Data Analytics Officer (UAE Nationals)

Synopsis

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

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