6 часов назад
Senior Data Analyst / Analytics Engineer (Fintech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst / Analytics Engineer (Fintech): Building trusted commercial analytics datasets, governed metrics, and decision-ready dashboards across Coda’s payments and digital commerce business with an accent on dbt modeling, metric governance, and business analysis. Focus on translating ambiguous commercial questions into clear recommendations, improving data quality, and analyzing revenue, margin, pricing, product, and risk performance.
Location: Singapore, Singapore; hybrid workplace
Company
is a global digital commerce and payments company headquartered in Singapore, operating B2B monetization and distribution solutions alongside consumer storefronts for digital content, game top-ups, vouchers, and prepaid products.
What you will do
- Own commercial and account management analytics covering publisher performance, portfolio health, margin trends, pricing impact, product performance, and opportunity sizing.
- Analyze data for Commercial, Pay/Risk, Marketing, and Finance teams to diagnose trends, quantify impact, and support business decisions.
- Translate ambiguous business questions into structured analysis, recommendations, and decision-ready outputs.
- Build and maintain trusted analytical datasets in dbt and help define shared business logic for the Gold data layer.
- Codify metrics through semantic-layer tools and build dashboards in Tableau, Looker, and QuickSight.
- Improve data quality with dbt tests, freshness checks, anomaly detection, documentation, and root-cause analysis.
Requirements
- 5+ years of experience as a Data Analyst, Analytics Engineer, BI Analyst, or in a similar role.
- Strong SQL skills and experience with large, complex datasets.
- Experience with business analytics, dashboard development, production dbt models, tests, documentation, and reusable transformation patterns.
- Working knowledge of AWS data tools such as Athena, S3, Glue, EMR, or Redshift, plus Python for analytical work with pandas, numpy, and basic statistical analysis.
- Familiarity with semantic-layer concepts such as LookML, the dbt semantic layer, Cube, metrics layers, or governed BI models.
- Strong communication, independent prioritization, and the ability to work effectively with business and leadership stakeholders.
Nice to have
- Experience with Iceberg, Parquet, modern lakehouse architectures, or migration from legacy reporting to governed semantic layers.
- Experience with marketing measurement, attribution, incrementality, A/B testing, geo tests, or matched-market tests.
- Experience with payment, fraud, risk, or transaction data.
- Exposure to ML workflows, SageMaker, or AI-assisted analytics workflows.
Culture & Benefits
- Work in a global team of more than 600 people representing 57 nationalities across 23 locations.
- Collaborate across Commercial, Account Management, Marketing, Pay/Risk, Finance, and Product teams.
- Culture centered on respect, ownership, collaboration, and fast execution.
- Work with an AWS-based data stack including dbt, Athena, Spark, Iceberg, Parquet, and BI platforms.
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