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EchoStar

Fraud Analytics Manager

Posted 2 Days Ago
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Englewood, CO
84K-120K Annually
Mid level
Englewood, CO
84K-120K Annually
Mid level
The Fraud Analytics Manager develops fraud detection models, analyzes data for patterns, leads a team, and collaborates across departments to optimize fraud prevention strategies.
The summary above was generated by AI

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 are the nation's fourth facilities-based wireless carrier and a new disruptive force in the market.
Job Duties and Responsibilities
Key Responsibilities:

  • Develop, implement, and optimize fraud detection models, analytics tools, and reporting. Measure and report project or rule change impacts to KPIs
  • Translate complex data into clear, actionable insights for stakeholders at all levels of the organization
  • Stay up-to-date on emerging fraud trends, techniques, customer behaviors, and technologies, and proactively identify new fraud threats and vulnerabilities
  • Utilize machine learning and data visualization tools to analyze large datasets and uncover fraud patterns
  • Collaborate with cross-functional teams to develop, implement, and refine fraud prevention rules and algorithms based on data-driven insights and analysis. Provide support and expertise to internal teams on any fraud-related issues
  • Build, mentor, and lead a high-performing team of data analysts and experienced professionals
  • Foster a culture of continuous learning and innovation within the team
  • Manage the team's workload, priorities, and professional development


Skills, Experience and Requirements
Education and Experience:

  • Bachelor's degree in Statistics, Mathematics, Computer science, or a related field. Combination with an MBA preferred
  • 4 years of experience in data analysis, preferably in a fraud detection, wireless, or cybersecurity role
  • 2 years experience in a managerial role


Skills and Qualifications:

  • Strong analytical and problem-solving skills, with the ability to think critically and creatively to uncover fraud patterns and anomalies
  • 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
  • Demonstrated ability to lead and inspire teams
  • Highly skilled in SQL for data querying and manipulation
  • Experience with data visualization tools (e.g., Tableau, Power BI)
  • Knowledge of fraud detection techniques, algorithms, and methodologies


Visa sponsorship not available for this role
Salary Ranges
Compensation: $83,950.00/Year - $119,900.00/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.

Top Skills

Machine Learning
Power BI
SQL
Tableau

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