Data Analytics Officer (UAE Nationals)

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Etihad Airways is recruiting UAE Nationals for a Data Analytics Officer to join the Service Innovation team in Abu Dhabi, transforming operational, guest and service data into trusted datasets, Power BI products and AI driven insights for leadership and product teams. The role spans end to end data engineering, BI storytelling, and applied AI, with responsibility for dashboards on NPS, OCR, catering, IFE and F&B KPIs, data models, security and governance, plus CX deep dives and evolving aviation taxonomies. Ideal candidates have about 3 years in data analysis or engineering, expert Power BI, SQL and Python, cloud experience, and AI tooling know how; familiarity with aviation taxonomy is a plus. To apply, tailor your CV, showcase concrete dashboards and code, highlight stakeholder collaboration and governance, and confirm UAE nationality on the official Etihad careers site, avoiding fraudulent offers.

Job Description

Synopsis:

The Service Innovation Data & Analytics Officer is the data backbone of the Service Innovation portfolio within Product & Hospitality. The role turns operational, guest and service data — from OCR forms, NPS / verbatim surveys, Skypad, Panasonic IFEC, catering systems and culinary planning tools — into trusted datasets, Power BI products and AI-driven insights that leadership, Product, Brand and Hospitality teams can act on.

The role combines three skill sets: data engineering (pipelines, modelling, refreshes), business intelligence (Power BI, DAX, storytelling) and applied AI (LLM-driven classification, summarisation and analysis acceleration), with growing fluency in aviation taxonomies (cabin classes, route/network structure, IATA NPS pillars, ATA references).

Accountabilities:

 Power BI & Reporting

• Build and maintain Power BI dashboards across the portfolio: NPS / OCR, catering performance, Skypad usage, F&B KPIs, IFE / connectivity, menu compliance and project performance.
• Own data models, DAX measures, row-level security, refresh schedules and report documentation.
• Translate stakeholder questions into clear, decision-grade visuals; iterate based on user feedback.

2. Data Engineering & Pipelines

• Engineer and automate data pipelines from Panasonic, Skypad / Comply 365, OCR Power Apps, catering systems and NPS feeds.
• Apply Power Automate, Python and basic cloud tooling (Azure / Fabric where available) to clean, model and standardise inputs.
• Maintain a single source of truth for portfolio reporting — governed, documented, version-controlled.

3. NPS, OCR & CX Deep-Dives

• Lead thematic analysis of NPS verbatims and OCR submissions; produce pillar-level reports for the NPS Workgroup (Crew, F&B, Airport, Technical).
• Maintain and evolve the CX taxonomy in line with airline cabin product classifications and IATA NPS pillars.
• Surface anomalies, recovery trends and product issues with structured recommendations.

4. Applied AI for Analytics

• Use generative AI tooling (Copilot, ChatGPT, Python LLM SDKs) to accelerate analysis: auto-classify feedback, summarise large datasets, draft executive narratives, generate DAX / SQL snippets.
• Build lightweight prompt-based or agentic workflows where they create durable leverage; ensure human review of all outputs.
• Stay current on AI tooling for analytics and propose practical applications.

5. Stakeholder Partnership

• Partner with project leads (NPS Workgroup, Catering Performance, Skypad, FWB, Menu Planner, Etihad Excellence) to shape analytical workstreams.
• Present findings clearly to the Service Innovation Manager, the Manager Strategic Digital Projects and — when called upon — the VP and Steer Co audiences.
• Provide quick training and documentation so dashboards and datasets are self-serve where possible.

6. Data Governance

• Maintain central documentation: definitions, owners, refresh frequency, lineage, access lists.
• Ensure changes are auditable, traceable and aligned with corporate data, security and privacy standards.

Qualifications

• Bachelor's degree in computer science, Data Science, Statistics, Engineering or equivalent; Master's preferred.
• 3 years in data analysis and / or data engineering, ideally in aviation, hospitality or guest-experience-driven industries.
• Expert in Power BI (data modelling, DAX, Power Query, RLS); strong SQL and Python (pandas, ETL).
• Working knowledge of cloud data platforms (Azure Synapse / Fabric / Databricks).
• Demonstrated experience using AI / LLM tooling for data analysis — prompt engineering, RAG patterns, automation of reporting workflows.
• Familiarity with aviation taxonomies: IATA NPS pillars, cabin & product classifications, route / network structures, IATA SSR / SSIM codes, ATA chapters where relevant.
• Strong written and verbal communication; able to translate technical work for non-technical leadership.
• Self-starter with the discipline to scope and deliver semi-autonomously.

Additional Information

Etihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.

To learn more visit www.etihad.com

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