Top Analysis Reporting Jobs in Reno, NV

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

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.

The role focuses on business analysis and project management, emphasizing analytics and reporting in an Agile environment. Responsibilities include requirements elicitation, solution design, project coordination, and stakeholder engagement to meet business goals in the pharmaceutical sector.

The Senior Data Analyst will collaborate across teams to provide insights, build analytics databases, create dashboards, and automate reporting solutions. They will analyze data trends and partner with IT and product teams to enhance data models.

The Data Engineer will develop and maintain data pipelines, build data models, ensure data quality, and support cross-functional teams while improving internal data platform infrastructure and documentation.

As an Analytics Lead, you will manage the measurement strategy, oversee tracking architecture, design testing frameworks, and create insights for clients. You'll lead a junior specialist and ensure data integrity across client accounts. Responsibilities include building dashboards, interpreting metrics, and creating measurement plans to drive business decisions.

The Senior Client Data & Analytics Lead guides clients in developing data capabilities, coaching their teams, and translating needs for product delivery. This role combines data leadership with client interaction and strategic planning.