Senior Data Analyst

About the Company

Coda is a global growth engine for commerce, connecting people, digital products, and payments through monetization and distribution solutions. With 600+ people from 57 nationalities across 23 locations and headquarters in Singapore, we operate B2B solutions (Codapay, Coda Webstore, Coda Links, Coda Distribution, Giftcloud) and consumer storefronts (Codashop, Recharge.com, Startselect.com, mobiletopup.co.uk) serving customers in over 70 markets. Our culture values respect, ownership, and collaboration.

Data Science & Analytics at Coda

The Data Science & Analytics team turns data into business decisions, working closely with Commercial, Account Management, Marketing, Pay/Risk, Finance, and Product. 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 building trusted Gold datasets, clearer metric ownership, and stronger semantic-layer practices.

About the Role

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, supporting Commercial, Account Management, Marketing, Pay/Risk, and Finance by delivering trusted metrics, decision-ready dashboards, and clear business recommendations.

Responsibilities

• Own analytics for Commercial and Account Management use cases, including publisher performance, portfolio health, margin trends, pricing impact, product performance, and opportunity sizing.
• Support Commercial, Pay/Risk, Marketing, and Finance teams with fast, high-quality analysis to diagnose trends, quantify impact, and drive business action.
• Translate ambiguous business questions into structured analysis, clear recommendations, and decision-ready outputs.
• Build and maintain trusted analytical datasets in dbt, defining shared business logic and improving the Gold layer quality.
• Help codify key metrics through semantic-layer tools such as LookML, the dbt semantic layer, or similar governed BI patterns.
• Build dashboards in Tableau, Looker, and QuickSight that business teams use to monitor performance and make decisions.
• Improve data quality and trust through dbt tests, freshness checks, anomaly detection, documentation, and root-cause analysis.

Qualifications

• 5+ years of experience as a Data Analyst, Analytics Engineer, BI Analyst, or similar role.
• Strong SQL skills and experience working with large, complex datasets.
• Strong business analytics experience, ideally in payments, fintech, eCommerce, gaming, digital commerce, marketplaces, or high-growth internet businesses.
• 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, including models, tests, documentation, and reusable transformation patterns.
• Familiarity with semantic-layer concepts such as LookML, dbt semantic layer, Cube, or governed BI models.
• Working knowledge of AWS data tools such as Athena, S3, Glue, EMR, Redshift, or similar cloud data platforms.
• Python skills for analytical work, especially pandas, numpy, and basic statistical analysis.
• Strong understanding of business metrics such as TPV, revenue, gross profit, margin, conversion, retention, campaign performance, fraud/risk metrics, and account performance.
• Strong written and verbal communication skills and the ability to work independently and prioritize in a fast-changing environment.

Additional Information

• Bonus: Experience with Iceberg, Parquet, or modern lakehouse architectures.
• Bonus: Experience migrating from legacy BI/reporting environments to governed semantic layers.
• Bonus: Experience with marketing measurement, attribution, incrementality, A/B testing, geo tests, or matched-market tests.
• Bonus: Experience working with payment, fraud, risk, or transaction data, and exposure to ML workflows, SageMaker, or AI-assisted analytics workflows.
• We are an equal opportunity employer and aim to foster an inclusive environment where everyone feels welcome and valued.