Supply Chain Analyst (statistical methods in R & Python)

takealot.com; Cape Town; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A leading e-commerce logistics provider in Cape Town is seeking a talented Supply Chain Analyst to support the Supply Chain Development team. This role involves applying data science methods and mathematical analysis to enhance decision-making in Supply Chain projects. The ideal candidate will have a strong background in data analysis, experience with statistical methods in R and Python, and a Bachelor's degree in a relevant field. You'll have the opportunity to make impactful contributions in a dynamic environment.

Benefits

Career growth opportunities

Work with advanced technology

Purpose-driven impact

Qualifications

• Minimum 4 years experience in Data Analytics or Data Science.
• Minimum 4 years experience using statistical methods in Python or R.
• Experience in the Supply Chain or retail/ecommerce industry is beneficial.

Responsibilities

• Identify opportunities for improving Supply Chain performance.
• Provide high quality analysis across all Supply Chain projects.
• Communicate opportunities effectively to stakeholders.

Skills

Proficiency in Data Analysis

Statistical methods in R and Python

Big data wrangling

Advanced methods for regression

Good communication skills

Strong business acumen

AI models & prompt engineering

Project management

Problem solving

Education

Bachelor’s Degree in Statistics, Computer Science or similar

Master’s Degree in Data Science or Advanced Analytics

Tools

SQL

Data visualization tools (PowerBI, Qlik, Tableau)

Job description

Supply Chain Analyst (statistical methods in R & Python)

Cape Town

Takealot Fulfilment Solutions (TFS), a division of Takealot Online (RF) (Pty) Ltd, is looking for a highly talented Supply Chain Analyst to join our team in Cape Town.

Join Our Mission at Takealot Fulfilment Solutions | We Are TFS

Revolutionising e-commerce logistics in South Africa with cutting-edge technology and operational excellence. We deliver 30+ million orders annually, empowering businesses and driving economic growth.

Who We're Looking For:

Innovative, ambitious individuals ready to shape the future of e-commerce logistics. At TFS, "Uniquely You" meets "Powerfully Us", where your individuality strengthens our collective mission.

The purpose of the role is to support the Supply Chain Development team by applying data science methods, and rigorous mathematical analysis to enable quick decision making in the implementation of Supply Chain projects. The role also supports capacity planning, optimization, and forecasting.

Why Join TFS:

• Purpose-driven impact: Transform lives through logistics innovation
• Advanced technology: Work with cutting-edge systems in a fast-paced environment
• Career growth: Thrive in an agile space that champions continuous improvement
• A culture that celebrates individual uniqueness while championing the strength of togetherness.
• Be part of creating sustainable, scalable solutions that make a difference across South Africa's e-commerce landscape.

At TFS, your growth is our growth. You'll be joining a team powered by Takealot Group's core values.

This position reports to the Supply Chain Analytics Manager.

Your responsibilities will include but not limited to:

• 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

Attributes required:

• 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

Qualifications & Experience:

• 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

Be part of the extraordinary. Be part of TFS.

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

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