Senior Supply Chain Analyst (Data Analyst)

• Identify opportunities where data science methods will significantly improve the Supply Chain division's performance in the areas of forecasting, capacity planning, scenario modeling, process optimization, complex analysis and reporting
• Providing high quality analysis to the Supply Chain Development team working across all Supply Chain projects
• Providing inputs for the further development of Supply Chain network model and strategy in conjunction with the Analytics team and wider Supply Chain division
• Bridging gap between problems cases and data, from multiple data inputs and systems
• Plan, prioritize and manage a roadmap of work that maximizes value-add with limited time
• Develop solutions according to the roadmap using appropriate methods, depending on the problem
• Measure, report and continuously improve model performance
• Work closely with the Analytics team to brainstorm, identify opportunities and guide the roadmap
• Communicate opportunities and solutions effectively to relevant stakeholders
• Collaborate and share knowledge with the analytics teams across the company

• Proficiency in Data Analysis and using statistical methods in R and Python
• Proficient at gathering and wrangling big data sets from various sources including, SQL databases, cloud services, APIs and Excel/Google Sheets
• Proficient with advanced methods for regression, optimisation, classification and unsupervised learning problems
• Good communications skills with the ability to present complex information in a clear and concise manner to a variety of audiences
• Strong business acumen
• Competence working with AI models & prompt engineering
• 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

• Bachelor's Degree required in Statistics & Computer Science, Applied Mathematics, Data Science or similar
• Master's Degree in Data Science, Advanced Analytics or similar highly beneficial
• Minimum 4 years experience within a Data Analytics or Data Science role
• Minimum 4 years experience using statistical methods (regression, forecasting and modeling) in Python or R.
• Minimum 4 years SQL scripting experience
• Minimum 2 years experience using data visualization tools such as PowerBI, Qlik, Tableau and Looker
• Experience within a Supply Chain, retail/ecommerce industry or similar would be highly beneficial

• 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.

• 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

Takealot