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 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.

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.

NOTE : Visa sponsorship not available for this role now or in the future.

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
  

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

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.

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