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Data Analytics Officer; UAE Nationals

Job in Abu Dhabi, UAE/Dubai
Listing for: ConnectsBlue
Full Time position
Listed on 2026-06-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 130000 AED Yearly AED 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Data Analytics Officer (UAE Nationals) - Apply
# Data Analytics Officer (UAE Nationals) - Apply Etihad Airways5

Abu Dhabi, AEPosted 6/18/2026### AI Match Score Based on your profile & preferences 0%
Looking for a
** Data Analytics Officer (UAE Nationals) - Apply
** role in
** Abu Dhabi, AE**? This position at
** Etihad

Airways5
* * is an excellent opportunity for professionals looking to advance their career. Browse the full job description below to see if you're a match and add it to your board.###

Job Description Company

Description:

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 work streams.
• 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 &…
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