Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
At talabat, we foster an innovative environment where our talabaty employees can strive to create a positive impact across the region through the use of our platform.
As Logistics Performance Analyst, you will influence decision-making through quality and depth of analytical insights based
on data along with recommendations for improvement.
Role Scope
• Help in optimising our performance reporting structure and repeatable process.
• Optimise our KPI dashboard with continuous flow of data.
• Identify and highlight opportunities for performance improvement.
• Develop reporting material in a succinct, visual manner.
• Support internal stakeholders with ad hoc strategic analysis and reports from multiple data sources •
Get hands dirty with the data extraction from big data sources like AWS Redshift, Big Query, etc.
• Develop a deep familiarity of the source data and it's generating systems through documentation,
interacting with the engineering teams, and systematic data profiling.
• Contribute heavily to the design and maintenance of the data models that allow us to measure
performance and comprehend performance drivers for different areas of business.
• Propose enhancements to improve experience
• Contribute to improving our ways of work, our tooling, and our internal reporting structure.
What Did We Order?
• Minimum 2-3 years of work experience in a technical / data-driven environment is essential
preferably within the tech logistics or ecommerce industry.
• Excellent understanding of Data Warehousing, data modelling and wider engineering practices.
• Excellent skills in SQL, Redshift and Big Query.
• Exp. In using Looker & tableau
• In-depth understanding of data visualization platforms such as Tableau with the ability to design new
dashboards and views based on business requirements.
• Familiarity and exposure of working alongside with the Product, Infrastructure, Data Science and
engineering teams and similar projects.
• Able to proactively analyse big data to discover trends, patterns, and actionable insights.
• Ability to learn quickly, prioritize tasks and perform under pressure.