Fraud Operations Analyst - Data

Company Summary
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.
Department Summary
Our Retail Wireless team, serving our Boost Mobile and Gen Mobile brands, is redefining consumer expectations through new platforms, new business models and new ways of thinking. Equipped with a first-of-its-kind 5G network, a passion for change and the power to drive it, we'll emerge as the nation's fourth facilities-based wireless carrier and a disruptive force in the market at large.
Job Duties and Responsibilities
Key Responsibilities:

• Analyze large datasets using tools such as Excel, SQL, and data visualization software to identify suspicious patterns, anomalies, and trends indicative of device fraud
• Collaborate with cross-functional teams to develop, implement, and refine fraud prevention rules and algorithms based on data-driven insights and analysis
• Conduct ongoing monitoring and assessment of fraud prevention rules to evaluate their effectiveness and identify opportunities for improvement
• Develop and maintain reports to track key fraud metrics, monitor performance, and communicate findings to stakeholders
• Investigate suspected cases of device fraud, gather evidence, and prepare detailed reports documenting findings and recommended actions
• Stay up-to-date on emerging fraud trends, techniques, and technologies, and proactively identify new fraud threats and vulnerabilities
• Provide support and expertise to internal teams on fraud-related issues, including data analysis, rule optimization, and fraud investigation techniques

Skills, Experience and Requirements
Education and Experience:

• Bachelor's degree in statistics, mathematics, computer science, or a related field. Advanced degree preferred
• 2 years of experience in data analysis, preferably in a fraud detection or cybersecurity role

Skills and Qualifications:

• Proficiency in SQL for data querying and manipulation
• Strong analytical and problem-solving skills, with the ability to think critically and creatively to uncover fraud patterns and anomalies
• Experience with data visualization tools (e.g., Tableau, Power BI) preferred
• Knowledge of fraud detection techniques, algorithms, and methodologies
• Excellent communication and presentation skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders
• Detail-oriented with strong organizational skills and the ability to manage multiple priorities and deadlines
• Ability to work both independently and collaboratively in a fast-paced, team-oriented environment
• Relevant certifications (e.g., Certified Fraud Examiner, Certified Analytics Professional) a plus
• Experience with waterfall methodology to display reporting trends

Visa sponsorship not available for this role
Salary Ranges
Compensation: $63,150.00/Year - $90,000.00/Year
Benefits
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. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.