Top Analysis Reporting Jobs in Reno, NV

As a Senior Data Engineer, you'll design and maintain scalable data pipelines, optimize workflows with dbt and Snowflake, and mentor teams across functions to enhance data reliability and performance.

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.

The Senior Business Intelligence Analyst will transform data into insights, design dashboards, and provide analytical support for strategic decisions, working closely with stakeholders and teams.

Design, develop, and optimize Tableau dashboards and data sources on Redshift; collaborate with data engineering (dbt) and business teams; own Tableau governance, performance tuning, documentation, training, and ensure data security compliance.

The Data Engineer Senior will optimize data pipelines, work within scrum teams, mentor others, and improve data quality, reliability, and governance.

Lead the Retention Analytics team by providing insights into subscriber journeys, data analysis for retention strategies, and managing a team of analysts.

The IBM TM1 Developer will manage the SDLC for Finance applications, focusing on TM1 and migrating from Essbase, while collaborating with global teams.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

Design, build, and scale data pipelines and integrations for the TDX platform. Implement REST API integrations, ingest and unify customer data, optimize pipelines for performance and quality, ensure data security and governance, and collaborate with Product, Data Science, and customer teams to deliver reliable analytics-ready data.

Serve as the primary data partner for Fundraising & Marketing: design and build source-of-truth data models in the lakehouse, create forecasts and donor cohort analyses, automate reporting and data products, support experiment design and ROI measurement, partner with engineering and Salesforce to improve data quality, and translate insights for leadership to drive fundraising strategy.