Data 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 the role
We are seeking a detail-oriented Supply Data Analyst to enhance supply-side operations and drive decision-making through data insights. This role combines analytical tasks, such as trend analysis and reporting, with daily operational responsibilities on a designated platform. The ideal candidate is organized, proactive, and capable of balancing data-driven projects with recurring tasks to ensure seamless operations and improve supply-side performance. Strong organizational and multitasking skills are essential for success.

Responsibilities:

• Design and execute data analysis plans aligned with business goals.
• Perform daily tasks, apply adjustments, and deliver actionable reports.
• Collect and process data from multiple sources using SQL.
• Create visualizations and reports for both technical and non-technical audiences.
• Document analytical processes and experiments.
• Conduct ad-hoc analyses as needed.
• Ensure availability during holidays for critical tasks.

Requirements: 

• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Software Engineering, Statistics, MBA).
• 1–3 years of experience in data analysis or a related role.
• Proficiency in SQL and data querying.
• Skilled in tools for data extraction, manipulation, analysis, and reporting.
• Experience with MS Excel and Google Sheets.
• Familiarity with data science projects, including collection, analysis, and reporting.
• Ability to thrive under pressure in a fast-paced, dynamic environment.
• Problem-solving mindset with a focus on teamwork, accuracy, responsibility, and meeting deadlines.
• Knowledge of A/B testing and data-driven decision-making processes.