Top Data & Analytics Jobs in Reno, NV

Responsible for supporting and enhancing Oracle ERP and EPM financial processes, ensuring accurate reporting and collaboration with finance teams.

The Senior Director of Data Strategy leads the Data Strategy team, architecting measurement solutions and guiding enterprise clients. Responsibilities include managing team operations, delivering client solutions, and collaborating with cross-functional teams to develop innovative data strategies while ensuring high client satisfaction.

The role involves managing the data infrastructure at Convo, optimizing ETL/ELT processes, ensuring data quality, and collaborating with cross-functional teams on data projects.

The Senior Database Analyst will optimize a legacy SQL Server environment and design a modern platform using PostgreSQL and ClickHouse. Responsibilities include auditing server performance, designing database schemas, managing multi-tenant databases, and improving data ingestion methods.

The VP Global Grid Modeling will lead global data strategy, manage high-performing teams, ensure quality datasets, and engage with customers for insights in energy markets.

The role involves building and scaling a Closed-Loop Design Program that enhances pre-sales engineering through data science and analytics in supply chain automation.

The Technical Enablement & Documentation Lead is responsible for developing and maintaining product documentation, creating a certification program, and collaborating with teams to improve the knowledge experience for Flosum's users.

As a Technical Solutions Manager, you'll onboard Enterprise customers onto Medallion's platform, focusing on data migration, integration, and automation for enhanced operational efficiency.

The Forward Deployed Data Engineer at ZoomInfo designs and delivers custom intelligence applications for strategic accounts, managing engagements end-to-end and collaborating with various teams to optimize data solutions.

The Senior Azure Data Platform Engineer manages Azure SQL databases and Data Factory operations, ensuring stability and performance in a complex environment. The role involves troubleshooting, automating processes, and engaging with clients while leading data load ownership initiatives and enhancing operational practices.