Top Analysis Reporting Jobs in Reno, NV

The Sr Data Enablement Specialist will enhance data governance, support BI tools, implement AI workflows, and provide training resources to improve data utilization across teams.

Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.

The Sr. Product Analyst will identify growth opportunities through user data analysis, manage A/B testing, enforce statistical rigor, and create dashboards to support the Growth team.

As a Senior Data Engineer at EverHealth, you will design and maintain data pipelines, enhance warehouse infrastructure, and ensure data quality to support reporting and analytics for healthcare products.

The Data Engineering Intern will assist in building, testing, and maintaining data pipelines, support data ingestion and integration, and contribute to data transformations and analytics models using various modern tools.

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

The role involves supporting sales and services initiatives through data analysis, relationship management, and cross-functional collaboration to inform strategies and optimize processes.

The Data Engineer designs, builds, and supports ELT/ETL pipelines on Azure, ensuring reliability, quality, and collaboration with data stakeholders for analytics and reporting.

The Program Integrity Data Scientist II develops and deploys analyses for payment accuracy and fraud detection, collaborates with teams, and analyzes claims data for anomalies.

The Quality Analyst III analyzes healthcare data, generates reports and dashboards, provides data insights, and collaborates with cross-functional teams on quality performance metrics.

As Senior Director, Head of Data, you'll lead Coca-Cola's data strategy to enhance operational efficiencies, develop AI-driven solutions, and engage stakeholders.

The Data Engineer will build and scale data systems, manage data pipelines, ensure data quality, and collaborate with cross-functional teams to utilize entertainment data effectively.