Data Analyst – Payment Performance, Optimization

🕒 March 27

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 63%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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JobLeads

WebsiteLinkedInAll Job Openings

51 - 200 employees

🎯 Recruiter

👥 HR Tech

Recruitment • HR Tech

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📋 Description

• Own and continuously improve end-to-end payments dashboards in Power BI • Maintain and optimize the payments BI infrastructure and data organization • Ensure data accuracy, consistency, and governance across all payment KPIs • Standardize KPI definitions across Product, Operations, Finance, and Risk • Translate business questions into structured SQL queries and meaningful reporting • Lead ad-hoc investigations into authorization drops, decline spikes, PSP comparisons, and recovery performance • Proactively identify anomalies, performance trends, and emerging risks • Improve documentation and clarity of payment data models • Partner cross-functionally to ensure reporting aligns with operational reality • Collaborate closely with the BI team for peer review and quality assurance before findings and reports reach stakeholders • Report to the Head of BI and work with Payments and high-level management stakeholders

🎯 Requirements

• 5+ years of experience in Data Analytics (payments or fintech strongly preferred) • Advanced Power BI expertise, including data modeling, DAX, and performance optimization • Strong SQL skills, with confidence querying and validating complex tables in SQL Server • Familiarity with Azure and Microsoft Fabric is a plus • Experience working with payment data, including PSPs, recurring flows, refunds, and chargebacks • Deep familiarity with core payment KPIs, including authorization rate, decline reason analysis, retry performance, involuntary churn and recovery, and fraud and chargeback ratios • Strong mindset for data structure, governance, and documentation • Ability to explain complex data clearly to non-technical stakeholders • Rigorous self-review habits and willingness to validate findings with colleagues before sharing them onward • Direct experience with PSPs or acquirers, such as Adyen and Checkout • Experience with payment orchestration platforms, such as Spreedly • Experience in subscription or recurring billing environments • Basic Python skills for analysis or automation

🏖️ Benefits

• A fully remote setup within Europe, built on trust and autonomy • High ownership and real impact on revenue-critical systems • Cross-functional collaboration with senior stakeholders • A culture that values clarity, precision, and thoughtful decision-making • The opportunity to shape the payments analytics foundation of a growing company • Annual company summer getaway • Team meetups across the EU • Fully remote company with a positive, diverse, and supportive culture