Join SnappBox - the largest on-demand last-mile delivery service in the Middle East!
Are you passionate about leveraging data to drive innovation and efficiency? SnappBox is seeking a Senior Data Analyst to join our cutting-edge team. In this role, you'll design and develop experiments such as A/B testing, implement automation solutions, and manage offering topics to optimize our delivery operations. You'll collaborate with cross-functional teams, drive continuous improvement, and ensure compliance with industry standards.
About Us
SnappBox is the leading on-demand delivery service in the Middle East, dedicated to providing fast, reliable, and efficient delivery solutions. Our mission is to revolutionize the delivery industry with innovative technology and a commitment to customer satisfaction. We value collaborative excellence, continuous improvement, and a data-driven mindset to ensure we meet and exceed our customers' expectations.
Key Responsibilities- Translate complex data analysis results into clear, actionable business insights and strategic recommendations to drive operational improvements.
- Design and execute experiments, such as A/B testing, to inform business decisions and validate hypotheses.
- Provide real-time data analysis and rapid solutions during urgent operational challenges, ensuring 24/7 operational resilience.
- Enhance data collection procedures to include information that is relevant for building analytic systems.
- Oversee the data flow and infrastructure necessary for effective analytics, ensuring data integrity and accessibility.
- Work closely with cross-functional teams to align initiatives with organizational goals and ensure seamless implementation.
- Stay current with business trends, suggesting improvements to existing systems and workflows.
- Lead, motivate, and develop team members to achieve their best.
Qualifications- At least 4 years of experience in Python development, data science, software engineering, or data analytics.
- Proven experience in Python development, statistical analysis, and data pipelines.
- Strong analytical skills and proficiency in data analytics tools (Python, SQL, PowerBI, Docker, Redis).
- Strong analytical skills and experience with quantitative data analysis, deep actionable insights, modeling, and advanced test plan design and analysis.
- Excellent problem-solving abilities and attention to detail.
- Ability to work independently and as part of a team.
- Knowledge of logistics operations and systems is a plus.
- Excellent communication and interpersonal skills are a must, with fluency in both Farsi and English.
- Strategic and analytical mindset, with the ability to envision and execute innovative solutions to complex operational challenges.
- Ability to thrive in a fast-paced environment, work under pressure, and meet tight deadlines. 24/7 availability to address urgent issues is essential.
Benefits- Comprehensive health, dental, and vision insurance
- Opportunities for professional growth and development
- A collaborative and innovative work environment
- Learning budget
- Transportation discount and voucher
- Organizational food discount
- Hybrid and flexible working hours
If you are passionate about logistics and analytics and want to be part of a forward-thinking company, we would love to hear from you!