Data Analyst

Department / Division: Data Solutions and Analytics Department - Information Technology Division
Reports To: Department Manager
JOB RESPONSIBILITIES
The Data Analyst / Analytics Engineer is responsible for building, standardizing, and delivering data to support analytics, enabling data-driven decision making.
Collaborate closely with cross-functional teams and Business Analysts (BA) to understand requirements, collect, analyze, and propose data solutions.
Build, manage, and visualize data on platforms such as Power BI and Apache Superset to support analysis, process optimization, and business improvements.
Design and develop data models, and build & maintain datasets.
Optimize SQL queries, reports, and reporting workflows; collaborate with Data Engineers to manage pipelines and implement updates.
Provide training and guidance to relevant departments on using datasets and reports for data analysis.
JOB REQUIREMENTS
Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, Accounting, Business Administration, or an equivalent field.
Minimum 3+ years of experience in Data Analytics / Analytics Engineering.
Strong experience in data modeling and understanding of Data Warehouse (DWH) design methodologies (Kimball vs. Inmon).
Hands-on experience in building Data Warehouse and Data Mart; solid understanding of OLAP vs. OLTP; experience with DIM/FACT tables, SCD types, and schema designs (Star, Snowflake, Galaxy).
Experience with BI tools such as Power BI (Power BI Service, Power BI Report Server, SSRS), Apache Superset, Tableau, etc.; proficiency in DAX, building measures, and strong data visualization skills.
Proficient in SQL; working knowledge of R/Python (e.g., Pandas, Matplotlib) for data analysis (data profiling, etc.) and automation.
Experience with Data Pipeline/ETL and DBT; familiarity with high-performance data formats in Lakehouse architectures (e.g., Iceberg, Delta, Hudi).
Experience with technologies/services such as Athena, Redshift, BigQuery, ClickHouse is a plus.
ATTACTIVE BENEFITS & COMPENSATION PACKAGEA
Project/Environment: Join one of Vietnam's largest Core Banking Transformation Projects, handling up to 1 billion transactions per day, full cloud Services. Work in a modern, technology-driven environment leveraging Cloud-native, DevOps, Microservices, and CI/CD practices. Learn directly from international technology experts and participate in strategic digital banking initiatives.
Career path: Have aclear career development roadmap with opportunities to advance to Leader or Expert roles in the Digital Data Banking domain.
Learning & Development: support for professional training courses and international certification exams.
Compensation: Competitive salary package: 40-48M Gross (Senior), 30M -38M (Middle) x 14-15 months/year.
Performance-based bonuses: business results, individual performance, innovation, responsibility, etc.
Health insurance & wellness: GPBankCare GOLD package (provided by Bao Viet Insurance) extended to employees and family members.
Annual company trip and vacation allowance
Holiday & special occasion bonuses (National holidays: Sept 2nd, Apr 30th, Hung Kings' Festival, birthdays, weddings, birthday,etc.)
WORKING HOURS AND LOCATION
Working Hours: Standard working hours: Monday - Friday (flexible start time: 8:00 / 8:30 / 9:00) and Saturday mornings per month (8:00-12:00)
Work Locations: 18 Phạm Hung, Tu Liem, Ha Noi (New GPBank Technology Headquarters)
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