Top Data & Analytics Jobs in Reno, NV

The Catastrophe Modeling Analyst supports catastrophe modeling, data analysis, and communication, preparing exposure data and interpreting model results to provide insights for clients. Responsibilities include monthly modeling, dashboard development, stakeholder communication, and contributing to team growth.

Implement client revenue cycle data into company systems by creating and configuring ETL processes, building data transformations and logical/physical schemas, documenting solutions in Jira, attending client meetings, and mentoring team members to ensure post-implementation data integrity.

The Senior Clinical Research Associate manages site monitoring and relationships for clinical trials, ensuring compliance and patient safety according to GCP and regulations.

Evaluate and rate search results in Simplified Chinese to improve search engine quality and augment AI data. Complete weekly tasks remotely (10–25 hrs/week), follow client rules and conventions, pass training and quality tests, and sign an NDA.

As a Revenue Integrity Analyst II, you will audit charges, analyze billing data, ensure compliance, and collaborate with cross-functional teams to improve revenue integrity.

Responsible for analytical data needs, guiding complex data projects, and providing insights for decision-making in workforce and talent operations.

Lead and build PushPress's data and AI foundation: define data strategy, architect pipelines and warehousing, ensure data quality and governance, enable AI product features, deliver analytics and reporting, and hire and grow a high-performing data team.

The analyst will assist in financial forecasting, budgeting, and reporting, create financial models, and collaborate with various operational teams, ensuring informed decision-making.

The analyst will connect data to business issues, develop dashboards, support fraud detection systems, collaborate cross-functionally, and analyze performance for improvements.

Lead Sales and Marketing analytics for GTM optimization: build dashboards, run deep-dive and predictive analyses, ensure data integrity, support incentive and quota modeling, and present executive-level insights to drive pipeline, conversion, and revenue efficiency.

Analyze data and create visualizations to drive business decisions, collaborating with team members and stakeholders to provide actionable insights.

Manage integration processes, analyze data quality, design reporting solutions, and facilitate integration teams while supporting enterprise initiatives.