Top Analysis Reporting Jobs in Reno, NV

The Technical Architect will define target architectures and implement Medallion architecture while ensuring data security and governance. They will lead data quality frameworks, CI/CD practices, and mentor engineering teams, aligning data services with business needs and overseeing analytics integration.

As a Senior Product/Marketing Analyst, you will drive data-informed decisions to optimize product growth and marketing ROI through analysis, experimentation, and collaboration with teams.

Lead data strategy for Stripe's risk product, design metrics and frameworks, manage data reliability, mentor analysts, and evaluate risk experimentations.

The Director Data Client Solutions leads technical aspects in sales, enables client success through data solutions, and requires strong leadership in analytics and engineering efforts.

As a Data Analyst, you will create dashboards, analyze data, and ensure data quality while working with the VP of Finance.

As a Senior Analytics Engineer, you'll scale reporting infrastructure, transform raw data into insights, optimize SQL queries, and enhance Tableau dashboards, focusing on data quality and collaboration with stakeholders.

The Data Engineer builds and maintains data pipelines and platforms, collaborating with Data Scientists and Analysts to optimize data management and integration for insights.

The Data Architect will shape the data architecture and reporting strategy, ensuring data governance and developing scalable data solutions on Azure services.

The Staff Data Scientist will oversee Foodsmart's member growth analytics, focusing on marketing and product funnel optimization, experimentation, attribution modeling, and enhancing self-service analytic tools while collaborating closely with leadership and cross-functional teams.

The Principal Data Scientist will lead analytics for Mortgage sales, focusing on customer retention and lead optimization. Responsibilities include applying advanced analytics to enhance marketing strategies, conduct customer segmentation, and oversee lead generation processes. This role requires strong programming skills and collaboration with business partners to communicate insights effectively.