CRM Analyst

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 this Role
As a Data Analyst, you will play a crucial role in driving data-driven decision-making within our organization. You will collect, process, and analyze data to identify trends, patterns, and opportunities that can inform strategic initiatives and operational improvements.


Responsibilities

• Understanding business objectives and designing data analysis plans to support them
• Collecting and processing data from multiple sources using SQL queries
• Creating data visualizations and reports to effectively communicate findings to non-technical audiences
• Building and maintaining reporting solutions based on business requirements
• Performing exploratory data analysis to identify trends, patterns, and relationships in the data
• Developing and maintaining documentation of analytical processes and experiments
• Conducting ad-hoc data investigations when necessary
• Designing, building, and maintaining ML models, A/B experiments, and analyses to inform data-driven decisions
• Maintaining effective communication with teammates and other internal departments to ensure proper data communication and addressing concerns

Requirements

•  Bachelor's or Master's in Computer Science, Management of Information Systems, Computer Engineering, Industrial Engineering, Mathematics/Statistics, or a related field
• Strong proficiency in using various applications and platforms for data extraction, manipulation, analysis, visualization, and reporting
• Advanced skills in SQL databases and query languages
• Experience with MS Excel and A/B testing
• Advanced Python skills, including proficiency with Data Science and visualization libraries.
• Advanced understanding of Machine Learning (ML) and Data Science (DS) concepts
• Experience with data science projects, including data collection, analysis, and reporting
• Well-developed ability to communicate effectively in English, both verbally and in writing
• Ability to work under pressure in a fast-paced and rapidly changing environment