data integrations connecting JDE, Workday, Salesforce and other platforms. Lead SQL-driven ETL/ELT pipelines, develop reusable integration frameworks, ensure data integrity and audit readiness, perform regression and production troubleshooting, and provide architectural oversight and mentorship across multiple concurrent projects.

Design and deliver scalable Power BI data models, dashboards, and reporting solutions. Collaborate with stakeholders, establish visualization governance and best practices, prototype solutions, and own projects end-to-end to enable data-driven decisions across healthcare teams.

The Senior Data Analyst will analyze performance data, identify trends, and provide insights to improve organic search performance for clients, working closely with cross-functional teams.

The Staff Data Analyst will enhance data usage for strategic decisions, architect scalable models, partner across teams on data solutions, and lead analytics engineering standards.

Design and implement data infrastructure and pipelines, ensuring reliability and quality. Collaborate with teams for data solutions and optimize processes. Coach junior engineers.

Analyze product and user engagement data to generate insights, build dashboards and reports, design and evaluate A/B tests, define success metrics with product and engineering, ensure data accuracy, and communicate findings to cross-functional stakeholders to guide product and business strategy.

The role involves designing and optimizing data pipelines in Snowflake, developing ETL workflows, collaborating on data integration, ensuring data security, and performance monitoring.