> Markdown version of [/jobs/ext/2303689-data-driven-analyst](https://www.wearedevelopers.com/jobs/ext/2303689-data-driven-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # data-driven analyst - **Company:** Prizepicks Llc - **Location:** Atlanta, GA, United States (Remote available) - **Experience:** Experienced - **Salary:** $100,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Microsoft Windows, Data Analysis, Macintosh Computers, Data Files, Data Visualization, Fraud Prevention and Detection, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), SQL Databases, Tableau (Software), Transaction Data, Scripting, Sql Optimization, Data Analytics - **Published:** August 30, 2026 - **Apply:** https://www.careerbuilder.com/job-details/business-analyst-ii-fraud-atlanta-ga--6c978c4c-1ee4-4a0d-8c63-61eb82358ef9 ## About the Role * 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 Technical Skills * Advanced SQL for extracting, manipulating, and analyzing data * Data visualization experience (e.g., Tableau) * Strong Excel skills * Python experience a plus (automation, modeling, or statistical analysis) Soft 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, 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., Analysis Skills, Apple Macs, Automation, Business Analysis, Communication Skills, Cross-Functional, Data Analysis, Data Sets, Data Visualization, Detail Oriented, Diversity, Finance, Internet Games, Mathematics, Microsoft Excel, Microsoft Windows Operating System, Organizational Skills, Performance Analysis, Performance Metrics, Performance Reviews, Problem Solving Skills, Product Programs, Python Programming/Scripting Language, Reporting Dashboards, Risk, Risk Analysis, SQL (Structured Query Language), Sports, Sports Reporting, Statistical Modeling, Statistics, Tableau, Team Player, User Interface/Experience (UI/UX), Vision Plan ## Description 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. What You'll Do: * 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) - [JavaScript? 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