Data Analyst

Q2 SoftwareCary, TX
Hybrid

About The Position

As a Data Analyst on the Fraud Intelligence team, you will develop a deep understanding of our customers and the fraud challenges they face. Working closely with Product, Engineering, and Fraud Response partners, you will identify and help close gaps in our fraud products. This is a dynamic role, sitting at the cross-section of our customers, the business, and product development. You’ll be responsible for tracking trends in our fraud cases and advising prioritization in product enhancements. Then, you’ll take the next step and work with our internal tooling and engineering teams to build the needed protection for our customers.

Requirements

  • 5+ years of experience as an analyst (or similar)
  • Experience using AI tools in your work
  • Statistical background and ability to draw sound conclusions from complex data
  • Familiarity with data visualization tools
  • Demonstrated ability to effectively communicate findings with technical and non-technical audiences
  • Fluent written and oral communication in English.
  • Authorized to work for any employer in the U.S.

Nice To Haves

  • Experience with python, SQL, or other programming languages
  • Experience communicating with customers
  • Familiarity with the financial industry, banking, and fraud prevention products

Responsibilities

  • Develop a deep understanding of our customers and the fraud challenges they face.
  • Identify and help close gaps in our fraud products.
  • Track trends in our fraud cases.
  • Advise prioritization in product enhancements.
  • Work with internal tooling and engineering teams to build needed protection for our customers.

Benefits

  • Hybrid Work Opportunities
  • Flexible Time Off
  • Career Development & Mentoring Programs
  • Health & Wellness Benefits, including competitive health insurance offerings
  • Generous paid parental leave for eligible new parents
  • Community Volunteering & Company Philanthropy Programs
  • Employee Peer Recognition Programs – “You Earned it”
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