Join to apply for the (Multiple Locations) Data Analyst role at Joinrs España
Join to apply for the (Multiple Locations) Data Analyst role at Joinrs España
Data Analyst, Hospitality Industry
Excited to be part of the Big Data revolution transforming the future of travel?
We are looking for a curious, analytical, innovative, and detail-oriented Data Analysts to join our growing “Travel Intelligence Data Ecosystem” team, at ForwardKeys, an Amadeus company.
In this role, you'll transform business questions into actionable insights using data, collaborate closely with internal teams, and contribute to the development of data-powered products in the travel and aviation space.
This is a great opportunity for a motivated analyst to gain hands-on experience in a dynamic, international company at the intersection of travel intelligence and data science.
In this role you’ll
* Collaborate with internal and external stakeholders to understand business needs and translate them into data analysis and data science projects.
* Collect, clean, and analyze data using SQL and business intelligence tools to extract meaningful insights.
* Build easy-to-understand, interactive dashboards and reports using tools like Power BI, and communicate findings to both technical and non-technical audiences.
* Support the development and validation of data views and prototypes that contribute to product features.
* Help maintain high standards of data quality, integrity, consistency, usability, compliance, and documentation.
* Provide pre-sales and customer support on data-related topics for internal and external customers.
About the ideal candidate
* Proficient in SQL and comfortable working with large and complex datasets.
* Experience creating interactive dashboards using tools like Power BI, Metabase, or Tableau.
* Comfortable using Excel for data exploration or reporting tasks.
* Effective written and verbal communication skills in English (minimum working proficiency).
* Collaborative and effective communicator who enjoys problem-solving and learning with others.
Helpful experience
While not required, the following skills and experiences can support your growth in this role :
* Familiarity with Python for data manipulation or automation.
* Experience with big data tools such as Apache Spark, Databricks, or data lake technologies.
* Understanding of machine learning techniques (e.g., regression, classification, clustering) and how they add business value.
* Exposure to MLOps tools such as SageMaker or MLflow.
* Experience with cloud platforms such as Amazon Web Services (AWS), including S3, Glue, or Athena.
* Understanding of Agile methodologies such as Scrum or Scaled Agile Framework (SAFe), and tools like Jira or Confluence.
* Familiarity with travel industry datasets (e.g., aviation, bookings, hotel, or travel search data).
What we can offer you
* A critical mission and purpose – At Amadeus, you'll power the future of travel with a critical mission and extraordinary purpose.
* A truly global DNA – Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.
* Great opportunities to learn – Learning happens all the time and in many ways at Amadeus, from on-the-job training to formal activities, and daily interactions.
* A caring environment – Amadeus fosters a caring environment that supports both professional growth and personal well-being.
* A complete rewards offer – Amadeus provides attractive compensation packages, including salary, bonus, caregiving and health benefits.
* A flexible working model – Embrace our flexible working model, enabling you to excel wherever and however you work best.
* A diverse, equitable, and inclusive community – We are committed to enabling each employee to reach their full potential by fostering a culture of belonging and fair treatment.
* A reliable company – Trust and reliability are fundamental to shaping our relationships with customers, partners, and employees.
Application process
The application process is easy and fast. Create your candidate profile manually or upload your CV / Resumé.
Seniority level
* Seniority level Entry level
Employment type
* Employment type Full-time
Job function
* Job function Engineering, Information Technology, and Analyst
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