Business Analyst II

PrizePicks•Atlanta, GA

1d•Remote

About The Position

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. 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. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? We're looking for a data-driven analyst to join our Fraud Analytics team. In this role, you'll partner cross-functionally with Fraud Operations, Product, and Analytics to turn data into action. You’ll surface fraud trends, size risk, and help shape the strategy that protects our players and our platform, while keeping the experience frictionless for the vast majority of legitimate users. You're a great fit if you're comfortable digging into messy, high-volume transactional data, enjoy translating findings into clear recommendations, and want your analysis to directly influence how PrizePicks fights fraud.

Requirements

Bachelor's degree or equivalent experience in Statistics, Finance, Mathematics, Analytics, or a related field
2+ years of experience in risk analytics, fraud detection, or a related data-focused field, preferably within online gaming, Daily Fantasy Sports, or fintech
Working understanding of common fraud vectors in an online transactional environment (payment fraud, identity fraud, bonus abuse, etc.) and how fraud controls can impact legitimate user experience
Advanced SQL for extracting, manipulating, and analyzing data
Data visualization experience (e.g., Tableau)
Strong Excel skills
Excellent communication skills, with the ability to explain complex concepts to non-technical audiences
Detail-oriented with a high standard for accuracy in data analysis and reporting
Judgment to balance fraud risk against player experience — knows that over-blocking good players is its own kind of cost
Organized, reliable, curious, and growth-oriented team player
Demonstrated ability with data-driven critical thinking, problem-solving, and recommendations
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 Haves

Python experience a plus (automation, modeling, or statistical analysis)

Responsibilities

Deliver analytical work that actually moves the needle — protecting the platform while making the experience better for good players.
Build, document, and maintain easy-to-use, insightful dashboards and reusable analyses that monitor fraud performance and key risk indicators.
Distill complex datasets into recommendations with clear visualizations and concise talking points for non-technical stakeholders.
Partner with Engineering, Fraud Ops and Product to identify and close data, performance, and process gaps.
Conduct deep-dive analyses to support fraud-related business decisions with data-driven insights and recommendations.
Scope and complete ad-hoc data requests around fraud trends and product initiatives.

Benefits

Company-subsidized medical, dental, & vision plans
401(k) plan with company match
Annual bonus
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
Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
Company-wide in-person events and team outings
Lifestyle enhancement program
Company equipment provided (Windows & Mac options)
Annual performance reviews with opportunities for growth and career development