Top Remote Analysis Reporting Jobs in Reno, NV

Drive Data Governance requirements, analyze and validate data, collaborate with stakeholders, and maintain Data Governance artifacts using SQL and Informatica tools.

The Data Analyst will perform advanced data modeling and analysis, manage data collection systems, and communicate findings to stakeholders, driving data-informed business decisions.

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights; manage people, mentor staff, partner with product and engineering, and build accessible data products and measurement practices.

The Principal Business Information Architect leads the development of enterprise information architecture, ensuring alignment with business strategies and regulatory compliance, while managing metadata and data governance processes.

The Data Integration Lead designs and implements scalable data pipelines using Databricks, optimizes data workflows, ensures data security, and collaborates with stakeholders to create technical solutions.

The Insurance Product Analyst II supports state management for auto insurance products by conducting research, analyses, and executing product launches. Responsibilities include regulatory compliance, data analysis, and communication across teams.

Lead data engineering initiatives to design and deploy data infrastructure. Optimize data warehouses and automate reporting, ensuring data accuracy and governance.

Manage data engineering efforts to build scalable data infrastructure. Optimize data warehouses, automate reporting, and translate business needs into data solutions.

Analyze product performance metrics and user behavior to drive insights for product improvements. Collaborate with teams to develop reporting practices, A/B tests, and dashboards to inform strategy.

The Head of Lottery Data Engineering & Data Warehousing leads the strategy and delivery of the lottery data platform, ensuring quality, compliance, and efficiency in data processing and storage across jurisdictions and products.