Finance Data Analyst

Skills this role screens for

The work

THE ROLE

Ziina is looking for a Finance Data Analyst to own our operational reconciliations and build the data foundations that power Finance automation. This is a data role sitting inside Finance. You’ll spend most of your time in SQL, working with transaction-level data across our product ledger, payment gateways, card schemes and settlement files, making sure every payment, refund, chargeback, fee and payout is accounted for.

That could mean tracing why a day’s gateway settlement doesn’t match what our ledger says we processed, writing the logic that decides whether a transaction is a match, a flag or an escalation, or automating a weekly tracker that used to take hours. We’re at a big moment in our growth. Our reconciliation engine is already running on our data platform, an ERP migration is underway, and the Finance team is ready to automate more of how it works.

This is not an accounting or bank reconciliation role. You won’t be booking journals or ticking off bank statements. You’ll be working through high volumes of transaction data across several systems to find where they disagree, why, and what needs to change in the product or the process to fix it.

Our ideal candidate is a curious, data-driven problem solver who digs into the numbers until they make sense and loves fixing things that are still done by hand. You’ll thrive here by asking sharp questions, cross-checking your sources, and explaining what you find clearly enough that Product and Engineering can act on it.

The work

AS A FINANCE ANALYST AT ZIINA YOU WILL

• Own Ziina’s operational reconciliations end to end, matching transaction-level data between our product ledger, payment gateways, acquirers and settlement reports so that every dirham that moves through the platform is explained
• Run our reconciliation engine day to day: monitor its outputs, query the underlying data to investigate every break to its root cause (timing cut-offs, FX, duplicates, reversals, missing settlements), and work with Ops, Product and Engineering until it’s resolved
• Define and refine the exception logic that decides what’s a match, a flag or an escalation, and absorb new product flows into the reconciliation as they launch
• Automate the reconciliations and Finance processes that are still manual, using SQL and our data platform
• Build and own the Finance dashboard leadership relies on for cash, burn, runway and managerial P&L, and automate the weekly burn tracker so it runs itself
• Create shared definitions for revenue, TPV, rebates and chargebacks across every system, and work with our Data team on the feeds that bring payroll, Ops, gateway and bank data into our ERP
• Make sure reconciled data flows cleanly into month-end close and our new ERP, working alongside our Accounting team
• Document how our Finance data, integrations and reconciliation logic connect, so anyone on the team can understand and build on them

Also

TO SUCCEED IN THIS ROLE, YOU LIKELY

• Have 3–5 years of experience in a data analyst, analytics, BI or operations analytics role working with high-volume transaction data, ideally at a fintech, payments company, bank or marketplace. A finance or accounting background isn’t required
• Write strong SQL every day, independently: complex joins, window functions and reconciling datasets from different sources, not just running pre-built reports
• Are investigative by nature: when two numbers don’t agree, you need to know why, and you check against a second source before you trust a result
• Can explain how you got every number you produce, including its assumptions and limits
• Have built or maintained a report, data model or dashboard that other people relied on, and know what makes data trustworthy
• Spot manual work quickly and feel a real pull to automate it
• Write clearly and concisely: problem, expected behaviour, impact, ask, so others can act straight away
• Build strong working relationships across teams, especially with