At Revolut, I run GTM-style operations and revenue analytics for the loyalty programme. I introduced a standardised incrementality-testing method with non-overlapping control groups and a Looker dashboard tracking spend, GMV, transactions, and incrementality.
I built the GMV estimation model used for budgeting and revenue forecasting, and set up the fraud recoup process for identifying programme misuse and recovering funds. I also created the programme’s BCI and KPI framework and automated error tracking from Slack to Google Sheets.
Earlier at Revolut, I handled card payment operations, including chargebacks and disputes, and used SQL and Looker to investigate transaction issues. At Amazon, I analysed payment data and built Excel and Google Sheets dashboards; I also wrote Confluence playbooks for dispute workflows and mentored new team members on SQL.
