Fraud Operations Data Analyst

$63,150 - $90,000/Yr

Dish - Englewood, CO

posted 3 months ago

Full-time - Mid Level
Englewood, CO
Broadcasting and Content Providers

About the position

We are seeking a detail-oriented and analytical Business Operations Analyst II to join our dedicated team at DISH, an EchoStar Company. In this role, you will play a crucial part in supporting our retail fraud prevention efforts. Your primary responsibilities will include utilizing SQL to generate reports, conducting investigations with analytical tools, and enhancing our current fraud detection strategies through comprehensive data analysis. This position is integral to ensuring a seamless experience for millions of customers across all our brands while efficiently addressing any billing concerns. As a Business Operations Analyst II, you will create and improve audits designed to effectively prevent retailer fraud. You will be responsible for pulling in reporting using SQL to support fraud detection and prevention initiatives, as well as automating reporting processes using Python. Your investigative skills will be put to the test as you conduct thorough investigations into suspected cases of retail fraud, gathering evidence and preparing detailed reports that document your findings and recommended actions. In addition to your investigative duties, you will analyze data using Excel or Sheets to identify trends, anomalies, and patterns that may indicate fraudulent activity. Collaboration with cross-functional teams will be essential as you work to identify areas for improvement in fraud prevention processes, systems, and procedures. You will also assist in the development and implementation of fraud prevention strategies, policies, and procedures, while staying informed about emerging fraud trends, techniques, and technologies. Your expertise will provide valuable support to internal teams on fraud-related issues, including data analysis and investigation techniques.

Responsibilities

  • Create and improve audits to effectively prevent retailer fraud
  • Pull in reporting using SQL to support fraud detection and prevention
  • Automate reporting using Python
  • Conduct investigations into suspected cases of retail fraud, gather evidence, and prepare detailed reports documenting findings and recommended actions
  • Analyze data using Excel / Sheets to identify trends, anomalies, and patterns indicative of fraudulent activity
  • Collaborate with cross-functional teams to identify areas for improvement in fraud prevention processes, systems, and procedures
  • Assist in the development and implementation of fraud prevention strategies, policies, and procedures
  • Stay informed about emerging fraud trends, techniques, technologies, and proactively identify new fraud threats and vulnerabilities
  • Provide support and expertise to internal teams on fraud-related issues, including data analysis and fraud investigation techniques

Requirements

  • Bachelor's or Master's Degree in a relevant field such as data analytics, business analytics, business administration or computer science preferred
  • 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
  • Strong proficiency in Excel for data analysis and reporting
  • Strong proficiency with SQL
  • Experience with Python is 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

Nice-to-haves

  • Experience with data visualization tools such as Tableau is a plus, but not required

Benefits

  • Versatile health perks including flexible spending accounts
  • Health Savings Account (HSA)
  • 401(k) Plan with company match
  • Employee Stock Purchase Plan (ESPP)
  • Career opportunities
  • Flexible time away plan
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