Data Analyst

ABOUT CLIENT

Our client is using new technology to develop products for the banking industry

JOB DESCRIPTION

Gather, sanitize, and evaluate data from diverse origins to meet business requirements.
Construct and maintain fundamental analytical datasets and reports for different teams.
Validate and verify data to uphold accuracy, consistency, and dependability.
Apply statistical and analytical methods to identify patterns and potential opportunities.
Work closely with business stakeholders to grasp needs and provide actionable insights.
Carry out thorough analyses of customer behavior, product usage, and market trends.
Translate intricate data findings into clear, influential recommendations for business strategies.
Support data-informed decision-making across various teams including marketing, operations, finance, and product teams.
Create dashboards and Key Performance Indicator (KPI) tracking tools for monitoring business performance.
Devise and conduct experiments (e.g., A/B tests) to evaluate initiatives.
Deliver insights in a clear and convincing manner to both technical and non-technical audiences.
Encourage data literacy by aiding colleagues in understanding and utilizing analytical tools.
Share best practices in data analysis, visualization, and reporting.
Contribute to documentation and training to elevate organizational analytics proficiency.
Allocate time to cross-team projects aimed at enhancing company-wide data capabilities.

JOB REQUIREMENT

Advanced proficiency in SQL, 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) for data visualization
Experience with Databricks
Minimum of 2 years of 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
Strong business judgment with the ability to make strategic and operational decisions using data
Exceptional problem-solving skills to address complex problems involving business, regulatory, and operational variables
Effective communication skills to influence stakeholders and present data convincingly
Experience working cross-functionally with non-technical teams
Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or related quantitative field
Experience with big data technologies and cloud platforms
Knowledge of machine learning and AI
Previous experience in high-growth startup environments
Familiarity with data modeling using statistical algorithms
Experience in building automated testing and monitoring systems

WHAT'S ON OFFER

Company offers meal and parking benefits.
Full benefits and probationary salary provided.
Insurance coverage as per Vietnamese labor law and premium health care for employees and their families.
Work environment is values-driven, international, and agile in nature.
Opportunities for overseas travel related to training and work.
Participation in internal Hackathons and company events such as team building, coffee runs, and blue card activities.
Additional benefits include a 13th-month salary and performance bonuses.
Employees receive 15 days of annual leave and 3 days of sick leave per year.
Work-life balance with a 40-hour workweek from Monday to Friday.

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Data Analyst

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Job ID:

J02010

Status:

Active

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