Why you’ll love this role

StockX is seeking a motivated, dedicated, and focused Fraud Intelligence Data Analyst to help facilitate a growing culture of safety, trust and security for the global StockX marketplace.  The Data Analyst will be responsible for investigating, organizing and analyzing data from various sources to transform data into meaningful insights that influence decision making. The Data Analyst will use a range of tools and methodologies to generate results which highlight insights and expose opportunities for improvement. Individuals must have high-level communication skills and an understanding for how their analyses will impact the business.

What you’ll do

• Drive analytical decision making on a wide range of initiatives including account security, marketplace anomalies, fraudulent activity, and chargebacks
• Analyze data with standard statistical methods, interpret results and summarize results
• Effectively communicate results to teammates and business partners
• Collaborate with key cross functional teams, leaders and stakeholders to create holistic analytical solutions. 
• Create, enhance and maintain data dashboards  
• Conduct forensics analysis over large historical datasets to determine fraud root causes and impact
• Provide relevant analysis to help senior leaders make data driven decisions
• Stay up to date on all current and changing initiatives in the chargeback/fraud industry.
• Work closely with management to share findings and assist in identifying current fraud trends & root causes, identify fraud risk gaps, and collaborate with senior analysts on recommendations
• Maintain clean and detailed record keeping of fraud health and trends at StockX

About you

• Experience providing solutions and exposing possible areas of opportunity
• Completed end-to-end data analysis projects
• 1-3 years of applied experience in performing data analysis
• Required experience using SQL(MySQL, DataBricks, RedShift, DataDog) to create data sets
• Basic statistical knowledge and usage to drive business decisions
• Demonstrated experience with data visualization (Tableau, PowerBI etc.)
• Strong interpersonal, verbal and written communication skills with the ability to effectively interact and build trusted relationships across different departments and all levels of management.
• Must be results oriented with the ability to work independently as well as in a team environment.
• Strong analytical and problem-solving skills with the ability to effectively resolve complex situations and issues.
• Detail-oriented with strong organizational skills with the ability to manage or lead multiple projects effectively
• Preferred Bachelor’s Degree in relevant STEM field (Engineering, Economics, Mathematics, Applied Statistics, Computer Science, Finance) or equivalent experience

Nice to have skills

• 2+ years of experience in risk, cybersecurity, fraud detection, or anti-money laundering
• Experience in ecommerce or retail industries

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

Pursuant to the various pay transparency laws/acts, the base salary range is $80,000 to $100,000 plus opportunities for benefits (e.g., medical, dental), equity and discretionary bonuses. Compensation is dependent on geography and may vary.