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# Data Analyst (for our partner group)

- **Company:** FYST
- **Location:** Germany (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Amazon Web Services, Data Visualization, Cursor (Graphical User Interface Elements), Python (Programming Language), PostgreSQL, Query Optimization, SQL Databases, Sql Optimization, Jupyter, Pandas, Matplotlib, Plotly, GPT, Serverless Computing, Amazon Redshift
- **Published:** May 14, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=099f2c474bdfa398

## About the Role

* 3+ years as a data / BI analyst
 * Advanced SQL (window functions, CTEs, query optimization)
 * Confident with dashboarding and data visualization
 * Analytical mindset - finds insights, proposes solutions, drives them to done
 * Works directly with C-level and non-technical stakeholders
 * Active daily use of AI tools (Claude, ChatGPT, Cursor) - not just awareness

Nice to have:

 * Fintech / payments / acquiring analytics experience
 * Knowledge of interchange, scheme fees, MDR, and IC++ pricing
 * Visa VAMP / Mastercard MMP familiarity
 * Python (pandas, matplotlib/plotly)
 * AWS Redshift / QuickSight experience
 * AML/CFT reporting knowledge
 * Good English level (at least A2-B1) and fluent russian

## Description

You'll own the analytics function end-to-end - from designing the metrics framework before launch to running daily reporting, fraud monitoring, and merchant analysis once we're live.

This is a hands-on role: you write SQL, build dashboards, and dig into data. But you also think in problems and solutions - not just charts. You work directly with the Founder, CFO, CTO, and risk/compliance leads. No layers.

WHAT YOU'LL BE OWNING

 * Metrics & BI - design the metrics framework and dashboards from scratch, maintain the metrics dictionary
 * Data model - review schema, identify gaps, propose what to capture and how
 * Transaction & fraud analytics - auth rates, decline analysis, 3DS performance, Visa VAMP / MC MMP monitoring, chargebacks
 * Financial analytics - merchant P&L, interchange tracking, scheme fees, IC++ vs blended pricing simulation, revenue forecasting
 * Settlement & reconciliation - timeliness, exceptions, nostro monitoring
 * Merchant analytics - health scoring, cohort analysis, onboarding funnel, segmentation
 * Compliance & regulatory - daily safeguarding reconciliation, AML stats, scheme reports, CBC submissions
 * Executive reporting - weekly/monthly reviews with insights and recommendations

OUR TECH STACK: PostgreSQL (RDS) · AWS Redshift Serverless · AWS QuickSight · SQL (primary) · Python (pandas, Jupyter) · Excel/CSV · AI tools daily


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