Data Analyst

Mercuryo

. Own the data behind Mercuryo’s payments business from the first product log to the final dashboard .

Posted 10/5/2026full-timeRemote • CyprusMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and engineering within the payments and fintech sectors, with a strong focus on SQL, data quality assurance, and BI tools. Capable of collaborating with cross-functional teams to deliver actionable insights and maintain data integrity across complex financial datasets.

Highest-signal resume keywords

Expert SQLData AnalyticsExperience With DbtHands-On PythonBI Tools Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalyticsData Quality ChecksTransaction Cost ModelingData MappingKYCFraud PreventionPerformance TuningRefactoringAutomated Reconciliation

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

MetabaseTableauAirflowGitClickHouseStarRocks

Industry Keywords

PaymentsFintechE-MoneyCryptoCard Payment EconomicsAlternative Payment MethodsKYC/AMLBlockchainCustody PlatformsSettlement

Tech Stack

Tools & technologies

AirflowPythonSQLTableauC++

About the role

Key responsibilities & impact

Own the data behind Mercuryo’s payments business from the first product log to the final dashboard
Work with Operations, Finance, Partnerships and Data Engineering to turn business questions into reliable datasets
Build the transaction cost model covering acquirer, scheme, FX, KYC, fraud, chargeback, blockchain and custody costs
Support product launches by working with engineers and product managers to ensure the right data is logged
Define how revenue and costs are recognised, and deliver marts and dashboards
Build and maintain Metabase or Tableau dashboards
Build data-quality checks and alerts using dbt tests and Airflow checks that post to Slack and Jira
Cover data gaps between internal systems, the blockchain, custody and exchanges
Tune alerts to keep them useful rather than noisy
Attach acquirer fees, interchange and scheme fees, FX costs, KYC, transaction-monitoring and fraud-screening costs, chargeback costs, and blockchain and custody fees to each transaction
Match partner invoices and settlement reports against internal data every month
Find and quantify discrepancy root causes and help the business recover discrepancies
Automate manual reconciliation checks
Define fee and cost logic for new acquirers, payment methods and products
Specify data mappings for Data Engineering to implement
Validate data before it reaches reporting

Requirements

What you’ll need

5+ years in data analytics or analytics engineering, preferably in payments, fintech, e-money or crypto
Expert SQL on large transactional datasets, including window functions, deduplication, incremental logic and performance tuning
Ability to read and safely refactor someone else's 1,000-line model
Hands-on experience with dbt or similar and a git-based workflow, including PRs and code review
Familiarity with Airflow
Solid grasp of card payment economics, including acquiring, interchange and scheme fees (IC++), settlement, chargebacks, 3DS and declines
Familiarity with alternative payment methods
Experience matching settlement or invoice files against internal ledgers and explaining discrepancies down to the cent
Hands-on experience with Python
Experience with BI tools such as Metabase, Tableau or similar
Clear communication with non-technical stakeholders
Professional English, written and spoken
Nice to have: knowledge of crypto infrastructure, including on-chain transactions, custody platforms, exchange APIs and network fees
Nice to have: experience with KYC/AML and fraud-prevention vendors and their pricing models
Nice to have: ClickHouse, StarRocks or another MPP database
Nice to have: experience building P&L or unit-economics models with Finance

Benefits

Comp & perks

Competitive market rate salary and performance-based incentives
22 days annual leave with an additional 6 company days, plus bank holidays
Comprehensive health insurance plans
Maternity & Paternity leave support
Extensive benefits program
Flexible work schedule and remote work options
Modern offices and co-working spaces across 6 countries
Working equipment
Professional development and training opportunities
Opportunity to shape the initiatives you’re working on
Diverse and friendly team
We are open-minded to new ideas