Data Analyst Mr Price Group Logistics

KwaZulu-Natal, Full Time

About the Job

Mr Price Logistics has an exciting opportunity for a Data Analyst to be based at the Hammarsdale Distribution Centre. The aim of the role is to create visibility and make sense of business data (provide recommendations) to enable relevant stakeholders to make informed decisions through identification of various facts and trends.

A day in your life

Gathers business intelligence from a variety of sources.
Identify inventory records/transactions, ensure that inventory balances for Logistics are accurately maintained in all systems, making appropriate inventory adjustments.
Resolving discrepancies, examine and investigate out of balance items with root cause analysis and identifying necessary preventive measure to ensure there are no reoccurrence.
Compiles, verifies and report statistical information regarding inventory trends to support actionable recommendations.
Conduct review and investigations of inventory transactions in the ERP/warehouse management systems to ensure inventory accuracy and provide real time data.
Support the efforts of cycle counts by identifying and correcting stock discrepancies for any location or items.
Optimise overall location and item level accuracy.
Drafting inventory reports that document inventory counts, discrepancies, and other statistical data.
Reporting inventory statistics to management and suggesting improvements to inventory control.
Work with cross-functional teams to ensure inventory control practices are being followed and assist in continuous improvement initiatives.
Support audits of inventory policies and procedures and financial processes.
Ensure compliance with all standard operating procedures.

Are you who we’re looking for?

Bachelor’s degree in business, Management, Economics, Accounting, Finance, or Computer and Information Science required.
2 to 3 Years’ experience would be preferable.
Preferred inventory or warehouse operations/inventory warehouse analysis experience and understanding of value chain
Working knowledge and understanding of logistics and systems environment.
Preferred experience with programming for data analysis.
Firm understanding of statistics and databases.
Computer skills (Microsoft Office, WMS systems, ERP systems, and Tableau or similar technology-driven BI Tools).

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