Data Analyst

The Innovation, Hybrid & Cyber (IHC) Division provides a coordinated approach for NATO to the emerging security challenges of the 21st Century. It serves as NATO HQ’s focal point for policy development on issues linked to innovation and Emerging and Disruptive Technologies (EDTs), Data and Artificial Intelligence (AI) Policy, cyber, hybrid, energy security, security of critical undersea infrastructure, as well as the impact of climate change on security.

The Division also promotes security cooperation on these challenges through a variety of different programmes, with Allies and with Partner nations, as well as with industry, academia and with other International Organisations (IO).

The Data & Artificial Intelligence Policy Unit (DAIP) is responsible for advocating, leading, and helping manage the responsible adoption of data and AI policies and technologies for NATO. It provides policy leadership, drives policy adoption, and establishes high-level frameworks and enablers to empower NATO to draw value from both open source and NATO and Allied generated data focusing on Alliance operations and missions.

The Data Analyst will contribute to shaping and delivering data and AI projects, initiatives, and tools that aim at enhancing NATO’s processes. S/he will work closely with IHC’s leadership team and other sections of the Division, as well as with other stakeholders across NATO. S/he will be responsible for translating policy requirements and needs of decision-makers into data-driven solutions. This will also include collecting data from various sources, analysing, present, and reporting on them using modern tools and methodologies to help provide insights and recommendations.

QUALIFICATIONS AND EXPERIENCE

ESSENTIAL

The incumbent must:

• hold a masters’ degree from an institute of recognized standing in a relevant STEM discipline, such as: Data Science, Machine Learning, Mathematics/Statistics, Computer Science or Engineering;

• have 5 years of relevant professional experience in data analysis and/or data science;

• have proven experience in developing reports with data visualisation and the ability to explain and present data as a convincing story, especially to non-technical audiences and to leadership;

• have proven experience with state-of-the-art data science, analytics and data visualisation tools, as well as programming languages, such as Python or SQL;

• have a good understanding of critical developments relating to data and AI, including technology, tools, research and market developments, and in particular of their defence and security implications;

• have experience in handling large datasets and conducting complex data analysis in a secure, sensitive environment;

• have strong analytical and problem-solving skills;

• have good drafting and presentation skills and previous experience working in a dynamic environment with diverse stakeholders;

• have proven ability to work effectively in a team;

• Possess the following minimum levels of NATO’s official languages (English/French): V (“Advanced”) in one; I (“Beginner”) in the other.

DESIRABLE

The following would be an advantage:

certifications in data science, analytics platforms, project management or relevant tools (e.g., Tableau, Power BI etc.).

• experience in user training and mentoring on data analysis and/or AI tools, methodologies, etc.;

• good understanding of the impact of personal data protection and responsible AI rules and guardrails on data science and AI implementations;

• solid knowledge of current international security developments, and an understanding of the Alliance’s political-military decision-making process;

• knowledge of NATO structure and activities;

• previous relevant professional responsibilities in a national administration or in an inter-governmental institution;

• good understanding of international politics relating to data and AI policy development, information technology governance and security issues.

MAIN ACCOUNTABILITIES

Expertise Development

Support ongoing efforts both within IHC and across the NATO enterprise to enhance data-driven decision making in different policy domains, from energy security and innovation policies through to cyber and hybrid policy. Support leadership and decision makers in understanding the potential as well as the limitations of data science and AI in different contexts, including through the increased use of data analysis reports, data visualisation and data storytelling. Harness modern data analysis tools and methodologies to collect, analyze, and present data.

Project Management

Collect and manipulate large, complex datasets for analysis. Develop data models,