Senior Data Analyst

Logistics: • On-site in New York City or Las Vegas preferred, open to remote candidates • Perm, direct hire • Open to senior level and manager level Required Skills & Experience • Advanced SQL skills for querying and integrating data from multiple sources • Strong Python experience (pandas, NumPy, PySpark; able to build models and automate analysis) • Advanced Excel skills • Experience building reports and dashboards from direct data sources (not just using canned reports) • Ability to work with both on-prem servers and cloud/datalakehouse environments • Proven track record connecting siloed data across business units (Finance, Marketing, F&B, Hotel, Gaming) • Strong business acumen with ability to translate analysis into actionable recommendations • Experience with BI/visualization tools (Power BI, Tableau, Looker, Mode) • Prior work in gaming, hospitality, or regulated environments Nice to Have Skills & Experience • Prior work in gaming, hospitality, or regulated environments • Experience with predictive modeling, advanced forecasting, or machine learning • Experience mentoring junior analysts or contributing to documentation/legacy info Job Description Work closely with a cross-functional analytics team to unify and analyze data from disparate systems, beginning with a focus on labor and F&B analytics while expanding coverage across all business units. Build and maintain dashboards, models, and reports using SQL, Python, and Excel. Integrate data from on-prem and cloud sources, drive reporting for business decision-making, and collaborate with stakeholders to scope problems and deliver actionable insights. Support change management, contribute to documentation, and help junior analysts as needed. Compensation: $90,000-$140,000 per year annual salary. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.