Data Analyst

🔥 12 hours ago

🇨🇾 Cyprus – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

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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Mercuryo

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💳 Fintech

🌐 Web 3

💰 Series A on 2021-06

Fintech • Web 3 • Payments

Mercuryo is a global fintech company creating a new generation of financial services for leading web3 and fintech applications. The company offers a holistic platform that integrates with both web3 and fiat worlds through a single API to provide a wide range of financial services. Mercuryo facilitates fiat-to-crypto exchanges, on- and off-ramps, and provides built-in anti-fraud infrastructure and screening. By partnering with notable entities like MetaMask and PancakeSwap, Mercuryo enhances access to decentralized finance (DeFi) services, streamlines onboarding, and strengthens payment solutions. Backed by a team of over 200 professionals, Mercuryo is at the forefront of payments innovation, aiming to bridge conventional and web3 finance.

📋 Description

• 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

• 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

• 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