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Q2

Business Analyst, Fraud Intelligence

Posted 2 Days Ago
Hybrid
4 Locations
Senior level
Hybrid
4 Locations
Senior level
The Business Analyst for Fraud Intelligence will analyze data and metrics to support product strategy, operational efficiency, and revenue growth in collaboration with cross-functional teams.
The summary above was generated by AI
As passionate about our people as we are about our mission.

Why Join Q2?

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology—and we do that by empowering our people to help create success for our customers.

What Makes Q2 Special?

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our “Circle of Awesomeness” award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.

What We’re All About

Q2 is proud of delivering our mobile banking platform and technology solutions, globally, to more than 22 million end users across our 1,300+ financial institution and fintech clients. At Q2, our mission is simple: Build strong, diverse communities by strengthening their financial institutions. We accomplish that by investing in the communities where both our customers and employees live and serve.

What Makes Q2 Special?

We’re as passionate about our people as we are about our mission. We celebrate achievements through programs like our “Circle of Awesomeness” awards, host an annual Dodgeball for Charity at Q2 Stadium, and invest in your growth via mentorship, internal mobility, and ongoing learning opportunities.

The Job At-A-Glance:

As a Business Analyst on our Fraudtech Pods, you’ll translate data into insights that drive product strategy, operational efficiency, and revenue growth. You’ll partner across Product, Engineering, Operations, and Customer Success to:

  • Define & Track Metrics: Build dashboards and reports on fraud trends, case resolution times, platform health, and ROI.

  • Perform Deep-Dive Analyses: Conduct root-cause, cohort, and A/B test investigations to surface risks and opportunities.

  • Drive Prioritization: Help the team prioritize features and investigations based on impact and ROI.

  • Enable Cross-Functional Initiatives: Support larger, strategic fraud engagements across multiple teams and partners.

  • Support Roadmap Execution: Ensure requirements are clear, acceptance criteria measurable, and delivery aligned to business goals.

  • Communicate Insights: Present findings and recommendations to stakeholders, tying analytics back to our investment case and customer objectives.

  • Leverage AI/LLMs: Utilize ChatGPT or similar large language models to automate reporting, generate hypotheses, and accelerate data exploration.

What People Say About You
  • You turn raw data into actionable intelligence, connecting analytics to customer pain points and revenue levers.

  • You’re fluent in SQL (or Python/R), Excel, and at least one BI tool (Tableau, PowerBI, or Looker).

  • You’re comfortable prompting and fine-tuning LLMs (e.g., ChatGPT) to draft analyses, summarize findings, and automate routine tasks.

  • You excel at clear documentation—requirements specs, user stories, and executive summaries.

  • You thrive in cross-functional settings, earning trust from Product, Engineering, Support, and Sales teams.

  • You have a strong business mindset—able to quantify impact, build a business case, and measure outcomes against OKRs.

Bring Your Passion, Do What You Love. Here’s What We’re Looking For:

  • Bachelor’s degree in Business, Finance, Economics, Data Science, or related field; or equivalent experience.

  • 5+ years of Business Analyst or Data Analyst experience, preferably in SaaS, digital banking, or fraud domains.

  • Proven track record partnering with product and engineering teams to deliver data-driven insights.

  • Strong technical skills in SQL and Excel, plus experience with BI tools such as Tableau, PowerBI, or Looker.

  • Demonstrated fluency with AI/LLMs (e.g., ChatGPT) for analysis and reporting.

  • Excellent written and verbal communication in English; able to tailor messages for technical and non-technical audiences.

  • Authorized to work in the U.S. without sponsorship.

This position requires fluent written and oral communication in English.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Health & Wellness

  • Hybrid Work Opportunities

  • Flexible Time Off 

  • Career Development & Mentoring Programs 

  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents 

  • Community Volunteering & Company Philanthropy Programs 

  • Employee Peer Recognition Programs – “You Earned it”

Click here to find out more about the benefits we offer.

Our Culture & Commitment:

We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact—in the industry and in the community.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.


Applicants in California or Washington State may not be exempt from federal and state overtime requirements

Top Skills

AI
Chatgpt
Excel
Looker
Power BI
Python
R
SQL
Tableau

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