AI Summary
Join inDrive's Marketplace Efficiency team as a Middle Product Analyst. Improve delivery marketplace efficiency and optimize product performance through data-driven decision making. Collaborate with Data Department teams to optimize data flows and create product-specific data marts.
Key Highlights
Research and evaluate algorithms for order distribution and pricing mechanics
Maximize marketplace efficiency and identify growth opportunities
Conduct A/B tests and collaborate with Data Department teams
Technical Skills Required
Benefits & Perks
Stable salary
Health insurance
Hybrid work mode
Flexible schedule
Relocation package
Professional counseling services
Discount club membership
Internal training programs
Paid additional training courses
Job Description
We are looking for a talented Middle Product Analyst to join our Marketplace Efficiency (Delivery) team. This role is crucial for improving the efficiency of our courier delivery marketplace and optimizing product performance through data driven decision making.
Responsibilities
- Research, refine, and evaluate algorithms for order distribution among couriers and pricing mechanics;
- Maximize marketplace efficiency, focusing on free auction mechanics;
- Generate and validate hypotheses to identify growth opportunities and explain findings to business stakeholders;
- Investigate significant deviations in key metrics and identify growth points and product development directions;
- Conduct A/B tests: participate in designing experiments and interpreting results;
- Collaborate with Data Department teams to optimize data flows, ensure data quality and integrity, and create product specific data marts.
- 2 years of experience in data analytics or data science.
- Strong analytical mindset with structured and critical thinking, and the ability to balance resource investments with business impact.
- Solid mathematical background, especially in statistics, discrete optimization, and causal inference.
- Proficiency in Python and relevant data analysis libraries.
- Advanced skills in SQL, including working with large datasets, writing and optimizing complex queries, and creating analytical data marts.
- Experience with BI tools like Plotly, Redash, or Tableau.
- Familiarity with developing interpretable ML models is a plus.
- Stable salary, official employment;
- Health insurance;
- Hybrid work mode and flexile schedule;
- Relocation package offered for candidates from other regions;
- Access to professional counseling services including psychological, financial, and legal support;
- Discount club membership;
- Diverse internal training programs;
- Partially or fully payed additional training courses;
- All necessary work equipment.