Position Summary:
The purpose of this new role is to own the development and ongoing iteration of all data models, long-range data planning, and analysis and use our data to unearth areas of opportunity for improved efficiency and customer service excellence wherever that opportunity may be.
What you’ll do:
- Data modelling in support of Fulfilment Centre design and scenario planning
- Interfacing with BI, analysts and engineering teams on modelling, analysis and data needs
- Custodian within TFG Labs-fulfilment and advocate across the business for high-quality data objects, i.e., master data, inventory, location information, etc.
- Being a thought leader in the use of data and modelling to solve problems within TFG Labs and wider TFG business
- Last-mile analysis and optimisation with a special focus on inventory placement within the network to support customer demand
- Identifying, analysing and interpreting trends in Fulfilment data sets
- Finding, cleaning, compiling and storing the datasets needed by TFG Labs fulfilment
- Seasonal and growth planning and readiness by modelling and simulating end-to-end business impacts and bottlenecks
- Modelling and optimisation of store stock fulfilment scenario for optimal customer response at the lowest cost
- Data modelling and inputs for budget planning cycles
- Assist in data benchmarking across TFG brands and regions as well as external benchmarking
- Investigating and resolving data issues by liaising effectively with appropriate business and tech teams
- Building the tools needed to analyse and optimise our datasets on an ongoing basis
- Optimisation problems and scenario modelling and testing as required
- Designing the models and datasets needed by TFG Labs fulfilment to plan and optimise the TFG Labs fulfilment network
What you’ll have:
- Knowledge of the retail industry and merchandise life cycle management would be advantageous
- Knowledge of warehousing and logistics
- Knowledge of inventory management and optimisation
- Bachelor’s degree in a quantitative field – computer science/mathematics/engineering/science
- Experience writing production-ready Python code, and deploying and maintaining models would be advantageous
- Minimum of 3 years BI and data analysis experience
- Post-graduate degree – engineering/statistics/mathematics advantageous
- Excellent data interpretation skills.
- Advanced experience in analysis tools Python / R/ SAS