Learning and Skills Data Lab Consultant

UN Atlas; Toscana; Remote; EUR 70,000 - 110,000; Full time

Job summary

UNICEF is seeking a data-focused consultant to support the development of a global learning assessment data portal. The role emphasizes data integration, harmonization, and visualization to improve access to comparable reading and numeracy data.

You will work with international datasets and help shape data standards, governance, and reporting for education decision-making at global scale. Remote consultancy, requiring strong collaboration with education specialists and technical teams.

Qualifications

• Experience with data structures, data analysis and building data pipelines.
• Experience with large-scale national or international assessment datasets is desirable.
• Data privacy and security considerations in handling education data.

Responsibilities

• Integrate data from regional and international learning assessments into a unified global data portal.
• Develop and implement data management strategies to ensure data quality and accessibility.
• Harmonize diverse datasets to enable comparability across regions and assessments.
• Design and build data visualization tools and dashboards to present findings clearly.
• Collaborate with technical teams and education specialists to meet user needs.
• Contribute to data standards and documentation of data sources and methodologies.

Skills

Data Management

Data Harmonization

Data Visualization

SDMX

Github

R

Python

Household Survey Data Analysis

Large-scale Assessment Data

Data Pipelines

Data Structures

Evidence Generation

Tools

Github

SDMX

Job description

Work arrangement Remote / Home-based

Organizational Context

UNICEF works in over 190 countries and territories to save children’s lives, defend their rights, and help them fulfill their potential. We are committed, passionate, and proud of what we do for as long as we are needed. Promoting the rights of every child is not just a job – it is a calling.

Job Purpose

This consultancy aims to support the development of UNICEF’s global learning assessment data portal. The consultant will integrate data from multiple regional and international assessments into a single platform, focusing on data management, harmonization, and visualization. The goal is to improve access to comparable foundational learning data in reading and numeracy. This will strengthen evidence generation, monitoring, and inform education decision-making processes to better support children's learning outcomes globally. The role is crucial for enhancing UNICEF's capacity to leverage data for programmatic impact and advocacy.

Responsibilities

Integrate data from various regional and international learning assessments into a unified global data portal. Develop and implement data management strategies to ensure data quality, consistency, and accessibility. Harmonize diverse datasets to enable comparability across different assessments and regions. Design and build data visualization tools and dashboards to present key findings and trends effectively. Collaborate with technical teams and education specialists to understand data requirements and user needs. Contribute to the development of data standards and protocols for learning assessments. Support the documentation of data sources, methodologies, and processes. Assist in troubleshooting data-related issues and implementing solutions. Ensure data privacy and security protocols are adhered to throughout the project lifecycle. Provide technical guidance on data analysis and interpretation to stakeholders. Contribute to the overall strategy and roadmap for the learning assessment data portal. Prepare regular progress reports and presentations on project activities and outcomes.

Work Experience

At least 5 years of experience working with data structures, data analysis, and building data pipelines. Experience with large-scale national or international assessment datasets is highly desirable.

Skills

Data Management, Data Harmonization, Data Visualization, SDMX, Github, R, Python, Household Survey Data Analysis, Large-scale Assessment Data, Data Pipelines, Data Structures, Evidence Generation

Languages

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