Business Analyst, Payments and Fraud

Posted 4 Days Ago
Hiring Remotely in Pasadena, CA, USA
In-Office or Remote
Junior
Big Data • Consumer Web • eCommerce • Enterprise Web • Software • Analytics • Big Data Analytics
Join our mission to make the world more transparent with data.
The Role
Analyze payments and fraud performance using SQL, dashboards, KPIs, and trend analysis. Support fraud decisioning, evaluate rules and alerts, investigate payment declines, identify revenue and cost-saving opportunities, and recommend strategies to improve authorization rates, fraud detection, and operational performance. Communicate actionable insights and root-cause analysis to business leaders and cross-functional teams.
Summary Generated by Built In

About Spokeo:

Join our mission to make the world more transparent with data.

Spokeo is a people search engine that helps over 18 million monthly visitors reconnect with friends, reunite with families, and protect against fraud. Additionally, our 12 billion records and over 250 million unique profiles help business professionals locate people and assets, research criminal investigation subjects, and more.

Founded in 2006, we have grown to a company of nearly 200 dedicated employees, with flexible work locations and an average tenure of 5.3 years. Find out why we were named a “Best Company” by Comparably for Women, Compensation, Happiest Employees, Company Perks & Benefits, and Work-Life Balance, as well as “Best CEO” for co-founder Harrison Tang.

About this Opportunity

Spokeo is seeking a highly analytical, business-minded Business Analyst, Payments & Fraud, to drive performance, insight, and continuous improvement across our payments and fraud function. This role is a critical addition to a lean and growing team and reports directly to the SVP of Operations. You will support the Payments & Fraud organization by bringing deeper technical analytics expertise to strengthen performance monitoring, scalable reporting, and data-driven optimization initiatives.

What You’ll Do

Payments & Fraud Analytics

  • Support and enhance the development of payments and fraud KPIs, performance reporting, and post-launch analysis of new payment features and experiments

  • Write and optimize SQL queries to uncover trends, anomalies, and revenue opportunities

  • Translate complex data into clear, actionable recommendations for business leaders

  • Build and maintain dashboards to monitor fraud trends, payment declines, and overall payment health

Fraud Strategy & Decisioning Support

  • Provide analytical support to improve fraud detection and decision workflows

  • Evaluate fraud rule performance, monitor alerts, and recommend data-driven improvements

  • Conduct fraud trend analysis and recommend mitigation strategies

Payment Optimization & Revenue Protection

  • Analyze payment decline drivers and develop decline salvage and optimization opportunities

  • Support initiatives related to account updater, retry strategies and processor performance

  • Identify opportunities to reduce operational costs and losses while improving authorization rates

Team Support & Collaboration

  • Communicate performance insights, root cause analysis, and mitigation strategies across teams

  • Serve as the analytics and reporting extension of the Payments & Fraud team, delivering timely insights that inform decision-making, performance optimization, and strategic initiatives

Who You Are

  • Highly analytical, meticulous, and proactive, with strong attention to detail

  • Excellent organizational and communication skills (written and verbal)

  • Ability to work in a fast-moving, lean operational environment

  • Bachelor’s degree in Business, Finance, Economics, Data Analytics, or related field

  • 2+ years of experience in business analytics, preferably within payments and fraud

  • Strong SQL expertise and experience working with large, complex datasets

  • Proven ability to deliver business insights and performance-driven recommendations

  • Experience building dashboards and reporting in Tableau

  • Familiarity with card-not-present (CNP) subscription-based payments is preferred

  • Prior experience with Cybersource Decision Manager or similar fraud decisioning tools preferred

Working at Spokeo

Spokeo offers a bonus program, equity plans, and 401K. Once a year, we do a discretionary, merit-based salary increase. Additional benefits include 100% medical/dental/vision coverage and unlimited employee PTO.

Spokeo extends written offers to candidates who successfully complete their selection process. Spokeo’s offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits. A final offer will depend on several factors, including, but not limited to, marketplace competition, job leveling, the candidate’s experience, skills, etc.

Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy

Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.

Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm that presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.

#LI-Remote

Skills Required

  • Bachelor’s degree in Business, Finance, Economics, Data Analytics, or a related field
  • 2+ years of experience in business analytics, preferably within payments and fraud
  • Strong SQL expertise and experience working with large, complex datasets
  • Ability to deliver business insights and performance-driven recommendations
  • Experience building dashboards and reporting in Tableau
  • Familiarity with card-not-present subscription-based payments
  • Prior experience with Cybersource Decision Manager or similar fraud decisioning tools

Spokeo Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Spokeo and has not been reviewed or approved by Spokeo.

  • Healthcare Strength — Healthcare coverage is positioned as a standout, with medical, dental, and vision described as fully employer-paid for employees. This materially increases the overall value of the total rewards package beyond base salary.
  • Leave & Time Off Breadth — Time-off benefits are framed as expansive through an advertised unlimited PTO policy plus paid holidays. The practical value is portrayed as potentially high, especially when paired with a remote-friendly setup.
  • Retirement Support — Retirement support is included via a 401(k) with matching referenced as part of the package for eligible roles. This adds longer-term value, although the exact match formula and eligibility are presented as details to confirm.

Spokeo Insights

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The Company
HQ: Pasadena, CA
160 Employees
Year Founded: 2006

What We Do

Spokeo is a people search engine that helps over 18 million monthly visitors reconnect with friends, reunite with families, and protect against fraud. Additionally, our 12 billion records and over 250 million unique profiles help business professionals locate people and assets, research criminal investigation subjects, and more. Founded in 2006, we have grown to a remote-first company of nearly 200 dedicated employees with an average tenure of 4.5 years. Find out why we were named a “Best Company” for 2023 by Comparably for Women, Compensation, Happiest Employees, Company Perks & Benefits, and Work-Life Balance, as well as “Best CEO” for co-founder Harrison Tang.

Why Work With Us

Our mission is to advance transparency, and to achieve that goal, we rally around six core values: listening with empathy, understanding the why, clarifying with data, innovating to learn, collaborating to achieve, and insisting on quality.

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