Top Senior Data & Analytics Jobs in Reno, NV

The Senior Director will lead CMAA analytics initiatives, manage client relationships, and drive innovation using RWD and AI tools. Responsibilities include building teams, proposal development, and executing high-value projects for Pharma and Medtech clients.

The Business Optimization Analyst will analyze and optimize business processes, develop reporting solutions, and collaborate with stakeholders to improve operational efficiency and project success.

The role involves designing, developing, and maintaining Power BI dashboards, supporting data-driven sales operations, and ensuring data quality and governance while collaborating with various stakeholders.

The Senior Director Analyst in MDM leads research and advisory functions, focusing on Master Data Management strategies and providing clients with actionable insights to enhance their data initiatives. This role requires strong analytical skills and the ability to communicate complex concepts effectively.

The Director of Reporting and Data Management oversees data infrastructure for Workforce Management, establishing objectives, managing teams, ensuring data storytelling aligns with strategy, and leading predictive modeling efforts.

As a Sr. Business Analyst, you will facilitate requirements gathering, process design, and solution development, particularly regarding ServiceNow for federal clients.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

Design, architect, and deliver services for Ensemble's products while collaborating with cross-functional teams and mentoring junior engineers.

Lead the Engagement Data Warehouse team, owning the vision for data products and managing a team of data engineers. Drive data roadmap, engineering excellence, and foster team culture within data-intensive systems.

As Senior Manager of IT Commercial Data Management, you will lead data initiatives, manage product ownership, and develop data governance strategies in collaboration with stakeholders, ensuring high data quality and analytics capabilities.