G

GoTymeX

Builds the software behind digital banks

Data Analyst

Data AnalysisConfirmed live in the last 24 hours
Full-timeHo Chi Minh City, VietnamNo salary listedHybrid

About the Job

Requirements

  • Strong SQL expertise, including complex queries, common table expressions, window functions, and query optimization.
  • Proficiency in Python or PySpark for data manipulation and analysis.
  • A solid foundation in statistical analysis, hypothesis testing, and experimental design.
  • Experience with business intelligence tools such as Tableau or similar; Looker is preferred.
  • Experience with Databricks.
  • At least 2 years of experience in financial services, fintech, or banking.
  • Understanding of credit risk, lending products, and regulatory requirements.
  • Knowledge of GDPR and data governance.
  • Experience with customer lifecycle analytics and retention strategies.
  • Ability to make strategic and operational decisions using data.
  • Ability to solve complex problems involving business, regulatory, and operational variables.
  • Ability to influence stakeholders and present data convincingly.
  • Experience collaborating cross-functionally with non-technical teams.

Responsibilities

  • Collect, clean, and analyze data from multiple sources to support business needs.
  • Build and maintain core analytical datasets and reports for cross-functional teams.
  • Ensure data accuracy, consistency, and reliability through validation and quality checks.
  • Apply statistical and analytical techniques to uncover trends and opportunities.
  • Collaborate with business stakeholders to understand requirements and deliver actionable insights.
  • Conduct in-depth analyses of customer behavior, product usage, and market trends.
  • Translate complex data findings into clear, impactful recommendations for business strategy.
  • Support data-driven decision-making across marketing, operations, finance, and product teams.
  • Develop dashboards and key performance indicator tracking tools to monitor business performance.
  • Design and execute experiments, including A/B tests, to evaluate initiatives.
  • Present insights clearly to technical and non-technical audiences.
  • Promote data literacy by helping colleagues understand and use analytical tools.
  • Share best practices in data analysis, visualization, and reporting.
  • Contribute to documentation and training to enhance organizational analytics maturity.
  • Dedicate a portion of time to cross-team projects that enhance company-wide data capabilities.

Desired Qualifications

  • A bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field.
  • Experience with big data technologies and cloud platforms.
  • Knowledge of machine learning and artificial intelligence.
  • Previous experience in high-growth startup environments.
  • Familiarity with data modeling using statistical algorithms.
  • Experience building automated testing and monitoring systems.

About the Company

GoTymeX

Builds the software behind digital banks

GoTymeX builds digital banking products for consumers and small businesses through GoTyme's banks and financing operations in emerging markets. Its design, engineering and data teams create the customer applications and underlying systems used for accounts, payments, credit cards and loans. The hub supports banks in South Africa and the Philippines and financing businesses in Indonesia and Hong Kong, adapting technology to different local banking requirements. Its products combine mobile services with physical customer access through the banking group's retail partnerships. Established in 2016, GoTymeX is headquartered in Ho Chi Minh City, Vietnam.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Ho Chi Minh City, Vietnam
Founded
2016

Recently Posted Jobs

Explore more opportunities at GoTymeX

See more jobs