Properties
Data Associate Ref No. DA/TB/31/10/22
C3
P333 - USAID TBLON
1 Nakonde, 1 Kitwe , 2 Lusaka - Kitwe District, Copperbelt Province
07 Feb 2024 00:00
14 Feb 2024 00:00
Reports to Data Coordinator. The incumbent collects and enters patient data into a reporting system.

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
  • 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
  • Adheres strictly to data confidentiality
  • With the help of the Data Coordinators, develop weekly and monthly data collection schedules
  • Assists clinical staff in ensuring all registers are available and up to date; participating in the compilation of HIA2 at the facility and ensuring there is consistent reporting across all facility reports
  • Initiates and actively participates in facility data review meetings, liaising with the District Data Coordinator, Facility Coordinator and the Facility In-Charge
  • Attends weekly all meetings as requested by facility or CIDRZ staff
  • Provides onsite support for all E-first activities, including training and mentorship all relevant facility staff
  • Provides reports as requested by Provincial and District Health Offices 
  • Assists in the improvement of all data collection tools by providing feedback for improvements and new feature inclusions
  • Handles computer equipment responsibly, keeping inventory of all assigned equipment
  • Handles patient data with utmost confidentiality and follow the set data safety procedures as specified 
  • Routinely backs up patient data as directed and submit copy on time e.g. SmartCare TDBs

Qualifications
  • Grade 12 Certificate
  • Minimum Diploma in Computer Studies, M&E, Social Sciences or related fields
  • Experience in data quality management
  • Good understanding of SmartCare will be an added advantage
  • Good analytical skills

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