Data Specialist

Company Overview:

MOOVTEK is a fast-growing ride-hailing platform operating in Vietnam, offering: Bike, Car, and CarPool. With more than 1,000,000+ trip requests processed and a rapidly expanding user base, MOOVTEK is transitioning into a fully data-driven organization. We are building a strong Data function to optimize marketplace performance, improve pricing, strengthen fraud prevention, and support executive decision-making at scale. We are looking for a Senior Data Analyst to lead this transformation.

Job Description:

We are seeking a skilled and analytical Data Specialist to join our team. The successful candidate will be responsible for collecting, analyzing, and interpreting large datasets to help drive strategic decision-making. You will work closely with various departments to understand their needs and provide data-driven insights to improve business outcomes.

Key Responsibilities:

• Define and execute MOOVTEK's overall data and analytics strategy
• Establish KPI frameworks, metric governance, and data quality standards
• Build and mentor a high-performing Data team
• Define hiring roadmap, team structure, and performance expectations
• Foster a culture of ownership, accountability, and data-driven decision-making

• Analyze supply-demand dynamics across services (Bike, Car, CarPool)
• Optimize unit economics, pricing models, and service-level profitability
• Lead pricing experiments and performance monitoring
• Identify growth, retention, and operational efficiency opportunities
• Provide strategic recommendations balancing growth and margin

• Design and implement fraud detection and risk monitoring frameworks
• Detect and mitigate risks
• Define risk scoring systems and action policies
• Quantify fraud loss and measure impact of prevention initiatives

• Deliver actionable insights to Product, Operations, Marketing, and Finance
• Develop executive dashboards and reporting cadence
• Lead experimentation (A/B testing) and impact evaluation
• Support strategic planning and scenario analysis

• Define data architecture roadmap (warehouse, pipelines, real-time vs batch processing)
• Collaborate with Engineering to ensure scalable and reliable data systems
• Improve event tracking, instrumentation, and data collection standards
• Ensure data integrity, security, and compliance

Requirements:

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. A master's degree is a plus.
• At least 3 years of experience in data analysis, preferably in a business or analytics environment.
• Proficiency in data analysis tools and languages such as SQL, Python, R, or similar.
• Experience with data visualization tools like Tableau, Power BI, or Looker.
• Familiarity with statistical analysis and modeling techniques.
• Knowledge of data warehousing concepts and tools.
• Able to work in a fast-paced environment.
• Agile and adaptable to changes.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Detail-oriented with a strong focus on accuracy and quality.
• Ability to manage multiple projects and deadlines effectively.

Benefits:

• Work from home 1 day a week (Optional).
• Bonus: 13th month salary annually.
• Performance bonus: based on KPIs.
• 15 paid leave days per year.
• Review annually and adjust salary increase based on work performance.
• Competitive salary package based on experience and qualifications.
• Full benefits as per company policy, including health insurance, social insurance, and other statutory benefits.
• A dynamic and creative work environment that supports personal and professional growth.
• Opportunities to work on impactful projects that reach millions of users.
• Startup environment, young, dynamic, work hard, play hard; 
• Working time: 5 days/week and flexible according to job positions.