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

Pizza Hut Việt Nam · Ho Chi Minh Office (Văn phòng Hồ Chí Minh), Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Department
Data Analytics (Phân tích dữ liệu)
Salary
Thương lượng
Location
Ho Chi Minh Office (Văn phòng Hồ Chí Minh), Hồ Chí Minh

Overview

  • 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

Benefits

BonusHealthcareTraining

Summary of facts from the official posting. View original ↗

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