Senior Pricing Data Analyst - SnappBox

Job description

About Snapp
Snapp is the pioneer provider of ride-hailing mobile solutions in Iran that connects smartphone owners in need of a ride to drivers who use their private cars offering transportation services. We are ambitious, passionate, engaged, and excited about pushing the boundaries of the transportation industry to new frontiers and be the first choice of each user in Iran.

About the position
This role coordinates the efforts to find the most optimal pricing strategies and execute them based on business needs. They use data analytics to understand the underlying demand and supply imbalance pattern. This role also actively suggests new/improved product developments on pricing and dispatching functions and how a new/improved product has impacted the business.


  • Extracting data from primary and secondary sources using automated tools involves accessing various databases or web sources containing relevant data for the analysis.
  • Covering pricing monitoring shifts ensures business metrics remain healthy and react accordingly.
  • Cleaning and validating data for accuracy and quality: This involves removing corrupted or incomplete data, fixing coding errors or formatting issues, checking for outliers or anomalies, etc.
  • Developing and maintaining databases and data systems: This involves organizing data in a structured and accessible format that can be easily queried or updated.
  • Analyzing data using statistical methods and software: This involves applying descriptive or inferential statistics to summarize or test data patterns, trends, relationships, etc.
  • Creating reports and dashboards to visualize and communicate findings: This involves using graphs, charts, tables, maps, etc., to display data results in an appealing and informative way that different audiences can understand.
  • Plan and run pricing A/B tests to improve key KPIs
  • Provide new detailed reports and maintain current pricing reports to ensure day-to-day business performance is running smoothly
  • Work on new features for pricing and dispatching
  • Enhancing data collection procedures to include information that is relevant for building analytic systems


    • The ability to collect, organize, interpret, and draw conclusions from data using mathematical and statistical methods.
    • The ability to ensure data accuracy and quality by identifying and correcting errors and inconsistencies.
    • Solving data-related challenges and issues using logical reasoning and creativity.
    • Covering pricing monitoring shifts ensures business metrics remain healthy and react accordingly.
    • The ability to clearly and concisely present and explain data findings and insights using verbal, written, and visual methods.
    • Proficiency in using various applications and platforms that enable data extraction, manipulation, analysis, visualization, and reporting. Some common ones are SQL, Excel, Python, R, Tableau, etc.
    • Performing exploratory data analysis and hypothesis testing using statistical methods and tools
    • Creating reports and dashboards to visualize and communicate data findings and recommendations to internal and external stakeholders
    • Supporting data-driven decision-making across various pricing team functions
    • 2-3 years of experience in related fields
    • Pursuing a degree, a BA/MS in MBA, industrial engineering