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Data Analytics Officer (UAE Nationals)

Etihad
Abu Dhabi, UAE
Full Time
Mid
4 weeks ago
Power BISQLPythonData EngineeringData AnalysisDAX
Free

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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 into trusted datasets, Power BI products and AI driven insights.
  • Combines data engineering, business intelligence and applied AI with growing fluency in aviation taxonomies.

Accountabilities

  • 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.
  • 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) to clean, model and standardise inputs.
  • Maintain a single source of truth for portfolio reporting — governed, documented, version controlled.
  • Lead thematic analysis of NPS verbatims and OCR submissions; produce pillar level reports for the NPS Workgroup.
  • 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.
  • Use generative AI tooling (Copilot, ChatGPT, Python LLM SDKs) to accelerate analysis.
  • Build lightweight prompt based or agentic workflows where they create durable leverage; ensure human review.
  • Stay current on AI tooling for analytics and propose practical applications.

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.

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