What if you could define how millions of Europeans use everyday services inside a single (Super)App?

A single place where people can shop, pay, book, connect, and manage their daily lives, without switching between dozens of apps.

Inspired by Asian Super Apps like Alipay and WeChat, Rebell is designed for Europe. We are a licensed Electronic Money Institution (EMI), funded (+30M CHF), with senior leaders from Alipay, Satispay, Scalapay, Qonto, and Glovo, preparing for our first market launch in Q1 2027.

We are now hiring a Senior Data Analyst – Financial & Payments Control to help us design and scale the control framework behind it.

You will not just analyze data. You will design the systems that make financial data reliable.

Antonio, Director of Payments, is looking for a Senior Data Analyst to own and strengthen Rebell’s financial control architecture.

External ERP

Compliance and regulatory reporting outputs

As we scale, this function is expected to grow, including structured ownership of reporting exports, data cleansing processes, and regulatory grade data governance.

This is a foundational role: you will build the first version of Rebell’s financial control and reconciliation framework, creating the baseline that will scale with the company.

As a Senior Data Analyst – Payments, Reconciliation & Financial Control, you will:

Design reconciliation frameworks across ledger, banks, acquirers, safeguarded accounts, and ERP.

Turn inconsistencies into scalable control mechanisms.

Translate operational complexity into structured, repeatable systems.

Automate controls using SQL and Python, progressively reducing manual checks.

Build structured monitoring systems (control logic, exception tracking, automated alerts).

Collaborate with Payments, Finance, Operations, Compliance and Engineering to ensure cross system coherence.

Reconcile compliance and regulatory reporting datasets with operational and ledger data.

Validate invoices and scheme costs, identifying pricing anomalies.

soft declines, latency spikes, routing or provider specific drops) and drive data backed improvement loops with Payments and Engineering, including before and after measurement and ongoing tracking.

Ledger, banks, and ERP are consistently aligned.

Compliance exports are reliable, traceable, and reconcilable.

Card acquiring performance improves over time because issues are detected, explained with data, fixed with clear actions, and tracked with measurable outcomes.

Manual reconciliations are progressively replaced by automated controls.

New MiniApps can launch without creating financial chaos.

When complexity increases, control scales with it.

We prefer clear rules and good systems to meetings and approvals.

We believe in “better forgiveness than permission” , as long as decisions are well-reasoned.

We think complexity should be engineered, not manually managed.

We want an ultimately lean organization . We believe that large teams create complexity hinder innovation and adaptation.

We simplify things agressively and automate whatever we can .

skills you can learn from the team.

We’re an international team (10+ nationalities). English is the working language.

5+ years of experience in payments, fintech, banking, acquiring, or financial operations.

Advanced proficiency in SQL, working knowledge of Python (or similar) for automation.
Experience working on embedded products, platform layers, SDKs, APIs, or partner-facing tools.
Understanding of settlement logic and reconciliation principles (can deepen on the job).
Experience working with multiple financial systems (ledger, banks, ERP, processors).
You are uncomfortable with “this can’t be done” as a final answer.

The standard contract includes 3 days of remote work per week.

The min salary range for this role is + €55,000 gross per year, depending on experience . We also offer performance-based upside and the opportunity to grow into a broader ownership role as the company scales.

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Senior Data Analyst Python Sql (Remote)

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