Project Background

As part of the post 2022 floods recovery in Sindh, Sindh People’s Housing for Flood Affectees (SPHF), is leading a resilient housing reconstruction program for about 2.1 million households.

 

To support this effort SPHF in collaboration with SHRRP is undertaking a settlement plan in flood affected districts. This process is crucial for setting up, upgrading, and sustaining essential community infrastructures to improve access to basic public services.

 

As a Data Quality Assurance Officer, you will play a pivotal role in conducting this short-term assignment, contributing to the success of this critical initiative.

 

Objective and Responsibilities

The Data Quality Assurance-consultant will play a central role in ensuring the accuracy and integrity of data collected during field activities. This consultancy will involve collaborating closely with field teams to compile, clean, and validate data to meet project requirements and quality standards.

 

The position will be responsible for below mentioned tasks:

 

• Work closely with field teams to gather and compile data collected during field activities.
• Organize and catalog data in a structured manner for further analysis and processing.
• Ensure completeness and accuracy of collected data sets before proceeding to the cleaning phase.
• Develop and implement data cleaning protocols and procedures to identify and rectify errors, inconsistencies, and missing values in the collected data.
• Utilize data cleaning tools and software to streamline the process and ensure efficiency.
• Collaborate with field teams to address any data collection issues and discrepancies promptly.
• Conduct thorough quality assurance checks on cleaned data sets to ensure accuracy, consistency, and adherence to predefined standards.
• Verify data integrity through validation techniques and cross-referencing with original sources or reference data.
• Generate reports highlighting findings, discrepancies, and corrective actions taken to maintain data quality.
• Establish effective communication channels with field teams to understand data collection methodologies, challenges, and requirements.
• Provide orientation and support to field staff on data collection best practices and quality assurance protocols.
• Foster a collaborative environment to encourage feedback and continuous improvement in data collection processes.

 

Deliverables

a)    Attend the orientation session prior to the field work.

b)    Compiled and organized data sets from field activities.

c)    Cleaned data sets free of errors, inconsistencies, and missing values.

d)    Quality assurance reports highlighting data accuracy and integrity.

e)    Orientation materials and support provided to field teams on data quality assurance processes.

f)     Report any challenges encountered during data compilation, cleaning and validation process.

 

Reporting relationships

The Data Quality Assurance Officer will report and work closely with the Field Supervisor who will lead and supervise the activity. They will also have working relationships with the Project Manager /MEAL Officer or any other responsible field staff. During the assignment, organization will provide transport to/from field.

Required Competencies, Experience and Qualification

 

Personal Qualities

• Must be reliable and committed to fulfilling assignments with high level of professionalism.
• Must be able to work independently as well as within a team environment.
• Ability and willingness to work long hours and sometimes in adverse field conditions.
• Must be proactive and able to “think on your feet”.
• Highly punctual, organized, and flexible.
• Able to follow guidance provided by supervisors/managers.
• Must always show sober behavior they are required to perform duties.
• Must be able to assure confidentiality of respondents’ personal information/data collected from field areas.
• Understandable knowledge of English

 

Education

• Intermediate with diploma/short course in computer science, preferably university graduates from any recognized University in any related discipline.
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Experience

• Previous experience in data compilation, cleaning and validation.
• Have working knowledge of Apps like Kobo/ComCare etc.
• Familiarity with Microsoft Office.
• Must have data analysis skills using Microsoft excel.
• Must be able to follow and carry out instructions given by supervisors and willing to learn from others’ guidance.

 

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