DATA ANALYST

About Vexere 

Vexere is Vietnam’s leading technology company in travel and transportation, and the largest online bus ticketing platform with over 2,000 transport partners and 3,000+ domestic and international routes. Beyond buses, we’ve expanded to airlines, trains, and vehicle rentals making it easier for millions of travelers to search, compare, and book tickets with convenience and transparency.

Our Culture & Vision At Vexere

We believe businesses exist to solve real societal challenges. Our culture is built on community, openness, and mutual support, where every team member is encouraged to share ideas, shape strategies, and grow into future leaders. We foster a learning-driven environment and leverage cutting-edge technology and AI to continuously innovate not only transforming the way people travel, but also redefining how businesses operate across Southeast Asia.

About the Team

The BI team at Vexere connects data, technology, and business decisions across the company. We support Product, Business, and Operations teams across our SaaS, OTA, and Ecommerce businesses, working with one of the largest data lakes in Vietnam covering 30M+ users and millions of daily transactions, to help every team make data-driven decisions. We value strong logical thinking, ownership, and data-informed decision-making. 

About the Role

As a Junior Data Analyst at Vexere, you will turn raw data into clear, actionable insights that guide day-to-day business decisions. You’ll collaborate with senior analysts and the teams in your assigned product line to collect and clean data, explore trends, and design dashboards that highlight key performance metrics. This role is ideal for someone curious, structured, and eager to grow in data analytics. We value strong analytical thinking, ownership, communication skills, and sharp problem-solving skills. 

JOB DESCRIPTION

Analytics & Insights

• Requirement Framing: Work with the teams in your product line to turn open-ended business questions into clear analyses that drive real decisions across our SaaS, OTA, and Ecommerce businesses. 
• Trend & Anomaly Analysis: Dig into unexpected shifts in the numbers (e.g., a sudden drop in conversions, an unusual spike tied to a campaign or season) and work out what’s really driving them.
• Data Preparation: Prepare data collection plans, clean and organize data to ensure accuracy and consistency.

Dashboards & Reporting

• Dashboard Ownership: Build and maintain dashboards (Data Studio, Metabase) that track key metrics for your product line enjoy working on key projects such as pricing, promotions, and operations, dealing with large datasets.
• Reporting Best Practices: Learn and apply data visualization and reporting standards used across the BI team.

Domain Partnership

• Cross-functional Execution: Partner directly with Product, Marketing, Sales and Customer Experience within your product line to turn analysis into decisions they can act on.
• Data Reliability: Flag data quality or consistency issues to the wider BI team, so metrics stay reliable and aligned across product lines.

REQUIREMENTS

Must-Have

• Around 1 year of experience in data analysis. Talented freshers with less than one year of working experience are warmly welcomed
• Proficiency in SQL (BigQuery, Microsoft SQL Server, PostgreSQL, etc.), with solid data processing and logical structuring ability. 
• Familiarity with visualization tools (Data Studio, Metabase, Power BI, etc.)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Proficiency in queries, report writing, and presenting findings
• Non-stop curiosity and hunger for learning
• Teamwork spirit and proactive mindset
• BSc/BA in Data Science, Business Analytics, Economics, Mathematics, Information Management, Statistics, or a related field is greatly appreciated

Preferred Qualifications

• Exposure to data modeling concepts (e.g., dbt) or analytics engineering practices
• Familiarity with experimentation/A-B testing concepts
• Background in marketing analytics or business intelligence within technology-driven organizations; experience in Ecommerce, SaaS, or Travelling domains is a plus 
• Basic proficiency in Python for data manipulation
• Hands-on experience with advanced AI tools, LLMs, or agentic AI systems

BENEFITS

At Vexere, we look for “right people” those with logical thinking, a positive and consistent mindset, curiosity for new things, active listening, humility, and a strong sense of responsibility. Alongside this, we strive to continuously enhance the quality of life for our team with the following benefits:

Compensation

• Competitive salary based on capabilities + Quarterly KPI performance bonus.
• Salary review twice a year.
• Clear promotion path aligned with your strengths, with opportunities to move into key positions.

Other Benefits

• Full participation in social, health, and unemployment insurance as per regulations; official contract after probation.
• 12 annual leave days/year; +1 additional day every 3 years; leave can be carried over for 2 years or converted to cash.
• Annual general health check.
• Discounted bus ticket policy for employees.
• Personal loan and salary advance policy.
• Sick leave, maternity, and bereavement policies.
• Employee referral bonus.

Working Hours

• Hybrid working model (flexible between office and home).
• Working hours: 8:30 AM – 6:00 PM, Monday to Friday + Saturday mornings.

Team Activities

• Access to company sports clubs.
• Monthly team-building activity budget.
• Company trips, team building events, year-end parties.
• A youthful, dynamic office culture: a healthy, open, and supportive working environment with passionate young professionals.

Learn more about us: Review về Vexere

For more information, please contact us via:

For more information, please contact our HR Department:

• Email: careers@vexere.com
• Phone/Zalo: 0966 197 741 (Nhật Anh)
• Workplace: CirCO Hoang Dieu – H3 Building, 384 Hoang Dieu, Khanh Hoi Ward, HCMC (District 4)

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