As the SAP Data Supervisor you will receive data entry requests, create transactions in SAP and manage ongoing communication with the various stakeholders in the purchasing process. You will own trackers and dashboards that you will update periodically and share insights across the sourcing teams.Your scope will be for both local procurement and global purchases across Burundi, Kenya, Malawi, Rwanda, Tanzania, Uganda and Zambia.

The SAP Data Supervisor will report directly to the SAP Data Coordinator. You will also work closely with the finance team and country logistics data teams to support inputs deliveries and on-time payments.

Responsibilities

• Create accurate and timely transactions in SAP for Purchase Orders, Goods Receipt Purchase Orders, Invoices, Goods issues, Intercountry transfers and Stock counts.
• Achieve set KPIs in data entry timeliness for all SAP entries.
• Achieve set KPIs data entry accuracy for all SAP entries vs. KPIs.
• Coordinate Open POs closure to achieve set KPIs closure rate.
• Work closely with purchasers and the finance team to achieve set KPIs of your payments processing timeliness.
• Update assigned trackers and share monthly updates with relevant teams by agreed timelines.
• Understand SAP processes to support the internal clients with queries and resolve arising issues.
• Complete any other tasks related to One Acre Fund daily activities as may be assigned to you by your manager.

Career Growth and Development

We have a strong culture of constant learning and we invest in developing our people. You’ll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months, and set aside time to discuss your aspirations and career goals. You’ll have the opportunity to shape a growing organization and build a rewarding long-term career.

Qualifications

Across all roles, these are the general qualifications we look for. For this role specifically, you will have:

• Bachelor’s Degree in Statistics ,Business,Commerce, Economics, or any related fields.
• At least 2 years of work experience in Data Analysis.
• Basic knowledge in SAP or any other ERP system.
• Intermediate-advanced proficiency in google sheet and Data Visualization.
• Strong writing and presentation skills.
• Language: Fluency in English language (French is an added advantage)