[HCM] Data Analyst/ Data Scientist (BI Engineer)

Job Scope
We are looking for a BI Engineer to own and operate our Power BI reporting and semantic layer, ensuring reliable data delivery, fast issue resolution, and scalable analytics for business users across multiple markets (Vietnam, Hong Kong, Taiwan).
Job Responsibilities
Power BI Platform Ownership & Support:
Own day-to-day operations of the Power BI environment, including:
+ Datasets, semantic models, refresh schedules, and workspace structure, official reports
+ Access control and user troubleshooting (Viewer/Contributor/SSAS permissions, etc.)
Act as first or second-line support for Power BI-related incidents:
+ Data mismatch, refresh failures, performance issues, missing data
+ Coordinate with Data Engineers when root cause is upstream
Proactively monitor dataset refresh health, capacity usage, and performance bottlenecks.
Reporting and Dataset Development:
Design, build, and maintain Power BI reports and datasets based on business requirements from various functions.
Develop and maintain: data models, DAX measures, calculation logics
Ensure reports are:
+ Performant at scale (large datasets, multi-market)
+ Easy to use and well-documented for business users
Data Pipeline Collaboration:
Collaborate closely with Data Engineers on pipelines feeding Power BI
+ BigQuery/ Azure Data Factory/ SQL procedures transformation logic
+ Incremental loads, SCD logic, aggregation tables
Maintain consistency between
+ Data medallion layers
+ Semantic models
+ Power BI datasets and reports
SSRS Maintenance
Support partitioning, incremental refresh strategies, and historical backfills when needed
Participate in pipeline debugging during incidents (Airflow / ADF context)
Suggest modeling or pipeline adjustments to improve report performance or data availability SLAs
Incident Management & Continuous Improvement
Participate in incident triage
+ Identify whether issues are data, model, or visualization related
+ Provide clear root cause analysis and remediation steps
Help define and improve
+ Help define and improve
+ Naming conventions, dataset standards, and documentation
+ Contribute to CAB / change management processes where BI impact is involved
Requirements
Education:
Bachelor's in Data Science, Computer Science, Statistics, Mathematics, Business Analytics or a related field.
Experience:
1-3 years proven experience as a Data Analyst or similar role, preferably in the Retails, F&B or FMCG industry.
Familiarity with database management systems, data manipulation, and data cleaning techniques.
Familiarity with below Tech Stacks:
Python
PowerBI
SQL/ Non-SQL
Data science stack - Pandas, Numpy, visualization packages, SciPy, Scikit Learn, Tensorflow, etc.
Version control with git
Google Cloud Platform
Knowledge/ Skills:
Understanding of statistics, probability, and data analysis techniques that are foundational to interpreting data sets
Strong problem-solving skills and ability to think critically
Excellent communication & presentation skill
Strong collaboration and stakeholder-management capabilities
Ability to work independently and collaboratively using Scrum methodology.
Good command of English
Cantonese & Mandarin capability is a plus
Benefit package:
Working time: Monday to Friday | 9:00 AM to 6:00 PM or 8:00 AM to 5:00 PM
13th-month salary, performance bonus
Hybrid Work Policy applied
16 days annual leave + 6 paid sick leave
Health Insurnace, PVI Healthcare extra, Annual health check
Learning & Training opportunity
Caring policies, supportive and employee-centric work environment
Other employee engagement activities