Responsibilities

Requirements Gathering & Solution Design: Partner closely with business departments and system integration project teams to elicit, analyze, and clarify business and data requirements; propose effective data exploitation and integration solutions to drive business value.
Data Product Ownership: Act as the main Product Owner for end-to-end data initiatives, taking full accountability for the implementation, maintenance, and continuous optimization of data products.
Bridge Business & Data Architecture: Serve as the Data BA in cross-functional projects, seamlessly translating business requirements and domain logic into technical data warehouse requirements.
Ad-hoc Data & Reporting Support: Streamline and fulfill ad-hoc data requests and reports for various departments and project teams (minimal frequency as routine reporting is already handled by the core BI team).
Data Quality & Documentation Management: Maintain up-to-date data dictionaries, business process and data mapping documentation, and conduct thorough validation/testing to ensure high data quality and integrity.
Data Governance Compliance: Maintain comprehensive requirement specifications and ensure all data processes strictly adhere to the company's overall data governance policies.
Ability to communicate with non-technical/ technical peers.

Qualifications & Experience

Minimum 4–5+ years of experience as a Data Business Analyst, Analytics Engineer, Data Analyst, or in a similar role with a proven track record of bridging the gap between business and technology.
Strong experience working with Data Warehouse (DWH) systems, understanding concepts of data warehousing, data marts, ETL/ELT processes, and star/snowflake schemas.
Proven experience in Data Governance practices, including building and maintaining data dictionaries, data lineage, and ensuring data quality control.
Prior experience in the F&B, Retail, or E-commerce sectors is highly preferred (handling data from POS, CRM, ERP, loyalty apps, etc.).

Technical & Analytical Skills

Advanced SQL proficiency: Ability to write complex, optimized queries to analyze, validate, and troubleshoot data issues directly in the database.
Strong understanding of Data Modeling concepts and the ability to map business logic into data structures.
Familiarity with modern data tools and stack (e.g., dbt, Airflow, or cloud Warehouses like Redshift/BigQuery/ClickHouse) is a plus.
Solid command of Data Visualization tools (Power BI, Tableau, or Superset) to understand how data is presented, though routine report creation is minimal.
Basic knowledge of Python or R for data manipulation/automation is a strong plus.

Benefits

Competitive compensation package, commensurate with qualifications and experience.
13th and 14th month bonus subject to the Group's business performance.
Working schedule from Monday to Friday, with flexible check-in hours. We value productivity and outcomes over face time.
Full participation in mandatory social insurance, health insurance, and unemployment insurance in accordance with Vietnamese labor laws.

Senior Data Business Analyst