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| Data Quality Assessment (Consultant) | |||
|---|---|---|---|
| Country | Afghanistan | Province | Herat, |
| Categories | Consultant, | Type | Full Time |
| Post Date | 2024-07-13 | Close Date | 2024-07-17 |
| Vacancy No | DQA-MCA-C001-2024 | Gender | male female |
| No Of Jobs | 1 | Contract Duration | 25 Days |
| Education | Advanced degree in statistics, data science, social sciences, or a related field. • Relevant certifications in data quality, monitoring and evaluation, or related areas. | Experience | Proven experience in conducting data quality assessments, particularly in similar program contexts. • Experience working with NGOs, particularly in Afghanistan or similar settings. |
| Organization | Opportunities for you | Salary | Deliverable based |
About Company
About Mercy Corps: About Mercy Corps Mercy Corps is powered by the belief that a better world is possible. To do this, we know our teams do their best work when they are diverse and every team member feels that they belong. We welcome diverse backgrounds, perspectives, and skills so that we can be stronger and have long term impact. Ongoing Learning In support of our belief that learning organizations are more effective, efficient and relevant to the communities we serve, we empower all team members to dedicate 5% of their time to learning activities that further their personal and/or professional growth and development Diversity, Equity & Inclusion Achieving our mission begins with how we build our team and work together. Through our commitment to enriching our organization with people of different origins, beliefs, backgrounds, and ways of thinking, we are better able to leverage the collective power of our teams and solve the world’s most complex challenges. We strive for a culture of trust and respect, where everyone contributes their perspectives and authentic selves, reaches their potential as individuals and teams, and collaborates to do the best work of their lives. We recognize that diversity and inclusion is a journey, and we are committed to learning, listening and evolving to become more diverse, equitable and inclusive than we are today. Equal Employment Opportunity Mercy Corps is an equal opportunity employer that does not tolerate discrimination on any basis. We actively seek out diverse backgrounds, perspectives, and skills so that we can be collectively stronger and have sustained global impact. We are committed to providing an environment of respect and psychological safety where equal employment opportunities are available to all. We do not engage in or tolerate discrimination on the basis of race, color, gender identity, gender expression, religion, age, sexual orientation, national or ethnic origin, disability (including HIV/AIDS status), marital status, military veteran status or any other protected group in the locations where we work. Safeguarding & Ethics Mercy Corps is committed to ensuring that all individuals we come into contact with through our work, whether team members, community members, program participants or others, are treated with respect and dignity. We are committed to the core principles regarding prevention of sexual exploitation and abuse laid out by the UN Secretary General and IASC and have signed on to the Interagency Misconduct Disclosure Scheme. By applying for this role an applicant confirms that they have not previously violated an employer’s sexual misconduct, sexual exploitation and abuse, child safeguarding or trafficking policy. We will not tolerate child abuse, sexual exploitation, abuse, or harassment by or of our team members. As part of our commitment to a safe and inclusive work environment, team members are expected to conduct themselves in a professional manner, respect local laws and customs, and to adhere to Mercy Corps Code of Conduct Policies and values at all times. Team members are required to complete mandatory Code of Conduct e-learning courses upon hire and on an annual basis. As an applicant, if you witness or experience any form of sexual misconduct during the recruitment process, please report this to Mercy Corps Integrity Hotline (integrityhotline@mercycorps.org).
Job Description
Description of the Context
To address emergency multi-sector humanitarian needs of vulnerable crisis-affected populations in Afghanistan through the provision of WASH support, multi-purpose cash support, Shelter and Settlement and cash for work programming that aligns with BHA’s mission of saving lives, alleviating human suffering, and reducing the impact of disasters by helping people in need, MCA is implementing BHA funded project (Lifesaving integrated emergency response to vulnerable crisis-affected populations in Afghanistan) as part of a consortium with Medair and Solidarities International.
This initiative aims to support crises affected population in Afghanistan. The program seeks to aid 38600 individuals under WASH, 14700 individuals under MPCA, 4200 individuals under S&S and 14000 individuals under ERMS sectors in three provinces of Afghanistan (Herat, Kandahar and Balkh provinces). Under the four mentioned sectors the program is providing assistances as below:
- WASH: Water supply system, Hygiene promotion, Sanitation, WASH NFI and Environmental health.
- MPCA: Multi-Purpose cash assistance for 2200 HHs (14700 individuals).
- S&S: Providing winterization assistance for 800 HHs (4200 individuals).
- ERMS: By temporary employment, providing assistance to 14000 individuals.
- Description of the Strategic Objective
Under the Lifesaving integrated emergency response to vulnerable crisis-affected populations in Afghanistan there are five main purposes.
Purpose 01: Reduced incidence and risk of communicable disease transmission AND reduced rates of mortality and morbidity caused by communicable disease transmission.
Mercy Corps anticipates that Purpose 01 will be achieved through:
Output 1.1: Hygiene Promotion and WASH NFIs: Provision of supportive peer-based social and behavior change communication on hygiene in the communities; provision of WASH NFIs to targeted households.
Output 1.2: Water supply: Rehabilitation of existing systems and/or establishment of new water networks.
Output 1.3: Sanitation: Rehabilitation of existing and/or construction of new sanitation facilities (including latrines and handwashing stations).
Output 1.4: Environmental Health: Provision of solid waste management services.
Purpose 2.0: Reduced incidence of food insecurity for the most vulnerable households and reduced reliance on negative coping strategies.
Mercy Corps anticipates that Purpose 2.0 will be achieved through multi-purpose cash assistance.
Purpose 3.0: Shock-affected households can cover their basic lifesaving needs.
Mercy Corps anticipates that Purpose 3.0 will be achieved through multi-purpose cash assistance.
Purpose 04: Reduced incidence of morbidity and mortality due to multisectoral winter needs.
Mercy Corps anticipates that Purpose 4.0 will be achieved through providing winterization NFI assistance.
Purpose 05: Affected population is able to receive temporary employment and meet basic needs while rebuilding community assets essential for (re)building livelihoods.
Mercy Corps anticipates that Purpose 5.0 will be achieved through providing opportunity for temporary engagement in cash for work activities.
The foundational results of BHA program improved WASH accessibility, increased food security, and providing emergency assistance to local communities will support the achievement of above-mentioned outcome and goals.
RATIONALE
Data Quality Assessment (DQA) involves assessing the precision, comprehensiveness, dependability, timeliness, and uniformity of data. It's a crucial stage in data handling and analysis because data quality profoundly influences the results and choices derived from it. In the process of data quality assessment, diverse techniques like data profiling, cleansing, validation, and enrichment are employed to gauge data quality. These techniques aid in pinpointing and rectifying any inaccuracies, disparities, or absent information that could compromise the dataset's accuracy and integrity.
The procedure of evaluating data quality encompasses a comprehensive review of the data, encompassing its origins, structures, metadata, and the underlying business logic employed in calculations. It also entails employing a variety of statistical and analytical methods to identify any trends or irregularities within the data. Ultimately, data quality assessment is vital in guaranteeing the credibility, precision, and dependability of data, all of which are imperative for informed decision-making and the extraction of significant insights.
OBJECTIVES
In accordance with MC’s MEL minimum Standard 11: Data Quality Audit/Assessment, all programs are required to conduct, document, and follow up on internal DQAs every six months, covering at least 5% of indicators that have undergone two rounds of data collection and analysis.
Mercy Corps Afghanistan has scheduled its first DQA from October 2023 to July 2024. This DQA aims to validate data evidence, calculations, and information from various sources in preparation for the mid-term evaluation. The specific objectives are outlined as follows:
- Evaluate adherence to all MEL minimum standards.
- Enhance the overall MEL system by providing concrete recommendations for data management.
- Review the quality of data provided by Program teams to ensure compliance with USAID data quality standards.
- Assess the efficacy of systems and tools employed for data collection and analysis.
- Evaluate the management information system utilized for recording, maintaining, and reporting data.
- Confirm consistency of reported data across various reporting systems such as TOLA, IPTT, semi-annual, and annual reports.
- Identify potential vulnerabilities affecting the overall credibility and utility of the data.
- Evaluate the level of data security and vulnerability during collection, transfer, storage, and access.
- Assess how program teams and Senior Management utilize data for informed decision-making.
- Propose measures to rectify any identified weaknesses in data management and MEL procedures/systems at the program/field level.
- Provide pertinent recommendations for the mid-term evaluation and future programs.
SCOPE AND EXPECTED OUTCOMES
In order to guarantee transparency and objectivity in the DQA process, Mercy Corps Afghanistan intends to hire an individual consultant for carrying out the DQA and to enlist the Country MEL Manager to oversee the DQA process. The Country MEL Manager representative will also be tasked with training local staff on Mercy Corps' minimum standards, particularly those pertaining to DQA, and their significance within the MEL system.
The specific scope of the work may consist of:
- Select at least five performance indicators: three standard indicators from the TOLA framework and two additional custom indicators recommended by the DQA team.
- Perform the DQA according to data quality standards, focusing on validity, integrity, reliability, precision, and timeliness, as well as adhering to MC Minimum Standard 11 Guidance Note.
- Conduct a comprehensive review of MEL and program reports and datasets related to the selected indicators, including the USAID-BHA Indicator handbook, IPTT, and other relevant documents.
- Create and deploy tools for conducting DQA that clearly outline Mercy Corps' Afghanistan strengths and weaknesses as anticipated for the selected indicators.
- Provide brief training sessions for Program staff, MEL team members, and technical staff to support and validate DQA findings.
- Carry out on-the-ground data and evidence verification in the field corresponding to the indicators that will be identified for the DQA.
- Perform an integrated analysis of all data sources in accordance with MC Minimum Standard 11 Guidance, including procedural reviews, document reviews, trace and verification processes, cross-checks, and statistical checks.
- Conduct briefing sessions with MEL staff, Senior Leadership, and relevant personnel to verify the findings from the assessment.
- Produce and deliver the final report in accordance with Mercy Corps' standards.
The following outcomes anticipated from DQA:
- Develop and Finalize DQA tools for analyzing strengths and weaknesses in data management.
- Training sessions for MEL staff on the significance of DQA and the process and tools required to conduct it effectively.
- Present preliminary findings to MEL and program staff.
- Submit a final report with recommendations and action points for enhancing data quality to the country MEL manager.
Job Requirement
RESPONSIBILITIES
Mercy Corps Afghanistan MEL team will:
- Share the required documents: MEL Plan, IPTT, project documents, demonstrate MIS system
- Help DQA to finalize the list of indicators to be assessed. Note that at least 5% of the indicators that have completed two rounds of data collection and analysis should be assessed.
- Provide evidence and supporting documents for indicators selected.
- Provide access to all required documents and other information about the program.
- Schedule interviews with all required participants and provide translation facilities if required.
- Make travel arrangements for the field trips.
DQA Lead (Consultant):
- Will be responsible for carrying out the internal DQA as the lead member
- Review all documents provided by the MEL team for the DQA.
- Training in country MEL staff for building required capacity for carrying out DQA
- Curry out the field visit for evidence verification
- Prepare presentation for briefing sessions
- Deliver the final report with required recommendations.
The consultant will report to the Country MEL Manager
The consultant will closely work with: BHA program team, MEL Officers and MEL Database Officer.
Selection Criteria
1. Relevant Experience: (25 Points)
- Proven experience in conducting data quality assessments, particularly in similar program contexts.
- Experience working with NGOs, particularly in Afghanistan or similar settings.
- Demonstrated experience with Monitoring, Evaluation, Accountability, and Learning (MEAL) frameworks.
2. Technical Expertise: (20 points)
- In-depth knowledge of data quality assessment methodologies.
- Proficiency in statistical analysis and data management tools (e.g., KOBO, ONA, Excel).
- Familiarity with data collection techniques and tools.
3. Educational Background: (15 Points)
- Advanced degree in statistics, data science, social sciences, or a related field.
- Relevant certifications in data quality, monitoring and evaluation, or related areas.
4. Analytical and Report Writing Skills: (15 points)
- Strong analytical skills and the ability to synthesize complex information into clear, actionable insights.
- Demonstrated experience in writing comprehensive, high-quality assessment reports.
5. Communication and Interpersonal Skills: (10 points)
- Excellent communication skills in English and local languages, both written and verbal.
- Proven track record of presenting findings to varied audiences.
6. Cost effectiveness: (15 points)
- Inclusive and itemized prices that the consultant shall bear to complete this assignment.
Please click on the link Scope of Work (SoW) for Data Quality Assessment (DQA) for more deatils about the Requirements.
Submission Guideline
1. Cover Letter:
- A brief letter summarizing the applicant's interest in the assignment and highlighting relevant experience and qualifications.
2. Curriculum Vitae (CV):
- Detailed CV outlining educational background, work experience, technical skills, and any relevant certifications.
3. Technical Proposal:
- An outline of the proposed approach and methodology for conducting the data quality assessment. (3 pages max)
- A detailed work plan and timeline for completing the assessment
4. Financial Proposal:
- A comprehensive financial proposal, detailing itemized costs for consultant fees, communication, travel, accommodation, and personal expenses for the completion of this assignment. All costs must be covered by the consultant, as MC will not bear any expenses related to the assignment.
5. Sample Reports:
- Examples of previous data quality assessment reports or similar work products.
- References:
- Contact information for at least two professional references who can speak to the applicant’s qualifications and past performance.
6. Certification and Training Documentation:
- Copies of relevant certifications and training certificates.
Please click on the link Scope of Work (SoW) for Data Quality Assessment (DQA) for more deatils about the Requirements.