The Company

Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience.

At Toters, technology is at the heart of everything we do. We have product teams that are working hard every day to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now.

Role

Toters has quickly established itself as the industry leader in food delivery in Lebanon and is growing rapidly in Iraq. Leveraging its excellent brand, logistics infrastructure and technical solutions, Toters has quickly moved to adjacent markets including grocery fulfillment, fintech, and digital asset solutions, with more to come.
All these verticals and how they interact with each other make it very important for both management and the people at the front lines (and everyone in between) to have fast and clear access to information. This is where the Data team (and you) come in.

Description
In this role we are looking for people who are passionate about Toters’ mission and are excited to utilize their data analysis skills in bringing actionable data to those who need it most.
Your impact on the business will be felt across all levels of the organization, and you will be joining a talented data analytics team that has already had a profound impact on the business operations of the company. In this role, you will:

• Analyze large datasets to extract meaningful insights and help make data-driven decisions.
• Write SQL queries to extract and transform data from various sources.
• Utilize Python for data analysis, data visualization, and automation tasks.
• Create clear and informative reports and dashboards for key stakeholders.
• Clean and preprocess data to ensure its accuracy and integrity.
• Apply fundamental computer science concepts to solve data-related challenges.
• Work closely with cross-functional teams to understand business requirements and provide analytical support.

Qualifications

• Bachelor’s degree in a relevant field (Computer Science, Data Science, Statistics, etc.) or equivalent practical experience.
• Proficiency in Python for data analysis and manipulation.
• Strong understanding of SQL for data extraction and analysis.
• Solid knowledge of computer science fundamentals.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.
• Eagerness to learn and adapt to new challenges.