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Payments Data Analyst(远程职位)
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Mayflower
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Payments Data Analyst:「数据与分析」类别,完全远程
这条招聘信息来自 Mayflower,岗位是 Payments Data Analyst。职位属于「数据与分析」类别,完全远程。公司不限制候选人的居住地,在任何地方都可以申请。
公司没有公布具体数字,这一项会在面试时谈定。对工作时间,招聘信息没有提出任何条件。
这个职位通过了自动核查:凡是要求外国工作许可、签证担保、特定国籍,或者必须居住在指定国家的招聘信息,都不会进入列表。
要点
- 公司
- Mayflower
- 类别
- 数据与分析
- 谁可以申请
- 来自世界任何国家
- 工作方式
- 完全远程
- 用工形式
- 全职
- 发布时间
- 2026年9月24日 (11 天前)
- 有效期
- 截至 2026年11月23日
- 来源
- Himalayas
新职位邮件提醒:数据与分析
职位板每天更新数次。只有出现新的、已核查的职位时才会写信。不发垃圾邮件,也不需要注册账号。
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公司发布的职位描述
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
职位正文保留公司发布时的原文,因为投递的时候用的也是同一种语言。
关于这个职位的常见问题
我可以在自己居住的地方申请「Payments Data Analyst」这个职位吗?
可以。对于这个职位,Mayflower 接受来自世界任何国家的候选人,所以你不需要其他国家的工作许可。这条招聘信息通过了自动核查:如果雇主要求工作许可、签证担保,或者必须居住在某个特定国家,它就不会出现在本站。
标明的报酬是多少?
对于这个职位,Mayflower 没有公布报酬。多数远程招聘信息不给出具体数字,这件事会在面试时谈定。
怎么申请?
你通过发布在 Himalayas 上的原始招聘信息,直接向雇主提交申请。Donator 不代收申请,不收取佣金,也不保存简历。
这是什么类型的职位?
这是「数据与分析」类别中的一个完全远程职位。混合办公的招聘信息,以及任何需要到办公室的职位,本站都不会发布。
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