Our adventure began by changing the way people watched TV, bringing DISH to where big cable wouldn’t: rural America. Since then, we have reinvented ourselves and our own industry with Sling TV to give millions of consumers more choice in entertainment. Today, we’ve officially entered the consumer wireless industry as the fourth largest wireless provider with our acquisitions of Boost Mobile, Ting Mobile, Republic Wireless and Gen Mobile — but that’s just the start. We’re building America’s first cloud-native 5G network to transform the way we live, work and play with unlimited possibilities.

Department Summary

Our investment in the future needs those with an eye on the bottom line. Our Billing & Credit teams work behind the scenes, dedicated to ensuring a seamless experience for millions of customers across all our brands while efficiently addressing any billing concerns.

Job Duties And Responsibilities

We are seeking a detail-oriented and analytical Business Operations Analyst II to join our dedicated team. In this role, you will play a crucial role in supporting the retail fraud prevention efforts by using SQL to pull in reporting, conduct investigations using analytical tools, and improve current fraud detection strategies through data analysis.

Key Responsibilities

• Create and improve audits to effectively prevent retailer fraud
• Pull in reporting using SQL to support fraud detection and prevention
• Automate reporting using Python
• Conduct investigations into suspected cases of retail fraud, gather evidence, and prepare detailed reports documenting findings and recommended actions
• Analyze data using Excel / Sheets to identify trends, anomalies, and patterns indicative of fraudulent activity
• Collaborate with cross-functional teams to identify areas for improvement in fraud prevention processes, systems, and procedures as well as support them in customer fraud cases and escalations
• Assist in the development and implementation of fraud prevention strategies, policies, and procedures
• Stay informed about emerging fraud trends, techniques, technologies, and proactively identify new fraud threats as well as vulnerabilities
• Provide support and expertise to internal teams on fraud-related issues, including data analysis and fraud investigation techniques

Skills, Experience And Requirements

Education and Experience:

• Bachelor's or Master's Degree in a relevant field such as data analytics, business analytics, business administration or computer science 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

Skills And Qualifications

• Strong proficiency in Excel for data analysis and reporting
• Strong proficiency with SQL
• Experience with Python is required
• 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