Data Analyst
Overview
As a Data Analyst in Q2's Fraud Intelligence team, you will develop deep insights into customer fraud challenges and collaborate with Product, Engineering, and Fraud Response to close gaps in our fraud products. You will track trends in fraud cases and influence prioritization of product enhancements, then work with internal tooling and engineering to implement protections. The role sits at the intersection of customers, business, and product development, offering impact across detection, tooling, and customer value. This is a chance to shape fraud prevention at scale within a mission-driven fintech environment.
Compensation / BenefitsHybrid Work OpportunitiesFlexible Time OffCareer Development & Mentoring ProgramsHealth & Wellness Benefits, including competitive health insuranceCommunity Volunteering & Company Philanthropy ProgramsEmployee Peer Recognition Programs – “You Earned it”
ResponsibilitiesTrack trends in fraud cases and translate findings into product enhancement prioritiesIdentify and close gaps in fraud products in collaboration with Product, Engineering, and Fraud ResponsePartner with internal tooling and engineering teams to build protections for customersWork across stakeholders to understand customer needs and measure impact on product quality and customer valueContribute to cross-functional efforts at the intersection of customers, business, and product development
Key requirements5+ years of experience as an analyst (or similar)Experience using AI tools in workStatistical background with ability to draw sound conclusions from complex dataFamiliarity with data visualization toolsAbility to effectively communicate findings to both technical and non-technical audiencesBonus: Python, SQL or other programming languagesBonus: experience communicating with customersBonus: familiarity with the financial industry, banking, and fraud prevention productsautonomy and ownershipquick execution with big-picture thinkingempathy for end usersAI toolsdata visualization toolsstatistical analysis