IATA is looking for a Data Governance & Analytics Intern

Employment Type: Internship

Contract Duration: 6 months extendable to 11 months

At IATA, we speak for the airlines of the world, serving and supporting over 300 of them across all continents. We are passionate and knowledgeable about the aviation industry, and we strive to make it safer, smarter, more sustainable and more inclusive. We celebrate diversity and inclusion in our workforce, and we respect and value the different backgrounds, perspectives and skills of our employees. We also care about our employees' wellbeing, and we provide flexible work arrangements, travel benefits, family-friendly policies, equal pay and a day off on your birthday. We believe in giving back to the community and encourage our staff to participate in volunteering activities that support causes they care about. We encourage you to join our global community of aviation enthusiasts, and we will do our best to make you feel comfortable during the interview process. IATA is more than a trade association; it is a vision of a better future for air travel.

About the team you are joining

Part of the Information and Data (I&D) Division, the Data Governance team defines and implements modern data practices that make data and analytics easier to find, safer to use, and more trustworthy. We help teams across the organization get consistent definitions, high quality datasets, and clear rules for access and usage, so decisions are based on reliable information. We work closely with data engineering, data product teams, security, and business stakeholders to improve how data is collected, documented, validated, shared, and monitored across its full lifecycle.
Reporting to the Senior Manager, Data Governance, you will support the delivery of practical, hands-on data governance and analytics enablement. This is a technical internship with exposure to cloud data platforms, data quality, metadata, and security minded ways of working.

You will contribute to initiatives such as data catalogue and metadata enrichment, dataset onboarding, data quality controls, and light engineering tasks that support automated governance.

What your day would be like

You will work with data professionals and subject matter experts across multiple activities spanning the data lifecycle. Typical responsibilities include:

• Support the onboarding and documentation of datasets by capturing business context, definitions, owners, and key quality expectations.
• Help build and run data profiling and data quality checks, then summarize findings and propose improvements.
• Assist with metadata and governance tasks such as classification labels, access requirements, retention considerations, and usage guidance.
• Contribute to basic data pipeline and automation work, for example SQL transformations, Python utilities, and validation scripts that support quality and governance processes.
• Support cloud-based data work where needed, for example helping teams understand datasets stored and processed in an AWS environment and how they flow into analytics platforms.
• Help produce simple and clear analytics outputs, including Power BI dashboards or exploratory analysis to support business questions.
• Support ad hoc requests for analysis, extracts, and quality investigation, always with a focus on traceability and responsible data use.

We would love to hear from you if

• A recent (within 1 year) Undergraduate or Graduate degree in computer science, data science, statistics, applied mathematics, engineering, operational research, or a related field.
• Solid foundations in data concepts such as data modelling basics, data quality, analytics, and lifecycle thinking.
• Working knowledge of SQL and a good understanding of relational databases.
• Good knowledge of Python or R, ideally used for data analysis, automation, or validation.
• Familiarity with BI tools, ideally Microsoft Power BI.
• Comfort communicating with both technical and non-technical audiences, with clear and structured writing.
• Fluent reading, writing, and speaking abilities in English.

Nice to Have:

• Exposure to AWS or cloud computing concepts, for example storage, access controls, and basic data processing services.
• Interest or experience in data governance, metadata management, data catalogues, or data security and privacy concepts.
• Familiarity with modern data stack tools and practices such as version control, automated checks, and repeatable transformations.
• Curiosity about aviation industry data and how industry standards and reference data are used in analytics.

Travel Required: N

Learn more about IATA's role in the industry, our benefits, and the team at iata/careers/. We are looking forward to hearing from you!

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