Analytics Engineer

About This Role:
We are seeking a passionate Analytics Engineer to join our mission of revolutionizing financial services and freeing people from complexity. You will act as a bridge between our business needs and data infrastructure, helping all team members properly and efficiently use data in their processes. This role is crucial for maintaining our customer-centric, data-driven culture that challenges traditional banking.

Key Responsibilities:
1. Data Infrastructure & Modeling

• Design, build, and maintain ETL/ELT pipelines to transform raw data into "analytics-friendly" formats
• Develop core datasets that serve as canonical sources of truth across the organization
• Implement data governance practices and ensure data quality standards
• Optimize data architecture to support rapid business growth and scaling

2. Business Partnership & Strategic Analysis

• Collaborate directly with business stakeholders to understand their needs and translate them into technical solutions
• Conduct deep-dive analyses on customer behavior and product performance
• Drive data-driven decision making across all business domains

3. Analytics & Insights

• Develop statistical models, hypothesis testing, and A/B testing frameworks.
• Create and maintain automated dashboards and KPI metrics.

4. Team Development & Knowledge Sharing

• Act as a data literacy multiplier, helping colleagues improve their analytical capabilities
• Document and promote data best practices across squads
• Spend 20% of time on strategic company-wide data integration projects

Requirements

1. Technical Skills:

• 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. Business & Financial Services

• 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

3. Core Competencies

• 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

*Preferred Qualifications

• Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or related quantitative field
• Experience with big data technologies and cloud platforms
• Machine learning and AI knowledge
• Previous experience in high-growth startup environments
• Familiarity with data modeling using statistical algorithms
• Experience building automated testing and monitoring systems

Benefits

• 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