Fraud Data Analyst
US-CO-Englewood
Attract-careers1
Req #: 93232
Type: Fulltime-Regular
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Overview: Our investment in the future needs those with an eye on the bottom line. Our Billing & Credit team works behind the scenes, dedicated to ensuring a seamless experience for millions of customers across all our brands while efficiently addressing any billing concerns. Responsibilities: We are seeking a meticulous and analytical Fraud Data Analyst to join our dedicated Retail Wireless team. In this role, you will be instrumental in supporting retail fraud prevention efforts by utilizing SQL for reporting, conducting investigations with analytical tools, and enhancing current fraud detection strategies through comprehensive data analysis. While proficiency in Excel/Google Sheets and SQL is required, experience with Python and data visualization tools is highly preferred. Experience with machine learning is a plus. 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 Qualifications: Education and Experience: * Bachelor's Degree in a relevant field such as data analytics, business analytics, business administration or data science is preferred * Master's Degree in a relevant field such as data analytics, business analytics, business administration or data science is a plus * 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 Skills and Qualifications: * Strong proficiency in Excel for data analysis and reporting * Strong proficiency with SQL * Experience with Python and machine learning is preferred * Experience with data visualization tools such as Tableau is a plus, but not required * 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 * The ability to think critically and logically, drawing valid conclusions based on compelling facts, evidence, and present findings to business stakeholders Visa sponsorship not available for this role Candidates must be willing to participate in at least one in-person on-site interview.
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