Founded in 2018, Marti is Türkiye’s leading mobility app, offering multiple transportation services to its riders. Marti operates a ride-hailing service that matches riders with car, motorcycle, and taxi drivers, and operates a large fleet of rental e-mopeds, e-bikes, and e-scooters. All of Marti’s offerings are serviced by proprietary software systems and IoT infrastructure.

Marti's vision is that everything on wheels will be electric and everything electric will be shareable. Since 2019, we have experienced significant growth and maintained robust unit economics year-round. Our goal is to expand our urban transportation services, introduce new environmentally sustainable and shared mobility options, and leverage our existing scale and customer base to offer technology-enabled services beyond transportation. By pursuing sustainable growth, we strive to positively impact the communities we serve and make a meaningful impact on the future of mobility.

Marti invites applications from dynamic, innovative and highly motivated candidates for the following position;

Responsibilities:

• Collaborate with our product teams and business stakeholders to enable data-driven decision making.
• Guide product and strategic decisions with experimentation and in-depth analyses.
• Extract, manipulate and visualize data to find and understand patterns.
• Conduct statistical analysis to extract insights from the data and communicate findings.
• Develop data models, define frontend and backend tracking events and transform those into insights.
• Build action-oriented dashboards that help teams make data-driven decisions.
• Working closely with our scientists and BI analysts.

Requirements:

• M.S. or Bachelor's degree in (MIS, Statistics, Economics, Mathematics, Engineering, Computer Science, or other quantitative fields).
• Proficiency in SQL - able to write structured and efficient queries on large data sets.
• Experience using business intelligence and data visualization platforms (e.g., Quicksight, Tableau, Looker).
• Familiarity with solving data extraction and analysis related challenges in programming languages, such as Python or R.
• Deep, practical understanding of statistical analysis techniques.
• 3+ years of experience in data analytics.
• (Nice to have) Advance knowledge on Python.
• (Nice to have) You have rolled-out a product analytics solution (Google Firebase) fostered adoption across an organisation.
• (Nice to have) Knowledge of experimental design, A/B testing, metric design and development.
• (Nice to have) Experience applying statistical techniques to business problems and driving results; linear and logistic regression.