Data Analyst

• Transform population health data into meaningful stories: Create dashboards, scorecards, and reports that communicate trends, performance, and opportunities in a clear and actionable way.
• Develop analytics that drive enterprise-wide performance in the following domains: Quality Measures: HEDIS reporting, STAR ratings, gap closure
• Medical Expense: cost-of-care trends, utilization, savings opportunities
• Value-Based Care & Network Performance: contracting insights, pay-for-performance metrics, financial performance
• Employer Group Reporting: clinical and financial outcomes reporting for employer clients
• Clinical Integrated Network (CIN) Reporting: quality, financial, and operational analytics for CIN providers
• Provider Performance Analytics: quality, and financial performance analytics
• Benchmarking: quality, utilization, and performance benchmarking
• General Population Health Reporting: trends, cohorts, risk indicators, and care management support
• Support key reporting needs across the organization
• Engage directly with stakeholders: Collaborate with diverse internal teams, and external provider partners to understand analytic needs and translate them into actionable solutions.

Senior Healthcare Data Analyst

• Partner with iCasino stakeholders to support customer acquisition efforts
• Analyze offer performance and identify industry trends
• Segment customer database and perform ad-hoc analysis
• Create standardized reporting to uncover actionable insights that drive player engagement, retention, and revenue growth
• Translate findings into business recommendations and support strategic decisions enhancing customer value and contributing to business objectives

Analyst II, Digital Analytics – iCasino

• Work directly with Marketing, Sales, and CX leaders to diagnose business challenges, define analytical roadmaps, and drive growth strategies.
• Develop rigorous analyses, models, and frameworks to optimize customer acquisition, lifecycle engagement, and retention.
• Build scalable machine learning solutions (e.g., targeting, segmentation, uplift modeling, LTV prediction) that improve growth efficiency and ROI.
• Drive acquisition, retention, and monetization through data-driven experimentation and modeling.
• Translate complex data insights into clear, actionable recommendations that influence decision-making at all levels of the organization.
• Collaborate with engineering teams to productionize models and analytics pipelines with high reliability and performance.
• Familiar with state of art AI solutions in Data Science domain and mentor Jr. data scientists.
• Drive best practices in experimentation, measurement, and growth analytics across the company.

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

• Manages the end-to-end lifecycle of critical talent programs: performance management (goal setting, mid-year, and year-end) and employee engagement
• Analyzes and translates people and business data into actionable insights and recommendations that drive talent, performance, culture, and employee engagement strategies
• Consults with team members to execute various surveys, programs, and plans across the business to measure and enhance performance and impact
• Collaborates on driving the rollout of career frameworks, talent reviews, succession planning, and development planning
• Creates executive-level talent presentations that transform complex information into compelling narratives, using advanced PowerPoint design, visualization, and storytelling techniques to effectively communicate insights and recommendations
• Supports the broader HR team with a variety of ad hoc performance, talent management/ analytics-related projects and/or initiatives to support business growth and people-related objectives.

Manager, Talent & People Analytics

• Develop and execute the analytics strategy for the People Relations & Enablement function
• Define, measure, and monitor key metrics that support enterprise decision-making and risk mitigation
• Design and deliver executive dashboards, scorecards, and reports that provide actionable insights
• Analyze people-related data to identify trends, emerging issues, organizational hotspots, and systemic risks
• Translate complex data into compelling narratives and recommendations for senior leaders and stakeholders
• Provide insight-driven guidance that helps leaders understand root causes and make informed decisions
• Partner with Technology, Workforce Analytics, Compliance, and Legal teams to ensure data integrity, governance, and confidentiality
• Establish data definitions, reporting standards, and governance processes that promote consistency and transparency
• Support automation initiatives and real-time reporting capabilities that enhance operational effectiveness
• Measure the impact of investigations, training initiatives, policy implementation, and resolution strategies
• Identify opportunities for early intervention and prevention by leveraging analytics to reduce recurring issues
• Create feedback loops that inform policy development, training strategies, and continuous improvement efforts
• Advance a proactive, data-informed People Relations & Enablement operating model focused on organizational health and trust.

People Relations & Enablement Analytics, Reporting Manager

• Support Marketing Analytics initiatives
• Partner with Marketing stakeholders to evaluate campaign performance
• Analyze customer behavior, promotional effectiveness, and engagement trends
• Conduct objective, rigorous analytics to improve profitability and operational processes
• Distill vast datasets into actionable insights and recommendations
• Develop presentation materials for senior management
• Help train and on-board new team members in technical skills

Analyst II, Marketing Analytics

• Perform advanced financial analysis and reporting to support strategic decision-making
• Develop and maintain sophisticated financial models for cash forecasting, capital planning, treasury management
• Conduct benchmarking, KPI analysis, and variance reporting to identify trends, risks, and opportunities
• Oversee budgeting processes, cost accounting, and productivity standards; provide recommendations for process improvements
• Mentor accounting staff, provide financial systems training, and support professional development within the finance team
• Present complex financial information and recommendations to senior leadership

Senior Financial Analyst – Cash Accounting, Analytics

• Support Marketing Analytics initiatives, partnering with Marketing stakeholders to evaluate campaign performance
• Conduct objective, rigorous analytics to help the business improve profitability
• Distill vast datasets into actionable insights and recommendations that guide decisions and strategies
• Develop and support reporting for operating departments across the enterprise
• Use technology (e.g., SQL, R, Tableau, Google BigQuery, Python) to develop analytics and reporting tools
• Help to train and on-board new team members in technical skills, tools & processes

• Define and execute the enterprise Data, Analytics, AI, and Automation strategy
• Develop and maintain a multi-year roadmap for data modernization
• Advise executive leadership on emerging technologies, AI trends, opportunities, and risks
• Manage enterprise data platform architecture, including the Enterprise Data Warehouse, Azure Data Lake
• Establish enterprise data governance, data quality, and master data management capabilities
• Develop enterprise analytics capabilities that improve decision-making
• Drive adoption of intelligent automation and AI capabilities to improve productivity
• Build, lead, and develop a high-performing organization

Senior Director, Enterprise Data, Analytics, AI & Automation

• Build productive business relationships with Senior leaders in the organization; leverage these relationships to develop and refine requests for analyses and to identify business opportunities. Drive realization of these opportunities through analytics and creative solutions. Help junior analysts to prioritize analyses based on business/profit impact
• Conduct and oversee objective, rigorous analytics to help the business improve profitability, operational processes, and customer service with minimal guidance from management – e.g., identification and evaluation of revenue growth opportunities, resource optimization, optimal investment mix, competitive market dynamics, customer behavior, and pricing optimization. Ensure that analyses conducted by junior analysts are rigorous and accurate
• Distill vast datasets into actionable insights and recommendations that guide decisions and strategies. Develop presentation materials that synthesize analyses into a format ready for senior management consumption and assume a leadership role in communicating analysis findings clearly, concisely and compellingly to senior management, in both verbal and written formats. Assist junior analysts in structuring and executing their analytics and in developing presentation materials suitable for distribution to senior management clients
• Help to drive discussions with senior clients and the development, implementation and evaluation of strategic projects
• Design and deliver reporting for operating departments to provide senior leaders visibility into trends and business performance drivers, particularly using PowerBI, Tableau, and Microsoft Excel.
• Use technology (e.g., SQL, R, Tableau, Google BigQuery, Python) to develop analytics and reporting tools; lead integration of new technologies and tools into the department’s processes
• Work as a change agent to identify and execute improvements that drive material efficiencies in processes and reporting
• Lead and/or contribute to large-scale cross-Analytics team projects
• Drive training, on-boarding, and development of junior analysts in technical skills, tools & processes. Help them to develop their critical thinking skills, analytical techniques, and business acumen

Analytics Manager, Hospitality Analytics

• Perform data extraction, manipulation, and analysis
• Develop and maintain dashboards, reports, and visualizations
• Serve as a trusted advisor to operational and business leaders
• Monitor performance metrics, identify trends, and deliver meaningful insights across the organization

• Elicit, analyze data, and document business requirements for software development projects
• Work closely with stakeholders, end-users, project managers, and developers
• Help translate business objectives into technical solutions
• Support the software development lifecycle from inception to implementation
• Gather, analyze, and document functional and non-functional requirements
• Act as a liaison between stakeholders and technical teams
• Create and maintain SOWs, user stories, process flows, and training materials
• Support UAT, identify and resolve defects, and assist end-users during testing and go-live phases
• Assist with project planning, tracking, and change management

Senior Data Analyst

• Collect, analyze, and interpret data to support business operations.
• Develop and maintain reports and dashboards to track KPIs.
• Assist in the development of analytical models to solve business problems.
• Communicate data findings to stakeholders in a clear and concise manner.
• Collaborate with team members to identify and address business needs.
• Stay updated with the latest industry trends and best practices in data analytics.
• Document SOPs for internal and external teams.

• Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment.
• Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way.
• Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers.
• Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution.
• Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards.
• Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting.
• Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering.

Data Analyst jobs in Nevada

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Senior Healthcare Data Analyst

Analyst II, Digital Analytics – iCasino

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

Manager, Talent & People Analytics

People Relations & Enablement Analytics, Reporting Manager

Analyst II, Marketing Analytics

Senior Financial Analyst – Cash Accounting, Analytics

Analyst II, Marketing Analytics

Senior Director, Enterprise Data, Analytics, AI & Automation

Analytics Manager, Hospitality Analytics

Data Analyst

Senior Data Analyst

Data Analyst

Data Analyst