Experience: 3 to 5 Years
Apply By: 31-01-2026
Who we are:
ACGF – Afghan Credit Guarantee Foundation (ACGF) is a charitable foundation based in Cologne with a second office in Berlin, Germany. Our mission is to improve access to finance for Micro, Small and Medium Enterprises (MSMEs) in Afghanistan by providing credit guarantees and technical assistance to partner financial institutions, as well as grants for MSMEs.
Established in 2014, ACGF launched its operations in January 2015 as an institutional successor of the Credit Guarantee Facility for Afghanistan (CGF-A). Our funders are DEG – Deutsche Investitions- und Entwicklungsgesellschaft mbH (member of the KfW Group), the German Federal Ministry of Economic Cooperation and Development (BMZ), the World Bank and the European Union. ACGF is supported by its Afghan subsidiary SCSA – SME Client Support Afghanistan LLC.
We are looking for a Data and Process Automation Analyst (f/m/*) in Berlin to support our Transactions Management Department for 40 hours per week. The position is a parental leave replacement and offered as 15-months fixed-term contract.
As an employee at ACGF, you will benefit from a great opportunity to gain valuable professional experience in the areas of Data and Guarantee Operations, with the possibility of mobile working 3 days a week.
What You`ll do:
You will be responsible for analyzing, automating, and improving key operational processes related to guarantee and grant implementation, with a strong focus on data handling, systems usage, and process efficiency.
Your work will directly support the automation of guarantee issuance, monitoring, claims, refunds, and fee invoicing, while strengthening data quality, reporting, and system usage across ACGF and partner institutions.
You will act as a link between the Transactions Department, the Data & Reporting Department, and the MIS system provider, translating operational requirements into technical solutions and enabling practical implementation by staff and partners.
This is a highly hands-on position combining data engineering, process analysis, user support, and operational understanding.
Operational Processing