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Data Associate

Full Time 1 week ago Mwinilunga, Mpulungu, Samfya, Ndola, Zambia

Employment Information

Title: Data Associate
Grade: C3
Project: P470 – TBLON – FAA
Location: Mwinilunga, Mpulungu and Samfya – Ndola District, Copperbelt Province
Publish Date: 15 Jul 2026 00:00
Deadline Date: 22 Jul 2026 00:00

Description:

Job summary

Reports to Data Coordinator. Working with the District Health Information Officers, as well as District Focal Point Persons, this position involves the collection and entry of patient data into paper-based and electronic data collection tools.

Main duties

  • Enters all patient interaction data in an accurate and timely manner from all service points as guided by SOPs and associated relevant documentation
  • Builds capacity of MoH staff in data entry, retrieval, analysis, visualization and reporting using DHIS2.
  • Ensures accurate and complete data is submitted on time
  • Responds to all routine and ad-hoc data queries and verifications promptly
  • Provides data and M&E support to health facility staff and CIDRZ in-house clinical staff
  • Provides weekly and monthly data collection reports, highlighting challenges and success
  • Assists clinical staff in ensuring all registers are available and fully updated; participating in the compilation of HIA2 reports at the facility and ensuring there is consistent reporting across all facility reports
  • Works with District Health Information Officer/ Facility TB Focal Point persons, Facility In-Charge to initiate and actively participate in facility data review meetings
  • Attends weekly all meetings as requested by facility or CIDRZ staff
  • Assists in the improvement of all data collection tools by providing feedback for improvements and new feature inclusions
  • Handles patient data with utmost confidentiality and follow the set data safety procedures as specified


Qualifications

  • Grade 12 Certificate
  • Diploma in Computer Studies, M&E, Social Sciences or related fields
  • 1 Year data entry experience
  • Experience in data quality management
  • Good understanding of SmartCare, Yathu, FIMS and DHIS2 will be an added advantage
  • Good understanding of SmartCare will be an added advantage

Suitably qualified candidates are invited to apply. However, only shortlisted candidates will be contacted.

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