DATA QUALITY ANALYST

Mission DescriptionThe Data Quality analyst will support the definition and maintenance of a comprehensive data quality management framework ensuring the accuracy, completeness, and reliability of the company’s data assets. The activity involves developing and implementing data quality standards, policies and procedures to uphold the integrity of data across all corporate systems and platforms, working closely with Internal Solution teams and business stakeholders.This scope requires a high level of specialization and demonstrated expertise in Data Quality and Data Observation practices.Main deliverables, activities, and accountabilities:Service Delivery:Work closely with Data teams and Business Units to understand data usage and its impact on business processesCollaborate with application owners, business stakeholders and solution teams to establish the regular monitoring and reporting of data quality based on metrics and benchmarksLead regular data quality assessments to evaluate data accuracy, completeness and consistencyImprove data quality when issues are identified, by performing root cause analysis and coordinating the implementation of corrective actionsDocument data quality issues, resolutions, and improvement initiatives in a clear and concise mannerCollaborate with transformation data-related projects to ensure compliance with data quality standards and organizational goalsPromote the data quality framework across the organization. Working on the adoption of policies and best practices by the different units and stakeholders involvedService Strategy and Evolution:Develop and maintain comprehensive data architecture standards, guidelines and policies aligned with the DAMA frameworkAsses innovation with a continuous improvement mindset. Reviewing and updating regularly the data architecture processes to adapt them to changing needs and technologiesTeam EngagementProvide expertise and guidance on data architecture strategy, methodologies and best practicesCoach and train team members on data architecture principles and the DAMA frameworkCommon Education, Skills and ExperienceBachelor’s or master’s degree in information management, Computer Science, or a related fieldMinimum of 5 years of work experience as a Data Architect, Data Scientist, Data Analyst, or similar roleGood understanding of Travel IndustryProficiency in SQL and in-depth understanding of database structure principlesExperience gathering and analyzing system requirementsGood knowledge of data visualization tools such as QlikSense or PowerBIExperience in Datawarehouse, Integration, Master Data Management and AnalyticsProficiency in Microsoft Office LanguagesMust speak and write fluently in EnglishFrench, German or Spanish are a Plus Soft SkillsStrong self-management skills, and demonstrated experience in knowledge, communication and change management in large Data Projects in a multinational environmentExperience with Multicultural and virtual/remote teamAbility to easily adapt to fast-paced environmentDecision making and priority settings skillsKey experience per Area of expertise:Familiarity with the DAMA framework and its application in data quality managementAgile Methodologies and tools. Safe certification is a plusStrong analytical skills and attention to detailTesting framework and IT services support model for maintenance and evolutionITIL certification is a plus