Warehouse Supervisor

• Ensure the cost-effective inventory management of all goods.
• Extract, combine, analyse raw data to produce the relevant stock-on-hand vs variance reports to the relevant stakeholders.
• Oversee the stock management data process – between the DC and stores.
• Ensure highest level of data integrity.
• Report and scorecard stock distribution performance utilizing internal databases.
• Knowledge in monitoring the accuracy and completeness of data and regularly validating it against credible data sources.
• Ability to create an environment where Business may quickly and easily access data and data analysis, ensuring that data processes are continuously maintained and kept up to date.
• Extract and validate data that goes into CRM / Shopify integrated systems.
• Oversee the collation of data resulting from the stock taking process.
• Facilitating with the ageing of stock to ensure clarification of current vs previous season inputs.
• Execute standardized reporting and ad-hoc analysis (manual counts, high value counts and put measures in place to mitigate losses in high risk stores).
• Provide input for risk and opportunity management by evaluating the current business (at store format and dc level) from both a quantitative and qualitative perspective.
• Report all stock outs to DC management, sales and Planning as well as liaise with planning to resolve any stock issues.
• Plan correct storage location for products in liaison with the DC Manager/ Inventory Clerk (ABC Analysis)
• Plan and create Physical Inventory Documents for monthly stock counts as well as reduce write-offs and losses to a minimum.
• Knowledge of adherence to product recall policy.
• Perform all administration and reporting effectively.
• Ability to accurately conduct daily and monthly physical inventory counts- DC and stores.
• Ability to generate and action pre-stock take reports.
• Ensure that physical stock count is uploaded on Shopify.

• Data Analysis
• Process Automation and business reporting
• Data preparation, modelling, and analysis.
• Reviews of collections reporting across all payment modalities.
• Develop tools and maintain solutions on behalf of business stakeholders.
• Implementation of relevant procedures

• 1-3 years data management experience with knowledge of data quality. An understanding of data quality management relating to retail stock data.

Keystone