Senior Analytics Consultant
Villeneuve Loubet, France
Amadeus
Discover how Amadeus' platform and technology help airlines, travel agencies, hotels and others connect, do business, and deliver better travel experiences.Job Title
Senior Analytics ConsultantSummary of the role
Join our Growth & Intelligence team as an Analytics Services Consultant, owning a portfolio of airline clients and partnering with stakeholders up to the C-Level. Youโll work alongside experienced consultants to deliver end-to-end e-commerce optimization - from acquisition strategy through conversion rate enhancement - by turning big-data sets (Amadeus Data Platform, Azure Databricks) into clear, actionable insights via Qlik, Tableau, and Power BI, and ensuring every solution aligns with core business objectives.
In this role, you will
Serve as the lead contact for a portfolio of airline clients, engaging C-Level executives.
Analyze and model client/market data (competitors, products, suppliers) to inform strategic decisions.
Run consulting workshops on e-commerce optimization: media mix, marketing strategy, IBE efficiency, merchandising, upsell, SEO/SEM.
Present concise, data-driven insights and recommendations to all stakeholder levels.
Partner with internal teams to resolve customer pain points and deliver end-to-end solutions.
Use Amadeus Data Platform on Azure Databricks for ad hoc analyses and to build scalable analytics services.
Define, automate, and deliver regular and bespoke reports via internal analytics tools.
Analyze user behavior, conversion funnels, and booking flows to enhance digital experiences.
Build and maintain KPI dashboards, enforcing data-visualization best practices.
Lead AI/ML pilots (demand forecasting, recommendation engines) to boost revenue and work with engineering to embed AI-driven personalization and chatbots into customer applications.
About the Ideal Candidate:
Consulting & Data Analysis:
Strong consulting skills with experience in extracting insights and driving business improvements.
Experience in data analysis and modeling for business insights.
Solid knowledge of digital analytics tools (e.g., Google Analytics, Adobe Analytics).
Familiarity with SQL
Experience in the travel industry is a strong plus.
Data Visualization:
Proven experience in building effective dashboards in Qlik, Power BI, or Tableau.
Ability to enforce best practices in data visualization and reporting.
Big Data & Cloud Technologies:
Experience with Azure cloud technologies, particularly Azure Databricks and Databricks SQL is a strong plus
Familiarity with big data technologies such as Apache Spark, Hadoop, Kafka, and Impala is a plus.
Understanding of Snowflake Data Cloud is a plus.
Experience with Customer Data Platforms (CDPs) to unify and activate customer data is a strong plus
Development & AI (Bonus):
Python scripting for analytics, automation, and basic ML prototyping
Experience piloting or deploying ML models (e.g., forecasting, recommendations)
Exposure to generative AI or integrating AI-driven personalization
Qualifications:
University degree in computer science, business studies, or a related field, or relevant experience.
Other Requirements:
Proven experience in data analysis, consulting, and/or data visualization.
Excellent verbal and written communication skills in English.
Strong problem-solving, analytical, and prioritization skills.
Ability to work collaboratively in a global, multicultural environment.
Proactive, adaptable, and innovative mindset in a fast-paced setting.
Working at Amadeus, you will find:
๐ฏ A critical mission and purpose - At Amadeus, you will be powering the future of travel and pursuing a critical mission and extraordinary purpose.
๐ A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.
๐ Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, through on-the-job training, formal learning activities, and day-to-day interactions with colleagues.
๐ค A caring environment - Amadeus fosters a caring environment, nurturing both a fulfilling career and personal and family life. We care about our employees and strive to provide a supportive work environment.
๐ฐ A complete rewards offer - Amadeus provides attractive remuneration packages, covering all essential components of a competitive reward offer, including salary, bonus, equity, and benefits.
๐ A flexible working model - We want our employees to do their best work, wherever and however it works best for them.
๐ A diverse and inclusive community - We are committed to leveraging our uniquely diverse population to drive innovation, creativity, and collaboration across our organization.
๐ A Reliable Company - Trust and reliability are fundamental values that drive our actions and shape long-lasting relationships with our customers, partners, and employees.
Application process
The application process is easy and fast. Create your candidate profile manually or upload your CV/Resumรฉ.
Are you the one weโre looking for? Apply now!
#LI-EMEA
Diversity & Inclusion
Amadeus is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or a related medical condition), ancestry, national origin, age, genetic information, military or veterans status, sexual orientation, gender expression, perception, or identity, marital status, mental or physical disability status, or any other protected federal, state, or local status unrelated to performance of work involved.
Amadeus endeavors to make https://jobs.amadeus.com/ accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process for Amadeus France, please contact us at accommodations.france@amadeus.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.ย ย
* Salary range is an estimate based on our AI, ML, Data Science Salary Index ๐ฐ
Tags: Azure Big Data Chatbots Computer Science Consulting Data analysis Databricks Data visualization E-commerce Engineering Generative AI Hadoop Kafka Machine Learning ML models Power BI Prototyping Python Qlik Snowflake Spark SQL Tableau
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Salary bonus Team events
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