Job Description

Job Description

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

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.

We are seeking a detail-oriented and analytical Business Operations Analyst II to join our dedicated Retail Wireless team. In this role, you will play a crucial role in supporting the retail fraud prevention efforts by using SQL to pull in reporting, conducting investigations using analytical tools, and improving current fraud detection strategies through data analysis. While strong Excel/Google Sheets and SQL skills are required, experience with Python and data visualization tools are highly preferred. Experience with machine learning is a plus.

Key Responsibilities:

• Create and improve audits to effectively prevent retailer fraud
• Pull in reporting using SQL to support fraud detection and prevention
• 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
• Use Python and machine learning to help automate reporting and improve efficiency
• 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 and vulnerabilities
• Provide support and expertise to internal teams on fraud-related issues, including data analysis and fraud investigation techniques

Education and Experience:

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

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

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities and a flexible time away plan; all benefits can be viewed here: DISH Benefits .

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.

This will be posted for a minimum of 3 days or until the position is filled.

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