Senior Data Analyst

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 :

• Identify, design, and implement internal process improvements by automating manual workflows, optimizing data delivery, and redesigning data infrastructure for scalability and performance.
• Design and build robust data infrastructure to efficiently extract, transform, and load data from diverse sources using SQL and AWS-based services.
• Develop, maintain, and scale reliable data pipeline architectures to support both existing and new analytics initiatives.
• Convert large, complex raw datasets into clean, well-tested, and well-documented analytical datasets that enable self-service analytics for analysts, data scientists, and business stakeholders.
• Own the end-to-end development and maintenance of SQL-based data models within the data warehouse, ensuring data quality, consistency, performance, and reliability.

Requirements :

• Strong proficiency in Python with hands-on experience in PySpark for large-scale data processing.
• Advanced SQL skills for data transformation and modeling.
• Practical experience with workflow orchestration tools such as Airflow.
• Hands-on experience with AWS services, including EMR.
• Solid understanding of ETL/ELT design principles and best practices.