ACBAR

Solidarity for Afghan Families (SAF) was established on October 2005 as a non-governmental, non-political and non-profit organization with an independent legal identity. The vision of the organization is to get to a developed and welfare society for Afghan families and the mission of the organization is empowering and enabling Afghan families to combat against diseases, poverty, social injustice and illiteracy –

موسسه همبستگی برای خانواده های افغان (SAF) در اکتبر 2005 به عنوان یک سازمان غیر دولتی، غیر سیاسی و غیر انتفاعی با هویت مستقل قانونی تاسیس شد. چشم انداز سازمان، دستیابی به یک جامعه توسعه یافته و رفاهی برای خانواده های افغان است و ماموریت سازمان، توانمند سازی خانواده های افغان برای مبارزه با بیماری ها، فقر، بی عدالتی و بی سوادی است

1. Manage and optimize the dedicated supply chain reports.
2. Regular data entry of all pharmaceuticals into mSupply database on regular and on-time bases.
3. Use and generate data for managerial staff for proper decision making.
4. Generate pharmaceutical data for real quantification and projection.
5. Analyze the data, find out the gaps, and visualize the results to managerial staff.
6. Generate monthly, quarterly, semi-annual and annual report and share with the line manager.
7. Write and maintain tracking sheet including database (mSupply) for data extraction, transformation, and loading (ETL) as well as proper dashboards for real-time data visualization.
8. Ensure data accuracy and integrity across all platforms and document data management procedures and best practices.
9. Collaborate with IT and other departments to integrate new data sources and provide technical support and training to team members on data management tools.
10. Automate data processes to improve efficiency and accuracy.
11. Conduct regular data audits and resolve any data quality issues.

1. Bachelor’s degree in statistics or related field with at least 5 years’ experience. Experience in m-supply or managing data in health supply chain would be an added advantage
2. Proven experience in data management tools such as MLIS, trucking sheets and databases.
3. Excellent problem-solving abilities with capacity to manage multiple projects simultaneously.
4. Detail-oriented with a focus on data quality and accuracy.
5. Eagerness to learn and adapt to new technologies and methodologies.
6. Commitment to maintaining data security and confidentiality.

Interested Applicants are requested to submit a cover letter and detailed CV, through the Link provided in submission Email, copy the URL and paste it on search bar Kindly note that this is the Only way to apply, there is no other way of applying to the position, you are required to fill the form correctly otherwise you will not be listed.

Note: CV should be PDF and size must not exceed 1Mb.

https://forms.gle/w5bX4HtzByVvRjbr5