The Corporation A disruptive logistics scale-up with exponential growth since inception, they provide same-day, next-day, and returns solutions in an efficient and sustainable manner. In response to rising e-commerce and instant-delivery demand, they intend to rethink last-mile logistics. They collaborate with retailers, supermarkets, restaurants, and eCommerce merchants to develop smarter transportation models. The Function As a member of the operations function's analytics team, you will drive optimisation and empower data-driven decisions through actionable insights, focusing primarily on client experience and courier experience challenges. Operations is a friendly environment, and as an analyst, you will be encouraged to pursue new and exciting opportunities by: Investigating operational and performance enhancement opportunities Sharing potential solutions based on data-driven insights calculating the potential impact of operational actions on key clients Creating predictive, churn, and courier lifetime models, among other things Python, SQL, and Tableau are among the tools used in the role. The candidate must have a 2:1 degree or higher in a quantitative subject. Have you worked with Python and SQL before? This does not have to be done in a professional or commercial setting; it could be done through academia or online courses. Capability to extract meaningful insights from large data sets and present them succinctly Dynamic, energising, and results-oriented Experience with Tableau or other visualisation software is preferred. 12d.prosser, Job Owner Tagged with Python, SQL, and Tableau.
The Corporation A disruptive logistics scale-up with exponential growth since inception, they provide same-day, next-day, and returns solutions in an efficient and sustainable manner.
In response to rising e-commerce and instant-delivery demand, they intend to rethink last-mile logistics.
They collaborate with retailers, supermarkets, restaurants, and eCommerce merchants to develop smarter transportation models.
The Function As a member of the operations function's analytics team, you will drive optimisation and empower data-driven decisions through actionable insights, focusing primarily on client experience and courier experience challenges.
Operations is a friendly environment, and as an analyst, you will be encouraged to pursue new and exciting opportunities by:
Investigating operational and performance enhancement opportunities Sharing potential solutions based on data-driven insights calculating the potential impact of operational actions on key clients Creating predictive, churn, and courier lifetime models, among other things Python, SQL, and Tableau are among the tools used in the role.
The candidate must have a 2:
1 degree or higher in a quantitative subject.
Have you worked with Python and SQL before? This does not have to be done in a professional or commercial setting;
it could be done through academia or online courses.
Capability to extract meaningful insights from large data sets and present them succinctly Dynamic, energising, and results-oriented Experience with Tableau or other visualisation software is preferred.
12d.prosser, Job Owner Tagged with Python, SQL, and Tableau.