Child Labour Survey Data Quality Assurance Consultant

The CLS Data Quality Assurance Consultant will support UN Agency in ensuring data quality for the Child Labour Survey (CLS) through continuous monitoring, analysis, and reporting. This includes working closely with UN Agency’s technical consultants, the University of Mannheim (UM), and the Center for Evaluation and Development (C4ED) to assess data quality through the CLS dashboard and web-based monitoring systems, focusing on AJKCLS. The consultant will also address data quality issues, facilitate effective communication between UN Agency and implementing partners, and support data cleaning, analysis, and report writing for Sindh, Baluchistan, ICT, and AJK.

ROLES AND RESPONSIBILITIES:

1.Data Quality Monitoring and Reporting;

• Provide continuous technical support through monitoring the Child Labour Survey dashboard for AJK and web-based monitoring system on a regular basis.
• Detect/identify and consolidate data inconsistencies, quality issues with the support of UM/C4ED team; and report to the concerned quarter in prescribed channel of communication.
• Monitor the coding of industries, occupation, and tools according to Pakistan Standard Classification of Occupations-2015 (PSCO 2015) and Pakistan Standard Industrial Classification (PSIC)
• Provide technical support in the use of CAPI application during any customization of survey application.
• Provide advice on the field monitoring reports/checklists generated by the C4ED teams on a regular basis to all concerned stakeholders for improving data quality.
• Once the results of all Provinces/Territories are available, prepare key policy recommendations for regional interventions and resource allocation for children involved in child labor, based on additional evidence.
• Support the consolidation of the national report and the National Key Findings Report (KFR) using evidence to inform policymaking for children affected by child labor.
• Undertake further in-depth assessment of raw data to trace the causes of data discrepancies.
• Provide the mentioned technical support for the given regions:Sindh Child Labour Survey , Balochistan Child Labour Survey , ICT Child Labour Survey , AJK Child Labour Survey

2. Conduct additional analysis related to CLS results as suggested by Government and UN Agency.

3. Provide the following support to the CLS:

• Review CLS data to identifying data discrepancies and related risks/mitigation factors around them; providing advice and developing solutions to these possible discrepancies amongst existing results from other surveys and CLS.
• Capacity Building of Enumerators, observer and Team supervisor as per SIMPOC standards.
• Align the local legislation of child labour with SIMPOC guidelines and ensure that CL prevalence must be based on the aligned definition of child labour in every region.
• Familiarize well with CLS SIMPOC methodology, tools, and guidelines.
• Implement CLS technical Protocols and Recommendations related to data quality assurance address the emerging issues and that all the communication is well documented.
• Customization of CAPI application by regular interaction with Information System team as per need.
• Review of survey manuals, training material and ensure quality of translation where necessary. 
• Capacity building of desk monitors, coders and data validators.
• Communicate regularly and proactively with the UN Agency CO first, as well as with implementing partners and UN Agency field offices responding to all CLS related data quality issues in a timely manner.
• Work closely with UN Agency CO to provide monthly updates on CLS monitoring and reporting activities for each province/territory to social policy /child protection sections.
• Proactively participate in data processing.
• Data cleaning, syntax development, secondary editing, finalization of tabulation plan for each region. Etc. and final report writing phase of the survey along with technical team and implementing partners.
• Ensure that all survey monitoring and analysis/reporting documents for each provincial CLS are properly documented and archived, including lessons learned, challenges and good practices (for example: monitoring reports by C4ED, output and tabulation plan tables, syntaxes, datasets, Survey Findings Report (and Final Report), dissemination materials etc.).
• Support the compilation of CLS National Key Finding Report including the key results of all the Child Labour Surveys.
• Data Overview: Aggregate and present essential metrics from each region.
• Key Indicators: Focus on critical factors such as child labour rates, educational access, and socio-economic conditions.
• Regional Comparisons: Highlight differences and trends across regions.
• Summary: Provide a clear and brief overview of the key findings.

WORK LOCATION: Remote - Travel to other regions suggested by UN Agency.

Notice

• MicroMerger reserves the right to reject any or all applications or change the number of positions at any stage without assigning any reason or as per requirements.
• Any Candidate/Applicant who attempts to or influences the recruitment process or the Selection Panel by any means shall be disqualified immediately.
• MicroMerger will not consider applicants not fulfilling the requirements/criteria mentioned above.
• Incomplete applications will not be entertained.
• MicroMerger reserves the right to cancel the whole hiring process at any stage without mentioning any reason.
• Only shortlisted candidates will be invited for tests and/or interviews via call or Email.
• MicroMerger provides equal opportunity to all qualified Males & Females candidates. Females are encouraged to apply.
• All jobs are of visual nature. Visually impaired applicants cannot be entertained.
• Recruitment will be made on a contract basis, extendable based on arising needs
• By applying to this position, you agree to the use of your CV for MicroMerger's internal Application Tracking System.
• Shortlisted candidates will have to bring their CVs, attested copies of CNIC, certificates, experience certificates and educational qualifications at the time of the interview
• No TA/DA or any expense would be admissible during the whole hiring process including interviews, tests etc.