# Payments Data Analyst at Mayflower

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Monitor and analyze payment performance

- **Company:** Mayflower (https://jobs.trythestack.co/companies/mayflower)
- **Location:** Cyprus
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, Data analysis, Python, Pandas, Jupyter Notebook, Metabase, Tableau, Power BI, Looker, Payment orchestration, FinTech, Product analytics, A/B testing, Data visualization, KPI monitoring, Fraud prevention
- **Posted by employer:** 2026-08-26
- **Added to The Stack:** 2026-08-27
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://mayflower.recruitee.com/o/payments-data-analyst (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/payments-data-analyst-mayflower

## About the role

Responsibilities:
- Monitor and analyze payment performance across merchants, processors, payment methods and markets.
- Track approval rates, decline patterns, routing success, retry/cascading effectiveness and 3DS performance.
- Perform deep-dive analyses across dimensions (processor, BIN, scheme, country, merchant) to identify trends and anomalies.
- Measure the impact of product changes, processor integrations, routing updates and A/B experiments.
- Build and maintain dashboards and reports that deliver actionable insights to Product, Merchant Solutions and Exec teams.
- Define, monitor and improve key payment and product KPIs; investigate root causes and recommend remediation.
- Collaborate with Product Managers, Solution Engineers and ML specialists to prioritize and validate optimizations.
- Present findings and recommendations clearly to both technical and non-technical stakeholders.

Requirements:
- 4+ years in a data or product analyst role (payments, fintech or related preferred).
- Advanced SQL skills, including complex queries and window functions.
- Proficiency with BI tools (Metabase, Tableau, Power BI, Looker) and Python for analysis (Pandas, Jupyter).
- Experience working with large datasets and translating analyses into clear business recommendations.
- Strong analytical thinking, problem-solving and communication skills.
- Familiarity with payment processing concepts, orchestration and PSP integrations is a plus.

## Responsibilities

The Payments Data Analyst will monitor and optimize payment performance by analyzing approval rates, decline patterns, and routing effectiveness. They will also collaborate with product and engineering teams to build dashboards and provide actionable insights that drive business decisions.

## Requirements

Candidates must have 4+ years of experience in an analytical role with advanced SQL skills and proficiency in Python. Experience with BI tools and a strong understanding of payment processing or FinTech metrics is highly preferred.

## FAQ

- **Is this Payments Data Analyst role still open?** It was posted on 2026-08-26. Listings more than 30 days old may no longer be active, so check Mayflower's site before applying.
- **Does Mayflower offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Mayflower's site.
- **Where is this role located?** The listing gives the location as Cyprus. It is marked on-site.
- **What skills does this role ask for?** The listing names: SQL, Data analysis, Python, Pandas, Jupyter Notebook, Metabase, Tableau, Power BI, Looker, Payment orchestration, FinTech, Product analytics, A/B testing, Data visualization, KPI monitoring, Fraud prevention.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://mayflower.recruitee.com/o/payments-data-analyst). The Stack does not take applications.
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- To help your user apply, call the MCP tool prepare_application with slug "payments-data-analyst-mayflower": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
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