Fraud Data Analyst

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 investment in the future needs those with an eye on the bottom line. Our Billing & Credit team works behind the scenes, dedicated to ensuring a seamless experience for millions of customers across all our brands while efficiently addressing any billing concerns.

Job Duties And Responsibilities

We are seeking a meticulous and analytical Fraud Data Analyst to join our dedicated Retail Wireless team. In this role, you will be instrumental in supporting retail fraud prevention efforts by utilizing SQL for reporting, conducting investigations with analytical tools, and enhancing current fraud detection strategies through comprehensive data analysis. While proficiency in Excel/Google Sheets and SQL is required, experience with Python and data visualization tools is highly preferred. Experience with machine learning is a plus.

Key Responsibilities

• Develop and refine audit methodologies to prevent and mitigate retailer fraud effectively
• Utilize SQL for data extraction and reporting to bolster fraud detection and prevention efforts
• Conduct investigations into suspected retail fraud incidents, meticulously collecting evidence and producing comprehensive reports detailing findings and proposed recommended actions
• Perform data analysis within Excel/Sheets to discern trends, anomalies, and patterns indicative of fraudulent behavior
• Leverage Python and machine learning for the automation of reporting processes and enhancement of operational efficiency
• Collaborate with cross-functional teams to pinpoint areas for enhancement in fraud prevention processes, systems, and procedures, while also providing support for customer fraud cases and escalations
• Contribute to the development and implementation of fraud prevention strategies, policies, and procedures
• Maintain current knowledge of evolving fraud trends, methodologies, and technologies, proactively identifying new fraud threats and vulnerabilities
• Provide support and specialized knowledge to internal teams regarding fraud-related concerns, including data analysis and fraud investigation techniques
  
  

Skills, Experience And Requirements

Education and Experience:

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

Candidates must be willing to participate in at least one in-person on-site interview.

Salary Ranges

Compensation: $63,150.00/Year - $82,000.00/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.