Data Quality Controller Consultant

The consultancy will support IOM’s Data & Analytics Unit in ensuring the integrity, accuracy, and accountability of data collected under the Displacement Tracking Matrix (DTM) and related field operations. Reliable and high-quality data are essential for IOM’s evidence-based decision-making, reporting, and coordination with partners and government stakeholders.

The Data Quality Controller (Consultant) will be responsible for the continuous verification, validation, and quality assurance of all field data submissions collected through IOM’s DTM tools and platforms (e.g., Kobo/ODK). The role will contribute to maintaining harmonized data standards, improving workflows between field teams and central coordination units, and ensuring compliance with established Standard Operating Procedures (SOPs) and data protection principles.

Tasks to be performed under this contract:

1. Review and verify incoming field submissions for completeness, accuracy, coherence, and adherence to DTM methodologies and SOPs.
2. Conduct systematic quality checks for duplicates, logical/skip-logic errors, GPS inaccuracies, invalid codes, and missing responses.
3. Liaise with enumerators and field supervisors to clarify data anomalies, request corrections, and ensure timely resubmissions.
4. Promote standardized application of DTM tools, forms, and operational protocols across all field teams.
5. Maintain and routinely update QA tracking logs, error databases, and feedback matrices; document all revisions and corrective actions.
6. Provide day-to-day support to field teams on data collection tools (Kobo/ODK), workflows, device setup, and troubleshooting.
7. Facilitate two-way communication between field staff and central DTM teams (Area Coordination, IM, and Operations).
8. Monitor submission progress and flag operational bottlenecks or delays to ensure timely completion of data collection cycles.
9. Participate in enumerator briefings, debriefings, and deliver refresher training on data quality and SOP compliance.
10. Support pilot testing and version control of data collection tools, including feedback consolidation.
11. Prepare QA summaries, data-quality dashboards, and periodic internal reports.
12. Ensure field data collection aligns with IOM’s data protection principles and ethical standards.
13. Contribute to lessons learned and recommendations for improving workflows and data quality assurance systems.
14. Support IOM/Unit team in coordination with local authorities and stakeholders on operational issues, as needed.
15. Report regularly to the National Officer – Area Coordination on implementation progress, irregularities, and shortfalls.
16. Perform such other duties as may be assigned.

    Performance indicators for the evaluation of results. 

    📚 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗛𝗼𝘄 𝘁𝗼 𝗚𝗲𝘁 𝗮 𝗝𝗼𝗯 𝗶𝗻 𝘁𝗵𝗲 𝗨𝗡 𝗶𝗻 𝟮𝟬𝟮𝟯! 🌍🤝 𝗥𝗲𝗮𝗱 𝗼𝘂𝗿 𝗡𝗘𝗪 𝗥𝗲𝗰𝗿𝘂𝗶𝘁𝗺𝗲𝗻𝘁 𝗚𝘂𝗶𝗱𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗨𝗡 𝟮𝟬𝟮𝟯 𝘄𝗶𝘁𝗵 𝘁𝗲𝘀𝘁 𝘀𝗮𝗺𝗽𝗹𝗲𝘀 𝗳𝗼𝗿 𝗨𝗡𝗛𝗖𝗥, 𝗪𝗙𝗣, 𝗨𝗡𝗜𝗖𝗘𝗙, 𝗨𝗡𝗗𝗦𝗦, 𝗨𝗡𝗙𝗣𝗔, 𝗜𝗢𝗠 𝗮𝗻𝗱 𝗼𝘁𝗵𝗲𝗿𝘀! 🌐

    ⚠️ 𝐂𝐡𝐚𝐧𝐠𝐞 𝐘𝐨𝐮𝐫 𝐋𝐢𝐟𝐞 𝐍𝐨𝐰: 𝐏𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬 𝐡𝐨𝐰 𝐭𝐨 𝐠𝐞𝐭 𝐚 𝐣𝐨𝐛 𝐢𝐧 𝐭𝐡𝐞 𝐔𝐧𝐢𝐭𝐞𝐝 𝐍𝐚𝐭𝐢𝐨𝐧𝐬 𝐍𝐎𝐖!

    40 hours of work per week. Data collection submissions verified and approved according to DTM SOPs and quality standards. QA tracking and error correction logs maintained and updated weekly. Enumerators receive timely feedback and support. QA summaries and progress reports submitted as per agreed schedule. Data integrity issues reduced progressively over the contract period.

     

      Education

    University degree in statistics, information management, computer science, geography, social sciences, or a related field. 

    Experience
    • Minimum three years of professional experience in data quality control, data collection management, or information management.
    • Experience with data collection platforms (e.g., KoboToolbox, ODK, Survey CTO) and QA workflows.
    • Familiarity with DTM methodologies or large-scale humanitarian data collection preferred.
    • Poven ability to perform logical consistency checks and troubleshoot technical field issues.
    • Experience in coordinating with enumerators or field-based data collection teams. Skills
      • Advanced Excel skills and working knowledge of data cleaning/validation techniques.
      • Good understanding of relational data structures and basic statistical quality control methods.
      • Ability to identify data anomalies and communicate solutions clearly.
      • Excellent organizational, analytical, and coordination skills.
      • Strong attention to detail and adherence to data protection standards. Languages
        • Fluency in the Ukrainian language.
        • Knowledge of the English language at least at the pre-intermediate level. IOM’s official languages are English, French and Spanish. Proficiency of language(s) required will be specifically evaluated during the selection process, which may include written and/or oral assessments.   Travel required
          • No Required Competencies   IOM’s competency framework can be found at this link. Competencies will be assessed during the selection process.   Values - all IOM staff members must abide by and demonstrate these three values:
          • Inclusion and respect for diversity: Respects and promotes individual and cultural differences. Encourages diversity and inclusion.
        • Integrity and transparency: Maintains high ethical standards and acts in a manner consistent with organizational principles/rules and standards of conduct.
      • Professionalism: Demonstrates ability to work in a composed, competent and committed manner and exercises careful judgment in meeting day-to-day challenges.
    • Courage: Demonstrates willingness to take a stand on issues of importance.
17. Empathy: Shows compassion for others, makes people feel safe, respected and fairly treated. Core Competencies – behavioural indicators
18. Teamwork: Develops and promotes effective collaboration within and across units to achieve shared goals and optimize results.