Trading Data Analyst (Las Vegas)

Caesars Entertainment-posted 3 months ago
Las Vegas, NV
5,001-10,000 employees
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Caesars Digital represents online businesses spanning casino, poker, and sports betting across a variety of brands. The Trading Data Analyst will partner with stakeholders within the Trading organization to drive margin, analyze market performance, identify industry trends, segment customers, perform ad-hoc analysis, and create standardized reporting in support of the operations. The ideal candidate will help identify opportunities to grow these business units and work with clients to implement findings and best practices across the Caesars Digital Group.

  • Conduct objective, rigorous analytics to help the business improve profitability, operational processes, and offering with minimal guidance from management.
  • Prepare standardized reporting on various operations to provide senior leaders visibility into performance trends.
  • Conduct ad-hoc analyses including competition, event market performance, competitive intelligence, financial modeling, forecasting & statistical analysis, database development, budgeting, etc.
  • Synthesize large amounts of data into actionable recommendations and presentations for management review.
  • Collaborate with fellow analysts to refine assumptions, ensure accuracy of results, and create holistic view of performance.
  • Communicate analyses, findings, conclusions, and recommendations to all relevant business partners, and actively assist in the implementation of accepted recommendations.
  • Source interesting data (query 1st party data, purchase licensed data and/or scrape public sources).
  • Engineer features through creative variable transformation techniques.
  • Assist in model product development with detailed documentation for operational execution.
  • Participate actively in discussions with senior clients, and assist in driving the development, implementation, and evaluation of strategic projects from within all segments of the Trading organization.
  • Use technology (e.g., SQL, R, Tableau, Google BigQuery, Python) to develop analytics and reporting tools.
  • Propose and implement improvements that drive material efficiencies in processes and reporting.
  • Lead projects that require input from other Analytics team members; contribute to cross-Analytics team projects.
  • Collaborate with domain experts to identify model enhancement opportunities and stress test models.
  • Collaborate with data science teams to identify model enhancement opportunities.
  • Research latest technologies and keep up with industry best practices in trading and sports betting offerings.
  • Bachelor’s Degree from a top-tier program in Business, Finance, Economics, Engineering, Mathematics/Statistics, Computer Science or equivalent technical field.
  • Strong analytical skills including data aggregation/manipulation, financial modeling, statistical analytics, forecasting, optimization, etc.
  • Experience working with large datasets; proficiency with Microsoft Office suite and proven experience manipulating data, developing insights, and communicating findings.
  • Strong communication skills, including capacity to distill complex ideas and analyses into clear and tangible recommendations that drive decision making.
  • Intellectual curiosity and willingness to quickly learn relevant database applications and software, as well as industry-specific terminology and dynamics.
  • Ability to manage numerous projects simultaneously at various stages of development.
  • Contribute to a culture dedicated to telling the truth through data, demonstrating the highest level of integrity in all situations.
  • Must possess very strong interpersonal, communication and consensus building skills; willing to work on developing and managing key relationships across the organization.
  • Must be able to work in a deadline-oriented environment, ensuring decisions and management communication is occurring in a timely fashion across all geographical areas of operations.
  • Ability to quickly understand business problems and how they may be solved.
  • Graduate Degree in Business, Economics, Mathematics/Statistics, Hotel Management or equivalent technical field.
  • Proficiency in one or more of the following programming languages: SQL, R, VBA, SAS, Python.
  • Experience with web-based data visualization tools, such as Tableau, Looker, or Power BI.
  • Prior experience in the gaming/hospitality/sports betting industry.
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