Payments Data Analyst - Remote-Stelle

Mayflower sucht Payments Data Analyst. Die Stelle liegt im Bereich Daten und Analytics und ist vollständig remote. Das Unternehmen schränkt den Wohnort der Kandidatin nicht ein, Sie können sich also von überall bewerben.

Das Unternehmen hat keine Zahl veröffentlicht, das klärt sich im Gespräch. Zu den Arbeitszeiten stellt die Anzeige keine Bedingung.

Diese Stelle hat eine automatische Prüfung durchlaufen: Anzeigen, die eine ausländische Arbeitserlaubnis, Visa-Sponsoring, eine bestimmte Staatsangehörigkeit oder den Wohnsitz in einem genannten Land verlangen, kommen nicht auf die Liste.

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