Supply Chain Analyst

takealot.com, a leading South African online retailer, is looking for a highly talented Supply Chain Analyst to join our team in Cape Town.

We are a young, dynamic, hyper growth company looking for smart, creative, hardworking people with integrity to join us. We offer a market related, Total Remuneration Package which allows full flexibility according to your needs, a great work environment and a promise that you won’t be bored as long as you are prepared for a challenge and want to build something great.

This position reports to the Supply Chain Analytics Manager.

Your responsibilities will include but not limited to:

• Providing high quality analysis to the Supply Chain Development team working across all Supply Chain projects


• Enhancement of existing volume and capacity forecast models


• On-going alignment with Retail department on stock cover and related issues


• Providing inputs for the further development of Supply Chain network model and strategy


• Bridging gap between problems cases and data, from multiple data inputs and systems


• Identify areas of the business where data and metrics are needed to better understand and improve result

 Attributes required:

• High level of proficiency with MS Office packages with proven advanced proficiency in Excel


• Proficiency in Data Analysis and using statistical methods in R and Python


• Competence in SQL or other database software


• Competence in Data Visualization software


• Competence working with AI models & prompt engineering.


• Numerate with strong computer literacy and great analytical and problem solving skills


• Proven ability to work to stringent deadlines


• Excellent work ethic and ability to multitask


• Ability to identify problems, demonstrate the use of initiative and implement appropriate solutions


• Ability to understand supply chain issues and drive solutions


• Ability to prioritize, manage and complete projects under a deadline

 Qualifications & Experience:

• Bachelor’s Degree required in Statistics & Computer Science, Applied Mathematics, Data Science or similar 


• Minimum of 3 years within a Data Analytics role preferably in Supply Chain within the retail/ecommerce industry or similar 


• Minimum of 3 years experience using statistical methods (regression, forecasting and modeling) in Python and R.


• Minimum 2 years experience using data visualization tools such as PowerBI, Qlik, Tableau and Looker


• Minimum 3 years SQL scripting experience

 The Environment:

• takealot.com employees are entrepreneurial and dynamic, smart, customer-centric, fun and have the shared ambition of takealot.com being the leading e-commerce company in Africa.


• We have fun, work hard, take ownership, work in teams to create solutions, and are always open to direct feedback/new ideas on where we can improve.


• We are short on ego and high on output.


• We are doers and not only thinkers, it's all in the execution after all.


• We love what we do and what we are creating.

We seek to Employ an Extra Ordinary Mind who

• is forthright but respectful


• is an expert at doing, who can not only design but also execute


• is analytical, able to use data to make decisions


• is competitive, self-directed, and strives to be the BEST (GREAT requires a lot of work and does not only happen during business hours


• is passionate about the potential of e-commerce and delivering a world-class customer experience


• is entrepreneurial, thrives under change and accepts it is a constant and always looks for solutions to do something better and faster


• is able to think about problems from a business perspective using technical and product input


• is curious and challenges the status quo


• is innovative and enjoys iteration


• is collaborative


• will be at the cutting edge of developing new concepts for takealot.com.


• thinks like an owner of the business.


• is SMART, has INTEGRITY, and is HARDWORKING

If you meet the above you are an Extraordinary Mind so come and join us!

Takealot is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.