Fraud Data Analyst

About the Role

Key Responsibilities

• Develop and refine audit methodologies to prevent and mitigate retailer fraud effectively
• Utilize SQL for data extraction and reporting to bolster fraud detection and prevention efforts
• Conduct investigations into suspected retail fraud incidents, meticulously collecting evidence and producing comprehensive reports detailing findings and proposed recommended actions
• Perform data analysis within Excel/Sheets to discern trends, anomalies, and patterns indicative of fraudulent behavior
• Leverage Python and machine learning for the automation of reporting processes and enhancement of operational efficiency
• Collaborate with cross-functional teams to pinpoint areas for enhancement in fraud prevention processes, systems, and procedures, while also providing support for customer fraud cases and escalations
• Contribute to the development and implementation of fraud prevention strategies, policies, and procedures
• Maintain current knowledge of evolving fraud trends, methodologies, and technologies, proactively identifying new fraud threats and vulnerabilities
• Provide support and specialized knowledge to internal teams regarding fraud-related concerns, including data analysis and fraud investigation techniques

Requirements

• Bachelor's Degree in a relevant field such as data analytics, business analytics, business administration or data science is preferred
• At least 2 years of experience in a similar role, preferably in data analytics, business analytics, or fraud analytics, or equivalent combination of education and experience required
• Strong proficiency in Excel for data analysis and reporting
• Strong proficiency with SQL
• Experience with Python and machine learning is preferred
• Excellent analytical and problem-solving skills, with a keen eye for detail
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
• Ability to work independently and manage multiple priorities in a fast-paced environment
• Knowledge of fraud detection techniques and methodologies is desirable but not mandatory
• Relevant certifications (e.g., Certified Fraud Examiner) are a plus
• Willingness to participate in at least one in-person on-site interview

Nice to Have

• Experience with data visualization tools such as Tableau
• Knowledge of fraud detection techniques and methodologies
• Relevant certifications such as Certified Fraud Examiner

Qualifications

• Bachelor's Degree in a relevant field
• Master's Degree in a relevant field is a plus
• At least 2 years of experience in a similar role

Benefits & Perks

• Versatile health perks, including flexible spending accounts, HSA
• A 401(k) Plan with company match
• ESPP
• Career opportunities
• Flexible time away plan
• All benefits can be viewed at DISH Benefits