Coda
Commerce
SeniorDataAnalyst/AnalyticsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Analyst / Analytics Engineer at Coda. Skills: dbt, Tableau, Looker, QuickSight, SQL, Python. Own analytics for Commercial and Account Management. Support Commercial, Pay/Risk, Marketing, and Finance teams”
What You'll Achieve.
Influence revenue growth; Margin performance; Risk management; Campaign effectiveness; Operational efficiency; Drive business action
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
5+ years of experience as a Data Analyst, Analytics Engineer, BI Analyst, or similar role, SQL skills and experience working with large, complex datasets, business analytics experience, Experience translating ambiguous business questions into structured analysis and clear recommendations, Experience building dashboards in Tableau, Looker, QuickSight, Power BI, or similar tools, Production experience with dbt, Working knowledge of AWS data tools, Python skills for analytical work, understanding of business metrics, written and verbal communication skills, Ability to work independently, prioritize well, and move quickly
Nice to Have
Experience with Iceberg, Parquet, or modern lakehouse architectures, Experience migrating from legacy BI/reporting environments to governed semantic layers, Experience with marketing measurement, attribution, incrementality, A testing, geo tests, or matched-market tests, Experience working with payment, fraud, risk, or transaction data, Experience supporting Commercial, Account Management, Finance, or executive stakeholders, Exposure to ML workflows, SageMaker, or AI-assisted analytics workflows
What You'll Do.
Own analytics for Commercial and Account Management
Translate ambiguous business questions into structured analysis
Build and maintain trusted analytical datasets in dbt
Help codify key metrics through semantic-layer tools
Build dashboards in Tableau
Improve data quality and trust
How You'll Work.
Team & Collaboration
Work closely with Commercial, Account Management, Marketing, Pay/Risk, Finance, and Product teams; Sit with business leaders; Support Commercial, Account Management, Finance, or executive stakeholders
Communication Scope
Written communication skills; Verbal communication skills; Communication with business and leadership stakeholders
Process & Methodology
Prioritize well, Move quickly
Full Job Description
## Description 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 bu
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