Hotel Content Data Analyst (Product and Customer activation)

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Amadeus

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Segment

Job Description

Job Title

Hotel Content Data Analyst (Product and Customer activation)

Role Summary

Provides data expertise necessary for customer product activations, data updates in production, operational support to implementations, data monitoring, investigations of IR/PTRs and solution findings through data correction, escalation & follow-up

Key Responsibilities

Common accountabilities

  • Has the required technical/functional knowledge and experience in own discipline. Knowledge of the Amadeus business and how it is related to own area.
  • Works using existing procedures or guidelines and provides inputs to support/influence area decisions. Makes recommendations on new solutions and proposes improvements by analyzing different sources of information.
  • Works with a moderate level of guidance and direction from manager.

Specific Accountabilities

At the entry level Data analyst is accountable of Data Maintenance & Data Management activities:

  • Ensure correct & appropriate Data is received from Customers & Providers as defined by SLA
  • Ensure total integrity of product-related Data according to products and customer segment
  • Provide Quality Analysis , Quality Checks & monitoring on product Implementation project
  • Support production by solving & monitoring data Problem (IRs/PTRs) respecting SLA

After recognised experience, Data analyst is also accountable for sharing his knowledge and bring value to customers

  • Deliver content management training/workshop to Amadeus staff
  • Ensure to optimize product usage by Customers through all means : audits, recommendations, workshops..
  • Review & improve processes & procedures to reach optimization and knowledge transfer

At a higher level of successful practices & knowledge sharing, experienced incumbents are also responsible for leading and managing projects in full autonomy

  • Deliver consultancies / services on their domain Review & improve processes & procedures to reach optimization and knowledge transfer
  • Provide consultancy to optimize customer via audits, recommendation, pre-sales action, workshops, training to appropriate audiences
  • Identify , develop and build new services to deliver to customers
  • Plan and Lead “Data Management” project within expected Quality , Timing , Budget
  • Continuously Communicate & Develop their expertise recognition to customers & internal clients

About The Ideal Candidate

  • Bachelor’s degree in Information Technology, Computer Science, Business, or any related field (or equivalent experience).
  • 1–3 years of experience in data management, customer support, technical support, or similar roles.
  • Experience in travel, hospitality, e‑commerce, or SaaS environments is an advantage.

What We Can Offer You

  • A meaningful mission contributing to the future of travel.
  • A truly global culture reflected in our people, operations, and ways of working.
  • Continuous learning opportunities through on‑the‑job experience, formal programs, and daily collaboration.
  • A supportive environment that encourages both professional development and personal well‑being.
  • A comprehensive rewards package, including compensation, bonus opportunities, and health and caregiving benefits.
  • A flexible working model that helps you do your best work.
  • A diverse and inclusive community committed to ensuring everyone can thrive.
  • A trusted company that values dependable and long‑lasting relationships with customers, partners, and employees.

Diversity & Inclusion

Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience. 

Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law. 


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