Senior Data Analyst

About Coda

Coda is a worldwide commerce growth platform that merges people, digital products, and payment solutions to enable trusted monetization and distribution. With a workforce exceeding 600 employees from 57 different nationalities spread across 23 global offices including Singapore headquarters, Coda delivers B2B platforms such as Codapay, Coda Webstore, and Giftcloud, supporting publishers and brands in monetizing and distributing digital content internationally. On the consumer front, Coda operates several secure storefronts like Codashop and Recharge.com, offering easy access to game top-ups, credits, vouchers, gift cards, and prepaid products across more than 70 markets.

Our values emphasize respect, ownership, and collaboration, fostering a fast-moving, supportive culture that celebrates collective success. If you aim to advance your career and influence within a global environment, Coda welcomes you.

Data Science & Analytics Team

The Data Science & Analytics group at Coda transforms data into actionable business insights, collaborating closely with teams from Commercial, Marketing, Finance, Risk, and Product divisions. Our initiatives directly support revenue enhancement, margin optimization, risk oversight, and operational efficiencies. Utilizing a modern AWS-based data stack including dbt, Athena, Spark, and BI tools like Tableau, QuickSight, and Looker, we strive to replace fragmented reports with authoritative datasets and standardized metric frameworks.

Role Overview

We seek an experienced Senior Data Analyst / Analytics Engineer responsible for leading impactful commercial analytics activities. This position integrates business analytics, dashboard creation, metric definition, and analytical modeling to assist multiple teams with trusted data insights and strategic recommendations. It goes beyond routine reporting by requiring interaction with business leaders to clearly define decisions through deep data exploration.

Key Responsibilities

• Lead analytics concerning Commercial and Account Management, focusing on publisher performance, portfolio health, margin movements, pricing effects, product metrics, and opportunity identification.
• Deliver rapid, precise analyses to support Commercial, Marketing, Pay/Risk, and Finance teams for trend analysis, impact quantification, and actionable insights.
• Convert unstructured business queries into organized analyses, clear guidance, and decision-ready materials.
• Create and upkeep reliable analytical datasets in dbt, standardizing business logic and enhancing Coda's gold data layer quality.
• Develop and maintain semantic layer definitions around key metrics using LookML, dbt semantic layers, or equivalent governed BI methodologies.
• Design user-focused dashboards in Tableau, Looker, and QuickSight that empower business units to track performance and make informed decisions.
• Enhance data integrity by utilizing dbt testing, freshness validation, anomaly detection, documentation, and conducting root-cause investigations.

Qualifications

• Minimum of five years’ experience in roles like Data Analyst, Analytics Engineer, or Business Intelligence Analyst.
• Expert proficiency in SQL and handling extensive, complex datasets.
• Robust background in business analytics within sectors such as fintech, payments, eCommerce, gaming, or fast-growing online enterprises.
• Adept at translating ambiguous business problems into structured analysis and actionable recommendations.
• Competence in dashboard creation utilizing BI platforms including Tableau, Looker, QuickSight, or Power BI.
• Hands-on experience with dbt covering modeling, testing, documentation, and reusable transformations.
• Understanding of semantic layer concepts including LookML or similar governed BI frameworks.
• Familiarity with AWS data technologies such as Athena, S3, Glue, EMR, and Redshift.
• Analytical proficiency in Python, focusing on pandas, numpy, and introductory statistics.
• Comprehensive knowledge of key business metrics like TPV, revenue, margin, conversion rates, retention, and campaign effectiveness.
• Strong communication capabilities for engaging with business and leadership stakeholders.
• Ability to work autonomously, prioritize efficiently, and adapt swiftly within a dynamic environment.

Additional Desired Experience (Bonus)

• Hands-on knowledge of modern data lakehouse structures like Iceberg and Parquet.
• Involvement in transitioning from outdated BI/reporting to managed semantic layers.
• Exposure to marketing measurement methods, attribution modeling, A/B testing, and similar experimental designs.
• Experience with payment, fraud detection, risk, or transactional datasets.
• Supporting senior Commercial, Account Management, Finance, or executive teams.
• Familiarity with machine learning workflows, AWS SageMaker, or AI-enhanced analytics processes.

Equal Opportunity & Hiring Policies

Coda is committed to an inclusive and diverse workforce, supporting applicants irrespective of gender, ethnicity, age, religion, disability, or any local protected categories. We aim to create a welcoming workplace for all.

Please note only shortlisted candidates will be contacted due to application volume. We employ some artificial intelligence tools as part of our recruitment steps to assist but final decisions are human-led. For inquiries on data processing during hiring, please contact us directly.