Data Quality Monitor Ethekwini Lower South

**Job Purpose**

The Data Quality Monitor will be based at sub-district level 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 Quality Monitor will work closely with M&E 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.

**Duties and Responsibilities**

Provide guidance to facility and community staff on the effective ways to implement and adhere to the six key stages of data management cycle (data source, data collection, data collation, data analysis, data reporting and data usage).

Provide guidance on how the data are collected and how the raw data are assembled and analyzed; determining the most appropriate presentation formats for the data; and ensuring data use by decision makers.

Work with the M&E managers and officers to develop and implement data quality assessment tools to ensure validity, reliability, integrity, precision, timeliness, accuracy, worth, completeness, confidentiality and ethics for the data collected at facility and community levels.

Conduct regular data verification visits including detailed checking of reported data against source documents on a bi-weekly, monthly, quarterly, semi-annual and annual basis, to ensure all data captured is accurate and valid.

Ensure that data management systems and procedures are in place, implemented and adhered to, to ensure data quality.

Oversee TB project data management reports as well as participate in data review meetings at sub-district level.

Conducting routine data quality assessment (RDQA) or data quality audit at facility and community level.

Write professional reports and provide feedback on data quality issues detected.

Review raw data from primary sources and compare with system generated reports to address any missing data, inconsistencies, discrepancies, or errors.

Work closely with the programmatic team, by implementing systems to improve data quality.

Perform basic data analysis with the view to provide recommendations on improvement of data quality measures and controls.

Attend regular MERL workshops, data related meetings and training courses as required.

To support the flow of facility level data for accurate and timeous weekly, monthly, quarterly, semi-annual and annual reporting.

Promotes data usage for continuous quality improvement through feedback, training and capacity building activities at both health facility and community levels through regular monthly and quarterly data review meetings.

Assist data captures, facility and community staff to develop data quality management plan (DQMP) to maintain data quality standards.

**Knowledge and experience**

**Level of education**

NQF level 6 or equivalent qualification in data management or statistics, health, public health, social sciences, information technology, or related field will be an advantage.

**Job requirement and work experience**

At least 3 years’ experience in data quality management, verification, conducting routine data quality assessment (RDQA) or data quality audit.

Experience of working in donor funded projects is desirable.

Good understanding and experience in using one of the following NDOH information management systems (District Health Information System (DHIS), Tier.Net and Electronic Drug Resistance Register (EDRWEB), and/ Patient Record and Health Management Information System (PREHIMS) or Primary Health Care Information System (PHCIS) will be an added advantage.

Proficiency in Microsoft Packages.

Proficiency in verbal and written communication skills.

Ability to work effectively and efficiently in a fast-paced environment.

Process driven with the ability to perform duties in structured environment.

Ability to act with integrity and honesty in the performance of all functions.

Results-oriented, professional, accountable, and proactive.

Demonstrated ability to drive high quality data management processes.

Valid Driver's license.