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Job Description
Your role & responsibilities
- Analyze and monitor core O2O metrics: booking volume, customer retention, tasker utilization & acceptance rate, completion rate, cancellation reasons, average task value, and online-to-offline service delivery performance.
- Build and maintain insightful dashboards and automated reports (Looker, Tableau, or Metabase) for leadership and cross-functional teams.
- Conduct deep-dive analyses on key business topics such as demand forecasting by service type and city, tasker supply-demand balancing, pricing & incentive optimization, customer acquisition & churn, and service quality.
- Work closely with Data Engineers to ensure data models accurately reflect bTaskee’s business logic (customer-tasker-service-time-location) and to define new metrics or dimensions when needed.
- Support A/B tests and experimentation for new features (e.g., smart matching, subscription plans, or service bundling).
- Identify data quality issues and collaborate with the engineering team to improve data accuracy and completeness.
- Perform geospatial and time-based analysis to optimize tasker allocation and service coverage across districts and cities.
- Present findings and actionable recommendations clearly to both technical and non-technical stakeholders, including senior leadership.
Your skills & qualifications
- Bachelor’s Degree in Statistics, Economics, Business Analytics, Computer Science, or a related quantitative field
- Minimum 3 years of hands-on experience as a Data Analyst
- Strong proficiency with BI and visualization tools (Looker, Tableau, Power BI, or equivalent)
- Advanced SQL - writing complex, optimized queries on very large datasets
- Working knowledge of data modeling - understanding of dimensional modeling (Star/Snowflake schema), fact and dimension tables, and how data is structured for analysis
- Working familiarity with big data concepts and tools - experience querying data warehouses/lakes (Snowflake, BigQuery, Redshift), basic PySpark or Spark SQL, and understanding of partitioned tables, streaming data (Kafka), and ETL concepts
- Python (pandas, numpy) for advanced analysis and automation
- Strong problem-solving skills, product mindset, and ability to make pragmatic technical decisions under time pressure
Benefits for you
- Rewarded based on your experience and skills
- Rewarded based on both your performance and the company’s success
- Unlock growth opportunities every year
- Activities & exciting team-building events
- Get a monthly bTaskee package, freeing up your time for learning, relaxation, and self-care
- Enjoy 12–16 annual leave days per year
- Enjoy top-tier equipment that enhances productivity and makes your daily work easier
- Regular check-ups & a premium health package