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KENPHIA II Data Monitors (3 Positions)

Closing: Jul 25, 2024

6 days remaining

Published: Jul 4, 2024 (16 days ago)

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Job Summary

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The Data Monitors play a pivotal role within the Kenya Population-based HIV Impact Assessment II (KENPHIA II) Data Monitoring processes, focusing on the real-time oversight and quality assurance of data collected by the field teams via the various data systems and platforms. These positions are essential for maintaining the integrity of data through systematic review, utilizing real-time data monitoring systems, engaging in active communication with field teams through telecommunication tools (Phone, SMS, Emails, prompts) and collaborating with the survey Data and Field Teams to address and rectify data discrepancies.

Required Skills and Qualifications:

  • Bachelor’s degree in data science, Statistics, Computer Science, or a closely related field.
  • Demonstrated experience in data monitoring, quality control, or similar roles.
  • Exceptional analytical abilities and meticulous attention to detail.
  • Superior communication skills, both written and verbal.
  • Proficient in web interfaces and data analysis software.
  • Capable of working both independently and within a team setting.
  • Prior experience with CSPro or comparable data management tools is advantageous.
  • Commitment to continuous learning and skill development in data management and quality control.
If you meet the above qualification, kindly send your application that includes a cover letter and an updated CV including names of three professional referees to [email protected] on or before 25th July 2024.  Applicants are advised to include the title on the subject line.


Responsibilities
The Data Monitors play a pivotal role within the Kenya Population-based HIV Impact Assessment II (KENPHIA II) Data Monitoring processes, focusing on the real-time oversight and quality assurance of data collected by the field teams via the various data systems and platforms. These positions are essential for maintaining the integrity of data through systematic review, utilizing real-time data monitoring systems, engaging in active communication with field teams through telecommunication tools (Phone, SMS, Emails, prompts) and collaborating with the survey Data and Field Teams to address and rectify data discrepancies.

Required Skills and Qualifications:

  • Bachelor’s degree in data science, Statistics, Computer Science, or a closely related field.
  • Demonstrated experience in data monitoring, quality control, or similar roles.
  • Exceptional analytical abilities and meticulous attention to detail.
  • Superior communication skills, both written and verbal.
  • Proficient in web interfaces and data analysis software.
  • Capable of working both independently and within a team setting.
  • Prior experience with CSPro or comparable data management tools is advantageous.
  • Commitment to continuous learning and skill development in data management and quality control.
If you meet the above qualification, kindly send your application that includes a cover letter and an updated CV including names of three professional referees to [email protected] on or before 25th July 2024.  Applicants are advised to include the title on the subject line.


  • Data Review and Quality Control: Conduct regular reviews of data submissions from field teams for accuracy and completeness, leveraging the Activity, Information Management System (AIMS) database for immediate online observation and engaging in the data cleaning process.
  • Communication: Offer guidance and technical support to field teams, especially regarding duplicate participant ID, data accuracy and completeness issues or data upload challenges. Utilize Voice-over-Internet and WhatsApp for effective communication.
  • Reporting and Escalation: Generate daily progress reports for regional coordinators per team, identifying issues requiring zonal coordinator intervention. Promptly escalating incidents impacting data integrity or those with regulatory implications to the data quality lead to investigation.
  • Process Optimization: Work in concert with survey management developers and the data processing manager to identify, trap, and correct system errors, enhancing the data collection and monitoring processes.
  • Support to Field Teams: Employ a checklist for tracking team movements and daily activities, providing necessary feedback and technical support to ensure consistent data upload quality and integrity.


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