Saturday to Wednesday 9 A.M. to 6 P.M.
-
Health insurance
-Flexible working hours
-Learning stipends
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201 - 500 employees
Internet Provider / E-commerce / Online Services
توضیحات بیشتر
key Requirements
3 years experience in similar positionBachelor Economics Microsoft SQL Server - Intermediate
Python - Intermediate
Job Description
The Senior Pricing Data Analyst uses data to optimize the platform's pricing strategy, analyzing trends and making strategic recommendations that keep prices competitive, fair, and sustainable for both drivers and riders. The goal is to drive platform usage and business growth while balancing supply and demand health.
Responsibilities
Responsibilities
- Analyze pricing data to optimize strategy, surface new opportunity spaces, and diagnose funnel issues.
- Plan and run pricing A/B tests to improve key KPIs, from hypothesis design through results analysis and rollout recommendations.
- Contribute to new pricing features, partnering with other business and product departments from concept to launch.
- Extract data from primary and secondary sources (internal databases, external/web sources) using automated tools and pipelines.
- Clean and validate data for accuracy and quality.
- Develop and maintain databases and data systems, organizing data into structured, easily queryable formats.
- Enhance data collection procedures to capture information relevant to building and improving analytics systems.
- Cover pricing monitoring shifts to keep core business metrics healthy, reacting quickly to anomalies or degradation.
- Build and maintain reports and dashboards (graphs, charts, tables, maps) that make findings accessible to technical and non-technical audiences alike.
- Maintain existing pricing reports and develop new ones to support day-to-day business performance and decision-making.
- Apply descriptive and inferential statistics to summarize data, test hypotheses, and uncover patterns and relationships.
- 3+ years of experience in a related analytical or data field.
- Strong SQL skills, particularly for extracting and shaping data from large/complex datasets.
- Proficiency in at least one data science programming language (Python preferred), including libraries such as pandas, scikit-learn, and NumPy.
- Solid grounding in the mathematical foundations of statistics, optimization, and experimental design (A/B testing, causal inference).
- Strong data storytelling, able to translate analysis into clear, actionable narratives for varied stakeholders.
- Analytical mindset with sharp critical thinking and problem-solving skills.
- Self-driven, resourceful, and genuinely motivated by the work.
- Nice to have: familiarity with ML concepts and hands-on application of them.
- Nice to have: academic background in Economics.
- Comprehensive health, dental, and vision insurance
- Opportunities for professional growth and development
- A collaborative and innovative work environment
- Learning budget
- Transportation discount and voucher
- Organizational food discount
- Hybrid and flexible working hours
Job Requirements
Age
21 - 35 Years Old
Gender
Men / Women
Education
Software
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