出海雷达

支付数据分析师

Payments Data Analyst

职能支持未标注地域
公司Mayflower
薪资未公开
工作地点Worldwide
地域资格未标注地域
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22 天前
数据来源Himalayas
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我们的团队正在开发一个支付网关,用于代表商家接收用户的资金,并将资金从商家发送给用户。该系统涉及存储用户支付数据,并需符合PCI DSS合规要求。它包含与支付系统、提供商及其他网关和处理器的多个集成,包括3DS。我们正在寻找一名支付数据分析师加入产品团队,将支付和产品数据转化为可操作的见解,以提升商家的成功率、平台性能和业务决策。

作为支付数据分析师,你将成为产品、商家解决方案、处理器集成和机器学习团队的战略合作伙伴,帮助推动我们支付平台上的数据驱动决策。

你将分析支付表现,识别趋势和优化机会,评估产品计划的影响,并提供能提高通过率、支付效率和商家体验的建议。

职位职责:

  • 监控、分析并优化不同商家、处理器、支付方式和市场中的支付表现。
  • 分析通过率、拒绝模式、支付路由表现、重试和级联效果、3DS表现和交易成功率。
  • 进行深入分析,识别在处理器、卡组织、BIN码、国家、商家和支付方式等方面的趋势、异常和优化机会。
  • 评估新功能、处理器集成、路由变更、支付优化计划和A/B测试的影响。
  • 构建和维护仪表盘和报告,为产品、商家解决方案、高管和其他业务团队提供可操作的见解。
  • 定义、监控并改进关键的产品和支付KPI。
  • 调查商家和处理器的表现,识别根本原因并提出改进建议。
  • 与产品经理合作,支持产品探索、功能优先级排序和成功度量。
  • 与解决方案工程师、集成分析师和机器学习专家紧密合作,提升支付表现和运营效率。
  • 通过识别异常、新兴趋势和优化机会,持续监控支付表现。
  • 以清晰、面向业务的方式向技术及非技术利益相关者呈现分析结果和建议。

要求

如果你具备以下条件,你将在这里茁壮成长

  • 4年以上相关经验
查看英文原文

Our team is developing a payment gateway for accepting funds from users on behalf of merchants, as well as sending funds from merchants to users. The system involves storing user payment data and is subject to PCI DSS compliance. It contains multiple integrations with payment systems, providers, and other gateways and processors, including 3DS.We're looking for a Payments Data Analyst to join our Product team and transform payment and product data into actionable insights that improve merchant success, platform performance, and business decisions.
As a Payments Data Analyst, you will be a strategic partner to the Product, Merchant Solutions, Processor Integrations, and ML teams, helping drive data-informed decisions across our payment platform.
You will analyze payment performance, identify trends and optimization opportunities, evaluate the impact of product initiatives, and provide recommendations that improve approval rates, payment efficiency, and merchant experience.
Job Responsibilities:

  • Monitor, analyze, and optimize payment performance across merchants, processors, payment methods, and markets.
  • Analyze approval rates, decline patterns, payment routing performance, retry and cascading effectiveness, 3DS performance, and transaction success.
  • Perform deep-dive analyses to identify trends, anomalies, and optimization opportunities across processors, card schemes, BINs, countries, merchants, and payment methods.
  • Measure the impact of new product features, processor integrations, routing changes, payment optimization initiatives, and A/B experiments.
  • Build and maintain dashboards and reports that provide actionable insights for Product, Merchant Solutions, Executive, and other business teams.
  • Define, monitor, and improve key product and payment KPIs.
  • Investigate merchant and processor performance to identify root causes and recommend improvements.
  • Collaborate with Product Managers to support product discovery, feature prioritization, and success measurement.
  • Work closely with Solution Engineers, Integration Analysts, and the ML Specialist to improve payment performance and operational efficiency.
  • Support continuous monitoring of payment performance by identifying anomalies, emerging trends, and opportunities for optimization.
  • Present analytical findings and recommendations in a clear, business-oriented manner to technical and non-technical stakeholders.

Requirements
You’ll thrive here if you have

  • 4+ years of experience as a Data Analyst, Product Analyst, Payments Analyst, or in a similar analytical role.
  • Advanced SQL skills, including complex queries and window functions.
  • Experience with BI tools such as Metabase, Tableau, Power BI, Looker, or similar.
  • Experience with Python (Pandas, Jupyter Notebook) for data analysis.
  • Strong analytical thinking and problem-solving skills.
  • Experience working with large datasets.
  • Ability to translate complex data into clear business recommendations.

Nice to Have

  • Experience in FinTech, Payments, SaaS, or E-commerce.
  • Understanding of payment processing, payment orchestration, or PSP integrations.
  • Knowledge of payment routing, retries, cascading, and 3DS authentication.
  • Familiarity with payment KPIs such as approval rate, conversion rate, authorization rate, and decline analysis.
  • Understanding of fraud-related metrics, chargebacks, RDR, and risk signals.
  • Experience working with product analytics, experimentation, and feature adoption metrics.
  • Basic understanding of Machine Learning concepts.

Conditions
We know that great talent deserves great conditions, so here’s what you can expect when joining us:

  • Full remote work.
  • Competitive compensation with a service contract.
  • Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
  • An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most.
  • Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage.
  • Career growth in a fast-scaling project with opportunities to influence technical decisions.
  • A culture of recognition: our peer reward program celebrates contributions from across the team.

This opportunity is also available for those who already live in Limassol, Cyprus.

  • EU-based employment contract and a 3-year Cyprus work visa.
  • Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
  • 50% coverage of school and kindergarten fees for your children.
  • Fully covered sports benefits, and also access to in-house electric scooters and bike rentals.
  • A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
  • Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.

Benefits are provided in accordance with the company’s policies and eligibility criteria.
Recruitment process

  • HR interview (40 min);
  • Technical interview (1 hour);
  • Final interview (1 hour);
  • Recommendations check;
  • Job Offer.

Originally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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