Data Collection
Data Verification
Data Entry
Customer Communication
Telephone Etiquette
Microsoft Excel
Online Research
Problem-Solving
Research
Communication
Time Management
Data Analysis
Be the go-to person for day-to-day Epicor ERP support across departments including Purchasing, Inventory, Production, and Finance.
Investigate and resolve system or process issues, including transaction history review and data validation, SQL data validation, DMT data uploads and controlled updates, cross department issue resolution.
Develop and maintain BAQ reports and dashboards for operational monitoring.
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Develop and maintain interactive dashboards and reports to track product compliance, import/export performance, and other trade-related metrics.
Perform data extraction, cleaning, and transformation from multiple internal systems (e.g., ERP, warehouse management, and shipment tracking platforms).
Build and optimize data models to ensure accuracy, scalability, and performance.
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Analyse complex retail inventory, replenishment and allocation problems involving stores, SKUs, stock, sales, warehouse supply, lead time, festivals and other business conditions.
Take ownership of analysis from problem understanding, data identification and validation through analysis, findings, recommendations and follow-up.
Use SQL, Python/pandas, Excel and BI tools to process, analyse and visualise large datasets.
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Analyse complex retail inventory, replenishment and allocation problems involving stores, SKUs, stock, sales, warehouse supply, lead time, festivals and other business conditions.
Take ownership of analysis from problem understanding, data identification and validation through analysis, findings, recommendations and follow-up.
Use SQL, Python/pandas, Excel and BI tools to process, analyse and visualise large datasets.
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Define and own the analytics roadmap, aligning it with MR DIY's business objectives and the broader digital transformation strategy.
Identify high-value analytics opportunities across merchandising, supply chain, store operations, finance, and customer/loyalty domains, and prioritise based on business impact.
Translate ambiguous business questions into structured analytics problems with clear success measures.
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Define and own the analytics roadmap, aligning it with MR DIY's business objectives and the broader digital transformation strategy.
Identify high-value analytics opportunities across merchandising, supply chain, store operations, finance, and customer/loyalty domains, and prioritise based on business impact.
Translate ambiguous business questions into structured analytics problems with clear success measures.
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