WAREHOUSE AND STOCK ACCOUNTANT @ MGAS
MGas is looking for a qualified Warehouse and Stock Accountant to join our dynamic team in Tanzania. This role is pivotal in ensuring the accuracy of our inventory records and maintaining financial integrity within our warehouse operations. The successful candidate will be responsible for reconciling stock levels, managing financial entries in the SAP system, and providing detailed reports to management regarding stock movements and discrepancies.
The ideal candidate should possess a degree in a relevant field and demonstrate significant experience in warehouse accounting. We value professionals who are honest, detail-oriented, and proficient in modern ERP systems. By joining MGas, you will be part of a forward-thinking company that values efficiency and accuracy. Candidates are encouraged to submit their applications promptly to the HR department for consideration as the selection process is on a rolling basis.
The ideal candidate should possess a degree in a relevant field and demonstrate significant experience in warehouse accounting. We value professionals who are honest, detail-oriented, and proficient in modern ERP systems. By joining MGas, you will be part of a forward-thinking company that values efficiency and accuracy. Candidates are encouraged to submit their applications promptly to the HR department for consideration as the selection process is on a rolling basis.
Key Requirements
Bachelor's degree in Accounting, Finance, or a related field.
Strong experience in warehouse management and stock control.
Proficiency in SAP System for inventory tracking and financial reporting.
High level of integrity and honesty in handling stock and financial records.
Strong analytical skills to perform stock reconciliations.
Attention to detail in maintaining accurate inventory documentation.
Excellent communication skills for internal reporting.
Ability to work under pressure and meet deadlines.
Knowledge of standard accounting principles (GAAP or IFRS).
Proficiency in Microsoft Excel for data analysis.