We are a global leader in sustainable and responsible airport services provision, renowned for our unwavering commitment to safety, operational excellence, and exceptional service, shaping a future where air travel thrives on reliability, efficiency, and experience.
Location Location: Madrid, Hybrid
About Swissport We are a global leader in sustainable and responsible airport services provision, renowned for our unwavering commitment to safety, operational excellence, and exceptional service, shaping a future where air travel thrives on reliability, efficiency, and experience.
In 2023, with the support of more than 60,000 colleagues, Swissport provided best-in-class airport ground services for some 232 million airline passengers and handled roughly 4.7 million tons of air freight at 115 cargo centres. Across a general network that is unparalleled in the industry, Swissport served airlines at 286 airports in 44 countries across six continents.
These values are at the core of our culture, shaping our business and underpinning our commitment to measuring our impact.



They capture the essence of who we are at Swissport and help us deliver value across the entire company.
"So, whatever we do, we do it purposefully and consciously, taking in the perspective of our colleagues, customers, and passengers.
"Job Summary Support a major system implementation by extracting, analysing, cleansing, transforming and validating large volumes of data from legacy systems for migration into a new enterprise platform. The successful candidate will ensure data is accurate, complete and fit for purpose by applying data quality standards, business rules and reconciliation processes throughout the migration lifecycle.
Extract high-volume datasets from multiple legacy systems using appropriate database query and extraction tools.
Analyse complex datasets to identify data quality issues, inconsistencies, duplicates and missing information.
Cleanse, standardise and transform data in accordance

📌 Data Analyst Sql Server (Madrid)
🏢 Swissport
📍 Madrid