
Data Analyst, Fraud
Own data analysis and visualization as it relates to all areas of Fraud; chargebacks, appeasement/promo/earnings abuse, un-captured charges, account takeovers, etc, as well as the identification of potential root causes of potential change(s) in metrics. Regularly communicate associated outcomes and insights to various partners, including senior management to guide strategic decisions for improvement. Develop dashboards, analytical frameworks, and detailed reporting models that provide reliable, easily-digestible insights to key collaborators to help guide decisions around process, policy, systems, and service models. Develop a deep understanding of how each area of the business impacts the other, as well as the underlying correlations relating to key company metrics. Build automated reporting to ensure operations leaders are advised of variations and opportunities across geographies and teams.
Minimum 5-7 years in analytics, business intelligence/operations, investment banking, or related environment
Strategic demeanor –able to think ahead of where the company is at now
Experience in e-commerce, CNP payments, finance, SaaS, digital goods or marketplace industry.
Experience in Fraud or Transaction Risk field
Experience working with payment processing, authentication, anti-fraud systems and tools or vendors
Python
Data Modeling
R
Hive
Presto
Shiny
Julia
Snowflake
Time Management Skills
Data extraction and manipulation
ETL and data pipeline development
Process Improvement
Driven and self-motivated
Prioritizing skills
Problem-Solving
Detail Oriented and Organized
Verbal and Written Communication
Multi tasker
According to JobzMall, the average salary range for a Data Analyst, Fraud in Ponce City Market N NE, Atlanta, GA 30308, USA is between $42,000 and $71,000 per year. Salaries may vary depending on experience, qualifications, and other factors.
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