PrizePicks
Game Operations Analyst - Trading Optimization
Atlanta, GA preferred, Remote · Full-time
No sponsorship$80k-$85kDetected 1 day ago
PythonReactAlgorithmsSQLStatisticsAccountingPerformance ManagementCommunicationTime Management
About the role
- Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom.
- PrizePicks is looking for a detail oriented, proactive, statistically-minded individual who excels in a fast-paced environment to enhance our customer segmentation and player profiling initiatives.
Responsibilities
- Run analyses on our current ruleset structure, and provide actionable recommendations that will optimize member experience and revenue
- Partner with Analytics to develop more optimal trading methods and tools (models, algorithms, rounding, industry benchmarking, etc.)
- Collaborate with and communicate learnings to Game Operations Analysts
Requirements
- You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Nice to have
- Excellent attention to detail, verbal and written communication skills
- Superb time management, reliability, and ability to meet highly important deadlines
- Extremely hard working and passionate about a career in the daily fantasy sports industry
- Extensive knowledge and experience in the sports gaming, player prop and, daily fantasy sports industries
- Strong pattern recognition and ability to react quickly to observed trends
- Ability to analyze several streams of information concurrently and make thoughtful decisions in a highly time-sensitive environment
- Availability to work on nights & weekends (coinciding with sports schedule)
- Ability to learn new or updated software
Skills
- Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education.
Compensation
- The typical salary range for this position is $80,000 to $85,000.
- At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges.
- The compensation info you see on our job postings gives you an idea of the starting pay range for the position.
- Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education.
- Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
- Annual performance reviews with opportunities for growth and career development
Benefits
- Company-subsidized medical, dental, & vision plans
- Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
- Generous paid leave programs, including 16-week paid parental leave and disability benefits
- All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Company info
- At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc.
- As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike.
- Ready to reimagine the DFS industry together?
- This position will report to the Manager of Trading Optimization and play a vital role in optimizing the way that the Game Operations team manages the different types of members who play our game.
- While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
- What makes you stand out:
Equal opportunity
- Equal Opportunity Employer.
Visa & Work Authorization
- You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
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This listing is sourced directly from PrizePicks's careers page and normalized into a canonical job model.