About the company
We’re looking for a Data Analyst who’s excited to dig into the numbers, uncover insights, and help the business make smarter decisions. In this role, you’ll partner with teams across the company to understand their questions, explore the data, and turn your findings into clear, practical recommendations.
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 accuracy, consistency, and reliability of data 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 on 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 KPI tracking tools to monitor business performance.
- Design and execute experiments (e.g., A/B tests) to evaluate initiatives.
- Present insights clearly and compellingly to technical and non-technical audiences.
- Promote data literacy by helping colleagues understand and leverage 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.
Requirements
- Strong SQL expertise including complex queries, CTEs, window functions, and optimization.
- Proficiency in Python or PySpark for data manipulation and analysis.
- Solid foundation in statistical analysis, hypothesis testing, and experimental design.
- Experience with BI tools (Looker preferred, Tableau, or similar).
- Experience with Databricks.
- 2+ years experience in financial services, fintech, or banking environment.
- Understanding of credit risk, lending products, and regulatory requirements.
- Knowledge of GDPR and data governance.
- Experience with customer lifecycle analytics and retention strategies.
- Business Judgment: Ability to make strategic and operational decisions using data.
- Problem-Solving: Tackle complex problems involving business, regulatory, and operational variables.
- Communication: Exceptional ability to influence stakeholders and present data convincingly.
- Collaboration: Experience working cross-functionally with non-technical teams.
Conditions
- Meal and parking allowance are covered by the company.
- Full benefits and salary rank during probation.
- Insurances as Vietnamese labor law and premium health care for you and your family without seniority compulsory.
- Performance bonus up to 2 months.
- 13th month salary pro-rata.
- 15-day annual leave + 3-day sick leave + 1 birthday leave + 1 Christmas leave.
- SMART goals and clear career opportunities (technical seminar, conference, and career talk) – we focus on your development.
- Values-driven, international working environment, and agile culture.
- Overseas travel opportunities for training and working related.
- Internal Hackathons and company’s events (team building, coffee run, blue card…).
- Work-life balance 40-hr per week from Mon to Fri.