Overview
The Data Cleaning & Quality Assurance Consultant will play a key role in preparing datasets by cleaning, validating, and standardizing data to ensure its reliability and usability for the Digital Archiving and AI-enabled document processing programme.
Key Responsibilities
- Review raw datasets (Excel, CSV, shapefiles) for completeness, accuracy, and consistency.
- Identify and correct duplicates, missing values, and format inconsistencies.
- Standardize project naming conventions, location data, and sectoral classifications.
- Collaborate with the team to ensure all datasets are compatible for integration.
- Perform quality assurance checks on finalized layers and project attributes.
- Document the data cleaning procedures for replication and transparency.
Required Experience
- At least 1 years of relevant professional experience in data management, data review, quality assurance, reporting, or administrative support functions (Desirable).
- Experience working with datasets, records, spreadsheets, or information tracking systems (desirable).
- Experience supporting data verification, document review, or quality control processes (desirable).
- Understanding of civil registration systems and processes (desirable).
- Understanding of humanitarian and development contexts including prior programme or project management experience (desirable).
Qualifications
- Advanced university degree (Master’s degree or equivalent) in social sciences, statistics, information management, public administration, international development, humanitarian affairs, or a related field.
- For applicants who have a first level university degree, two additional years of qualifying work experience is required.
- Familiarity with Microsoft Excel and standard office applications is required.
