出海雷达

支付与欺诈业务分析师

Business Analyst, Payments and Fraud

职能支持限定地区(需当地身份)
公司Spokeo
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间15 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

关于Spokeo:
加入我们的使命,用数据让世界更加透明。
Spokeo是一个人物搜索引擎,帮助超过1800万的月活跃用户重新联系朋友、重聚家庭并防范欺诈。此外,我们拥有120亿条记录和超过2.5亿个独特档案,帮助商业专业人士定位人员和资产、研究犯罪调查对象等。
自2006年成立以来,我们已成长为一家近200名敬业员工的公司,提供灵活的工作地点,平均任职时间为5.3年。了解为何我们被Comparably评为“最佳公司”,涵盖女性、薪酬、最幸福员工、公司福利与待遇、工作与生活平衡,以及联合创始人Harrison Tang获得的“最佳CEO”称号。
关于这个职位
Spokeo正在寻找一位高度分析能力、具有商业思维的支付与欺诈业务分析师,以推动我们在支付和欺诈职能方面的表现、洞察力和持续改进。这个职位是快速增长团队中的关键成员,直接向运营副总裁汇报。你将通过提供更深入的技术分析专业知识,支持支付与欺诈组织,加强性能监控、可扩展报告和数据驱动优化计划。

你将负责
支付与欺诈分析

  • 支持并提升支付和欺诈KPI、绩效报告及新支付功能和实验的后期分析
  • 编写和优化SQL查询,以发现趋势、异常和收入机会
  • 将复杂的数据转化为对业务领导清晰可行的建议
  • 构建和维护仪表盘,以监控欺诈趋势、支付失败和整体支付健康状况

欺诈策略与决策支持

  • 提供分析支持,以改善欺诈检测和决策流程
  • 评估欺诈规则表现,监控警报,并推荐数据驱动的改进方案
  • 进行欺诈趋势分析并推荐缓解策略

支付优化与收入保护

  • 分析支付失败的原因并开发失败挽回和优化机会
  • 支持账户更新器、重试策略和处理器性能相关计划
  • 识别减少运营成本和损失的机会,同时提高授权率

团队支持与协作

  • 在各团队之间沟通绩效洞察、根本原因分析和缓解策略
  • 担任团队的分析支持者,协助解决复杂问题
查看英文原文

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:
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.
Originally posted on Himalayas

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