EchoStar is seeking to prevent and mitigate retailer fraud effectively across all its brands, including Boost Mobile, DISH TV, Gen Mobile, Hughes, and Sling TV, by ensuring a seamless experience for millions of customers while efficiently addressing any billing concerns.
Requirements
- Strong proficiency in Excel for data analysis and reporting
- Strong proficiency with SQL
- Strong proficiency with Python
- Experience with machine learning is preferred
- Experience with data visualization tools such as Tableau and Looker is a plus, but not required
- Knowledge of fraud detection techniques and methodologies is desirable but not mandatory
- Relevant certifications (e.g., Certified Fraud Examiner) are a plus
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
Other
- 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
- 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
