Job Description:

Participate in business analysis, working with clients/internal stakeholders to gather requirements and understand business problems
Analyze current processes, identify data sources and data needs for analysis
Collect, consolidate, and clean data from multiple sources (databases, files, internal systems, etc.)
Involve in the end-to-end data process: data collection → cleaning → processing → analysis → visualization
Contribute to building and standardizing data structures for analytics (Data Warehouse / Data Mart) Perform data analysis to derive insights that support business and operational decision-making
Design and develop dashboards/reports using BI tools (Power BI, Tableau, etc.)
Present analysis results and support non-technical users in understanding and utilizing data effectively
Collaborate with Data Engineers to improve data quality and data systems
Proactively conduct analysis, generate insights, and propose improvements
Participate in or support working with stakeholders to ensure high-quality deliverables
Contribute to building and standardizing documentation and data-related processes

Requirements:

1.5–4 years of experience in Data Analyst / BI / Business Analyst or related roles
Strong SQL skills (JOIN, GROUP BY, basic data processing)
Experience or familiarity with BI tools (Power BI, Tableau, Superset, etc.)
Experience in collecting, cleaning, and processing data from multiple sources
Strong data mindset: ability to ask the right questions, understand business goals, and proactively derive insights from data
Not limited to reporting/dashboarding – ability to analyze data and generate actionable insights
Ability to work with cross-functional teams to understand business requirements
Strong communication skills, with the ability to present and explain data to non-technical stakeholders
Logical thinking, attention to detail, and problem-solving mindset
Willingness to work across the full data lifecycle: data → analysis → visualization Proactive, responsible, and team-oriented
Comfortable working with messy, real-world data

Competitive salary (negotiable based on experience and performance)
13th-month salary and additional bonuses per company policy
Bonuses on major holidays (April 30, Sep 2, Lunar New Year, New Year, etc.), birthday, and other occasions
Performance review every 6 months, with salary adjustments based on contribution
Full statutory insurance + premium healthcare insurance (BSH)
Annual health check-up, company trips, and holidays Monthly teambuilding and internal activities
Flat organizational structure, promoting ownership and autonomy
Open, collaborative, and innovation-driven working environment
Opportunities to join internal tech talks, seminars, and AI-related workshops