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Sr Fraud Data Analyst

Remote / Online - Candidates ideally in
Coos Bay, Coos County, Oregon, 97458, USA
Listing for: HealthEquity
Remote/Work from Home position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
  • Finance & Banking
Salary/Wage Range or Industry Benchmark: 91500 USD Yearly USD 91500.00 YEAR
Job Description & How to Apply Below

Employer Industry

Healthcare Financial Services

Why consider this job opportunity:
  • Salary up to $91,500.00 per year
  • Eligible for performance-based incentives as part of the total compensation package
  • Comprehensive benefits including medical, dental, vision, and uncapped paid time off
  • Opportunities for ongoing education and tuition assistance
  • Remote work flexibility
  • Supportive work culture that values individual contributions and career growth
What to Expect (Job Responsibilities):
  • Lead the development, implementation, and optimization of fraud detection strategies using advanced analytics
  • Perform data mining and statistical analysis on large, complex datasets to uncover hidden fraud patterns and anomalies
  • Design and optimize SQL queries for fraud detection workflows, ensuring efficient data retrieval and processing
  • Collaborate with risk, technology, product, and compliance teams to integrate fraud strategies across all areas of the business
  • Mentor and coach junior analysts, fostering technical growth and continuous learning
What is Required (Qualifications):
  • Bachelor’s degree in finance, economics, data analytics, computer science, or a related field (Master’s degree preferred)
  • 5+ years of experience in fraud risk management, fraud detection, or financial crime strategy
  • Advanced proficiency in SQL for complex querying, data manipulation, and performance optimization
  • Strong programming skills in Python or R for data analysis and machine learning
  • Excellent communication and presentation skills for both technical and non‑technical audiences
How to Stand Out (Preferred Qualifications):
  • CFE certification preferred
  • Familiarity with fraud detection technologies, including rule‑based systems, machine learning, and AI‑driven solutions
  • Experience with big data platforms (e.g., Hadoop, Spark) and cloud‑based analytics environments
  • Knowledge of financial services industry regulations and best practices for fraud management
  • Technical certifications (e.g., SQL, Certified Analytics Professional) are a plus

#Healthcare Financial Services  #Fraud Detection #Data Analytics #Remote Work #Career Growth #Benefits

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