Data Analyst - Commercial

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.


Job description

Many critical business parameters are determined in the commercial team or are determined considering commercial team insights. As a result, we need to have a clear overview of business performance and well-prepared reports in order to make agile decisions on what business parameters should be. You will be responsible for gathering different teams need for handling business performance, collaborating with them on creating reports, and utilizing your skills to automate the processes.

Responsibilities

  • Manipulate large amounts of data, extract key insights and communicate actionable recommendations based on your insights.
  • Develop dashboards by understanding business needs, interpreting the integrated data, and translating this into usable visualizations to derive business decisions, interpret results, and how to utilize the dashboards.
  • Study monitoring processes in order to understand their deficiencies, and collaborate with the relating team to find solutions to improve their performance based on regular feedback.
  • Assist various teams in deeply understanding their shortcomings in data analysis, generating ideas or hypotheses and validating them, and finally developing and implementing solutions.

Requirements

  • Advanced data analysis skills with Python (familiarity with developing and automating processes using python is a plus).
  • Requires medium-level knowledge of relational databases and query tools.
  • Ability to communicate orally and in writing in a clear and straightforward manner.
  • Detail-oriented, self-motivated, proactive, and results driven.
  • Familiarity with Machine learning algorithms and Linux operating system is a plus.