Senior Data Analyst

Why Coda Coda is a global growth engine for commerce, connecting people, digital products, and payments through trusted monetization and distribution solutions. With 600+ people from 57 nationalities across 23 locations, we’re a truly global team headquartered in Singapore, with offices in Amsterdam, Dubai, Bristol, Shanghai, Eindhoven, and across Southeast Asia. We power global commerce through a dual model. Our B2B solutions, Codapay, Coda Webstore, Coda Links, Coda Distribution, and Giftcloud, enable publishers and brands to monetize and distribute digital content globally. On the consumer side, we operate a portfolio of trusted storefronts including  Codashop, Recharge.com, Startselect.com, and mobiletopup.co.uk, that give customers secure and easy access to game top-ups, digital credits, vouchers, gift cards and prepaid products in over 70 markets. Our culture is built on respect, ownership, and collaboration. We move fast, support each other, and celebrate wins together. If you’re looking to grow your career and make a real impact in a global team, Coda is the place for you.  Data Science & Analytics at Coda At Coda, the Data Science & Analytics team turns data into business decisions. We work closely with Commercial, Account Management, Marketing, Pay/Risk, Finance, and Product teams. Our work directly influences revenue growth, margin performance, risk management, campaign effectiveness, and operational efficiency. Our stack runs on AWS, with dbt for transformation, Athena and Spark over an Iceberg and Parquet data lake, Python for analysis, and BI tools including QuickSight, Tableau, and Looker. We are also building a stronger analytics foundation: moving from fragmented legacy reporting to trusted Gold datasets, clearer metric ownership, and stronger semantic-layer practices.   The Opportunity We are hiring a Senior Data Analyst / Analytics Engineer to own high-impact commercial analytics across Coda. This role sits at the intersection of business analytics, dashboarding, metric governance, and analytical data modeling. You will support Commercial, Account Management, Marketing, Pay/Risk, and Finance by turning raw data into trusted metrics, decision-ready dashboards, and clear business recommendations. This is not a reporting-only role. We are looking for someone who can sit with business leaders, understand the decision that needs to be made, go deep into the data, and come back with a clear point of view. The ideal candidate is commercially sharp, technically strong, comfortable with ambiguity, and able to move quickly without compromising analytical quality.