Data Analyst at Nium analyzing transaction and risk data. Leveraging SQL and analytics to translate insights into risk rules and operational decisions.
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.
Requirements
- 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
Benefits
- 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)
Job title
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