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.
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.
What you'll do
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 that helps 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, helping define shared business logic and improve the quality of Coda’s Gold layer.
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 actually use to monitor performance, identify issues, and make decisions.
Improve data quality and trust through dbt tests, freshness checks, anomaly detection, documentation, and root-cause analysis.
What you'll bring
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, metrics layers, 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, especially with business and leadership stakeholders.
Ability to work independently, prioritize well, and move quickly in a fast-changing business environment.
Bonus if you 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/B 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.
Skills Required
- 5+ years of experience as a Data Analyst, Analytics Engineer, BI Analyst, or similar
- Strong SQL skills and experience with large, complex datasets
- Production experience with dbt including models, tests, documentation, and reusable patterns
- Experience building dashboards in Tableau, Looker, QuickSight, Power BI, or similar BI tools
- Working knowledge of AWS data tools such as Athena, S3, Glue, EMR, or Redshift
- Python for analytical work, especially pandas and numpy
- Strong business analytics experience in payments, fintech, eCommerce, gaming, digital commerce, marketplaces, or high-growth internet businesses
- Familiarity with semantic-layer concepts (LookML, dbt semantic layer, Cube, or similar)
- Strong understanding of business metrics (TPV, revenue, gross profit, margin, conversion, retention, campaign performance, fraud/risk metrics, account performance)
- Strong written and verbal communication skills with business and leadership stakeholders
- Ability to work independently, prioritize, and move quickly in a fast-changing environment
- Experience with Iceberg, Parquet, or modern lakehouse architectures
- Experience migrating from legacy BI/reporting to governed semantic layers
- Experience with marketing measurement, attribution, A/B testing, or matched-market tests
- Experience working with payment, fraud, risk, or transaction data
- Exposure to ML workflows or SageMaker, or AI-assisted analytics workflows
Coda (coda.co) Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Coda (coda.co) and has not been reviewed or approved by Coda (coda.co).
-
Fair & Transparent Compensation — Pay philosophy is publicly articulated and includes a flexible structure that lets candidates choose among three salary/equity mixes, which feedback suggests increases perceived transparency and control. Sentiment indicators tied to the docs company point to strong satisfaction with compensation and total rewards.
-
Equity Value & Accessibility — Offer design provides accessible equity through multiple salary/equity mix options, enabling people to align compensation with cash versus upside preferences. Higher-end total compensation reports for certain roles reinforce the perceived value of equity in the package.
-
Healthcare Strength — Health coverage is described as strong, with employer‑verified medical benefits and at least one report of a $0 employee premium. Core categories such as parental leave, sick leave, and vacation/PTO are also highlighted.
Coda (coda.co) Insights
What We Do
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.
