Organizational Setting
The Division of Information Technology provides support to the IAEA in the field of information and communication technology (ICT), including information systems for technical programmes and management. It is responsible for planning, developing and implementing an ICT strategy, for setting and enforcing common ICT standards throughout the Secretariat and for managing central ICT services. The IAEA's ICT infrastructure comprises hardware and software platforms, and cloud and externally-hosted services. The Division has implemented an IT service management model based on ITIL (IT Infrastructure Library) and Prince2 (Projects in a Controlled Environment) best practices.
Main Purpose
The Consultant – Data Management and Analytics supports the Chief Data Officer (CDO), Data Architect, and Data Analysts in aligning data strategies with organizational goals. He/she applies statistical and computational techniques to extract actionable insights from large, complex datasets. He/she contributes to the design, implementation, and deployment of scalable, reliable, and secure data solutions in business environments.
Functions / Key Results Expected
1. Support the Chief Data Officer (CDO), Data Architect, and Data Analysts in aligning data strategies with organizational goals. Apply statistical and computational techniques to extract actionable insights from large, complex datasets. Contribute to the design, implementation, and deployment of scalable, reliable, and secure data solutions in business environments.
2. Work closely with data engineers and architects to define data requirements and ensure comprehensive data accessibility. Assist in applying analytical methods, including machine learning and deep learning algorithms, to identify complex patterns and trends. Participate in data cleaning, statistical analysis, and the creation of visualizations to communicate findings effectively to diverse stakeholders.
3. Provide actionable, data-based recommendations to support strategic and operational decision-making. Conduct exploratory data analysis, data transformation, and trend identification. Develop predictive models using techniques such as linear/logistic regression, neural networks, decision trees, and experimental design.
4. Collaborate with business departments to support the development of data products tailored to specific operational and strategic needs. Assist in translating business requirements into technical specifications and contribute to the design and prototyping of data-driven applications. Use statistical programming languages (e.g., Python, R) and database querying tools to automate workflows and enhance data accessibility.
5. Assist in the implementation and maintenance of Data Lakehouse architecture. Support data modeling, data integration, and data engineering tasks under the guidance of senior team members. Participate in data ingestion, transformation, and quality assurance processes to ensure a unified and efficient data platform.
6. Help interpret and consolidate large volumes of data into clear, actionable insights. Support the CDO in communicating analytical results and their implications to business stakeholders. Contribute to the development and maintenance of data governance frameworks, including: Data Governance Policies, Data Quality Management Standards, Data Analytics Guidelines, Data Cataloging and Lineage Practices, and any other Governance and Compliance Frameworks
Qualifications and Experience
Bachelor's Degree - University degree in Computer Science, Data Management, Information Management, Data Analytics, Statistics, Engineering, or a related field or a relevant field
Advanced university degree (Master's or equivalent)
A first-level university degree in Computer Science, Data Management, Information Management, Data Analytics, Statistics, Engineering, or a related field or a relevant field. .
Minimum of one year of relevant experience in one or more of the following areas: Data Management or Information Management, Data Science or Analytics, Data Engineering, Artificial Intelligence (AI) or Machine Learning (ML)
Technical Skills:
• Familiarity with Data Lakehouse architectures, data governance tools, and database systems
• Hands-on experience with SQL, Python, and/or R for data manipulation, analysis, and automation
• Proficiency in data visualization and reporting tools such as Tableau, Power BI, and Excel
• Understanding of data marketplaces and the Data-as-a-Service (DaaS) concept
Analytical & Communication Skills:
• Strong analytical and problem-solving skills to interpret complex datasets and generate meaningful insights
• Ability to communicate technical findings clearly and effectively to both technical and non-technical stakeholders
Remuneration
The remuneration for this consultancy is a daily fee of up to a maximum of € 170, based on qualifications and experience. In case duty travel is required within the assignment, a daily subsistence allowance (DSA) and travel costs are provided. Health coverage and pension fund are the responsibility of the incumbent.