About the role

Data Analyst role focused on analysis and storytelling to drive business decisions at Qode. Engaging with teams to deliver actionable insights and improve data structuring.

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.

5+ years of experience in data analysis
Programming: Strong SQL expertise including complex queries, CTEs, window functions, and optimization
Languages: Proficiency in Python or PySpark for data manipulation and analysis
Statistics: Solid foundation in statistical analysis, hypothesis testing, and experimental design
Data Visualization: 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

Meal and parking allowance
Full benefits and salary rank during probation
Performance bonus up to 2 months
13th month salary pro-rata
Insurances as Vietnamese labor law and premium health care for employees and family members
15-day annual leave+ 3-day sick leave + 1 birthday leave + 1 Christmas leave
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 (hybrid)