Data Analyst (for our partner group)

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
 

WHAT YOU NEED TO SUCCEED IN THIS ROLE
 

Must have:

• 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 

WHAT WE OFFER

• Remote work (EU timezone or close to it) 
• Competitive compensation above typical market benchmarks for similar roles
• Work directly with Founder, CTO, CFO, risk team — no corporate layers
• Own the analytics function from day one
• Growth path to Head of Analytics / BI
• Small, highly engaged team with strong ownership
• Fast-paced environment with minimal bureaucracy