Data Capturer I at The Aurum Institute

Description

The Data Capturer will work with facilities and will ensure that key data quality dimensions such as validity, reliability, integrity, precision, timeliness, accuracy, worth, completeness, confidentiality and ethics are met for all data collected at facility and community levels. This position will contribute to the development and maintenance of the high standard of data collected and reported and assists with conducting routine data quality assessment (RDQA) or data quality audit. The Data capturer will work closely with M&E officers, Data Quality monitors, managers, Quality improvement advisors, QI officers and district health information managers to provide oversight and technical support on improving data quality to facility and community level staff as well as data capturers through facility level supervision and support visits, capacity building and data quality assurance.

• Strengthening and capacity building on existing national health information systems such as EDR.Web, TIER.Net, DHIS, HPRS and others) to enhance data visibility via dashboards and cascade analysis to enhance programme improvement.
• Support in conducting Onsite Data Verifications (OSDV).
• Provide technical support and assistance on Filing System.
• Provide technical support and assistance on clearing of Data Capturing backlogs
• Review of data extracts and providing Feedback.
• Support data capturing related activities at beyond zero as the need arises. 
• Participate in quality improvement projects.
• Participate in district and sub-district MERL meetings, workshops and discussions to provide ongoing technical support

Requirements

• Grade 12
• Post Matric Diploma/Degree Qualification will be an added advantage.
• Previous Exposure in HIV/AIDS and TB Prevention programmes (added advantage)
• 2 years data capturing experience.
• 2 years office work experience.
• Experience in capturing data in electronic databases, Health related is an added advantage.
• Fully computer literate (proficient working knowledge of MS office, including databases)
• Experience in data management and data verification