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Fraud Data Analyst

Fraud Data Analyst

DishEnglewood, CO, United States
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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 passion for change and the power to drive it, we continue to push boundaries and be a disruptive force in the market.

Job Duties and Responsibilities

We are seeking a meticulous and analytical Fraud Data Analyst to join our dynamic Retail Wireless team. As a key member of the Device Fraud Team, you will play a critical role in preventing, detecting, and mitigating device fraud through advanced data analysis and investigation. You will utilize your expertise in data analytics including Python, Machine Learning, SQL, Tableau, Excel, and problem-solving to uncover fraud patterns, assess the effectiveness of fraud prevention rules, and provide insights to enhance our fraud prevention strategies.

Key Responsibilities :

  • Leverage Python and Machine Learning for the automation of reporting processes and enhancement of operational efficiency
  • Utilize SQL for data extraction and reporting to bolster fraud detection and prevention efforts.
  • Creation of Tableau dashboards to identify suspicious patterns, anomalies, and trends indicative of device fraud
  • Perform data analysis on large datasets within Excel / Sheets to discern trends, anomalies, and patterns indicative of fraudulent behavior.
  • Develop and maintain reports to track key fraud metrics, monitor performance, and communicate findings to stakeholders
  • Stay up-to-date on emerging fraud trends, techniques, and technologies, and proactively identify new fraud threats and vulnerabilities
  • 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 fraud-related issues, including data analysis, rule optimization, and fraud investigation techniques

Skills, Experience and Requirements

Education and Experience :

  • Bachelor's degree in data analytics, data science, statistics, computer science, or a related field; advanced degree preferred
  • At least 2-3+ years of experience in a similar role, preferably in data analytics, business analytics, fraud analytics, or data science
  • At least 1+ year(s) of experience conducting Machine Learning
  • Skills and Qualifications :

  • Strong proficiency in Python is required
  • Experience with Machine Learning tools is required
  • Proficiency in SQL for data querying and manipulation
  • Experience with data visualization tools (e.g., Tableau, Power BI)
  • Proficiency in Excel for data analysis and reporting.
  • Strong analytical and problem-solving skills, with the ability to think critically and creatively to uncover fraud patterns and anomalies
  • 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.

    We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school / graduation from your application documents before submission and throughout our application process.

    EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

    Click the links to access the following statements : EEO Policy Statement , Pay Transparency , EEOC Know Your Rights ( English / Spanish )

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