Digital Analyst

To help answer the highest value analytical problem statements posed by different teams and departments across Etihad Airways to the Digital & eCommerce team.

Reporting to the Digital Analytics Manager and working under the guidance of the Digital Engagement Senior Manager, he/she should leverage their advanced analytical skills and leverage the wider analytical toolkit, to analyse and visualize Etihad’s digital and enterprise data resources. Also, he/she should have strong communication and interpersonal skills, to effectively work across a multi-disciplined environment

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He/she will be encouraged to develop their skills and techniques for the analysis of data and problem solving, to stay up-to-date with industry leading Digital Analytics capabilitie

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Accountabilit

• ies
  Analyze requirements and identify or design the solution to a pro
• blemExecute complex, ad-hoc analyses utilizing Etihad’s wider analytical toolkit proactively looking for further insights and root c
• auseSummarize / visualize results and highlight likely insights for the business translator to dev
• elopMaintain documentation repository of solutions, to include methodo
• logyIdentify opportunities for automation and improvements to approach in each analysis performed, make recommendations to wider team as to priorities for further develop
• mentDevelop and maintain proficiency with Adobe, Google Analytics, Tableau, Power BI and other advanced analytic and database tools, in-house data sets, and other resou
• rcesWill be encouraged to develop one or more specializations in Etihad’s key analytical disciplines (see required skills) and become the ‘go-to’ person among peers in that field. Act as an expert and coach to wider analytics

team
Education & Exper

• ience
  Minimum 3 years of relevant experience in digital analytics, reporting and database management and/or Data Science models used in commercial/digital processes. Experience within the aviation industry in the areas of Digital Analytics, Business Analytics would be pre
• ferredMinimum Bachelor’s degree in Computer Science, Statistics, Information Technology or related field. Additional qualifications in analytical disciplines and techniques an adv
• antageProven track record of managing successful digital analytical models and repo
• rting.Strong analytical and problem-solving skills, with the ability to use data to drive decision-m
• aking.Good project management skills, with the ability to manage multiple projects simultane