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Publication for
Partner
Partner Name
UNICEF United Nations Children”s Fund
Position Title
Senior Data Analyst
Job Category
Information Management and Analytics
Duty Station(s)
Barcelona
Seniority Level
Mid Level
ICS Level
ICS 10
Contract Type
ICA – IICA – Regular
Contract Level
IICA 2
Posting Start Date
10-Dec-2025
Posting End Date
04-Jan-2026
Duration
30 June 2026, with possibility of extension subject to funding availability, satisfactory performance, and continued business needs.
The Senior Data Analyst will play a key role in leading Giga’s data strategy, ensuring that Giga’s datasets, pipelines, and analytics products are accurate, open, actionable, and impactful. This role will oversee the development of data governance standards, open-source data processes, and analytics frameworks to drive data-informed product and policy decisions.
The UNOPS Global Portfolios Office (GPO) unites the New York Portfolios, including the Peace and Security team (PSC); the Geneva Office; and the Vienna-based Water, Environment and Climate (WEC) teams, to maximize global impact, foster efficiencies and streamline global programmes. Leveraging our collective expertise and networks, GPO supports UNOPS” strategic priorities and the SDGs across over 130 countries. We deliver project management, fund management, advisory services, project implementation, and HR services, working closely with major global partners. Our thematic focus includes sustainable development, climate action, health, peace & security, and humanitarian action.
As part of the Global Portfolios Office, UNOPS Geneva provides comprehensive solutions in secretariat hosting, operational support, and fund management. We manage global programmes, including the Water, Environment and Climate (WEC) Portfolio, offering project management, procurement, HR, and financial services. Geneva hosts the secretariats of eight global partnerships focused on health (RBM, Stop TB, ATscale), nutrition (SUN), water/sanitation (SHF), humanitarian leadership (GELI), urban development (Cities Alliance), and disaster displacement (PDD). We also provide fund management for EIF and UN Water, and operational support to Geneva-based partners like the Global Fund and UNHCR.
Launched in 2019, Giga is a joint initiative by UNICEF and the International Telecommunication Union (ITU) that aims to connect every school in the world to the Internet and every young person to information, opportunity, and choice.
Half of the world’s population still lacks regular Internet access. Millions of children complete school without digital skills, widening the digital divide between the connected and the unconnected—a divide made even starker during the COVID-19 pandemic. Giga seeks to address this inequality by mapping schools, measuring connectivity, and supporting governments and partners to deliver affordable and sustainable Internet access.
To date, Giga has mapped over 2.1 million schools across 140 countries, supported 40+ national governments, and contributed to connecting more than 20,000 schools globally.
The role will be based in Barcelona, Spain, as part of the Giga Barcelona Tech Centre. The consultant’s on-site presence facilitates collaboration, engagement with local partners, and participation in key events.
Under the supervision of the Data & Product Lead, Senior Data Analyst will lead Giga’s data analytics, governance, and open-source data workstreams. The Senior Data Analyst will develop data strategies, manage data pipelines and quality frameworks, coordinate with technical partners, and provide strategic insights to guide Giga’s mission to connect every school to the Internet.
Key Responsibilities:
Data Strategy: Develop and implement Giga’s comprehensive data strategy, defining the vision for data-driven decision-making and analytics innovation.
Open-Source Data Management: Design and execute a plan to open-source Giga’s school geo-location and connectivity datasets, ensuring compliance with data quality and licensing standards.
Data Governance & Quality: Establish and oversee data governance best practices, including data documentation, metadata management, and quality assurance processes using tools such as Datahub, Deltalake, and Great Expectations.
Data Integration & Pipelines: Collaborate with engineers to design, maintain, and optimize robust, scalable, and automated data pipelines ensuring the integrity and timeliness of analytics outputs.
Product Analytics: Build and manage analytics frameworks and dashboards (e.g., in Superset, Grafana, Mixpanel) for Giga’s digital products (such as Giga Maps and Giga Meter) to monitor adoption, performance, and impact.
Network Data Partnerships: Act as a technical lead for data partnerships with Internet Service Providers (ISPs) and network partners, defining requirements and overseeing data integration with Giga’s monitoring systems.
Advanced Analytics & Insights: Develop automated reports, visualizations, and analytical stories to provide actionable insights for internal teams, partners, and the public.
Stakeholder Engagement: Represent Giga’s data initiatives to governments, private sector partners, and open-source communities, organizing data workshops and capacity-building sessions.
Open Data Community Building: Work alongside the open-source community manager to engage contributors, manage data repositories, and drive community participation.
Knowledge Sharing: Contribute to analytical blog posts, internal documentation, and communication materials to disseminate insights and best practices.
3. Monitoring and Progress Controls
Item
Outputs/Deliverables
Month/Year
1
Comprehensive data strategy for Giga developed, documented, and implemented, outlining vision, priorities, and roadmap for data-driven decision-making.
Plan for open-sourcing Giga’s school geo-location and connectivity datasets, ensuring compliance with licensing and data quality and licensing standards.
Ongoing
2
Data governance framework established and maintained, including documentation, metadata management, and quality assurance using tools such as Datahub, Deltalake, and Great Expectations
Ongoing
3
Robust and automated data pipelines designed, maintained, and optimized in collaboration with engineers, ensuring data integrity and timeliness
Ongoing
4
Product analytics dashboards (e.g., Superset, Grafana, Mixpanel) developed and maintained to monitor adoption, performance, and impact of Giga’s digital products
Automated reports, visualizations, and analytical outputs produced to provide actionable insights for internal and external stakeholders
Ongoing
5
Data partnerships with ISPs and network partners managed, with integration requirements defined and data flows established within Giga’s monitoring systems
Data-sharing requirements defined and implementation progress tracked
Ongoing
6
Engagement with governments, private sector partners, and open-source communities maintained through data workshops, capacity-building sessions, and community collaboration
Ongoing
7
Contributions made to blog posts, documentation, and other materials to share findings and promote open data participation.
Ongoing
Data Analysis, Data Governance, Python
Develops and implements sustainable business strategies, thinks long term and externally in order to positively shape the organisation. Anticipates and perceives the impact and implications of future decisions and activities on other parts of the organisation.
Treats all individuals with respect; responds sensitively to differences and encourages others to do the same. Upholds organisational and ethical norms. Maintains high standards of trustworthiness. Role model for diversity and inclusion.
Acts as a positive role model contributing to the team spirit. Collaborates and supports the development of others. For people managers only: Acts as positive leadership role model, motivates, directs and inspires others to succeed, utilizing appropriate leadership styles.
Demonstrates understanding of the impact of own role on all partners and always puts the end beneficiary first. Builds and maintains strong external relationships and is a competent partner for others (if relevant to the role).
Efficiently establishes an appropriate course of action for self and/or others to accomplish a goal. Actions lead to total task accomplishment through concern for quality in all areas. Sees opportunities and takes the initiative to act on them. Understands that responsible use of resources maximizes our impact on our beneficiaries.
Open to change and flexible in a fast paced environment. Effectively adapts own approach to suit changing circumstances or requirements. Reflects on experiences and modifies own behavior. Performance is consistent, even under pressure. Always pursues continuous improvements.
Evaluates data and courses of action to reach logical, pragmatic decisions. Takes an unbiased, rational approach with calculated risks. Applies innovation and creativity to problem-solving.
Expresses ideas or facts in a clear, concise and open manner. Communication indicates a consideration for the feelings and needs of others. Actively listens and proactively shares knowledge. Handles conflict effectively, by overcoming differences of opinion and finding common ground.
Required
Advanced university degree (Master’s or higher) in Statistics, Data Analytics, Computer Science, or a related field is required.
A first University Degree (Bachelor`s degree or equivalent) in a relevant field combined with 2 additional years of professional experience may be accepted in lieu of an Advanced University Degree.
Required
Minimum of 5 years of professional experience in data analytics, data engineering, or related field is required.
Experience managing geo-spatial and/or internet network datasets and conducting product analytics is required.
Hand-on experience with open-source analytical stacks such as Superset, Trino, QGIS, Kepler, Mapbox, Carto, PostgreSQL, and Dagster is required.
Experience with Python and SQL for data analysis and automation is required
Experience implementing data governance and data quality frameworks using tools such as Datahub, Deltalake, or Great Expectations is required.
Desired
Experience with product analytics tools (e.g., Matomo, Grafana, Mixpanel)
Experience working in agile environments using collaboration tools such as Slack, Jira, and Zoom.
Knowledge of computer networks and understanding of Internet Service Provider (ISP) systems is an asset.
Demonstrated commitment to data quality, reproducibility, and actionable insights.
Experience in developing countries or familiarity with humanitarian/emergency contexts is an asset.
LanguageProficiency LevelRequirementEnglishFluentRequiredChinese, MandarinFluentDesirableRussianFluentDesirableArabicFluentDesirableFrenchFluentDesirableSpanishFluentDesirable
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