Main responsibilities:

Work with business stakeholders (Global and Country teams) to understand requirements for data use, analysis, and quality
Manage requirements elicitation, analysis and documentation processes to capture business and end user needs. Prioritize needs within and across projects based on business impact
Support business case creation
Communicate solution tradeoffs to business stakeholders to frame and influence project decisions
Engage delivery teams to communicate solution vision and priorities
Promote architectural standards and consistency
Promote usability standards and design solutions with a high-quality, effortless UX
Proactively monitor industry, functional, and technology trends to guide business partners on emerging opportunities
Assess the risks of solution options and develop plans to mitigate them
Support enterprise digital strategy and organizational change management
Define, set up, and execute test cases to validate that the solution meets functional and non-functional requirements
Ensure that data is managed / analyzed in compliance with applicable quality, regulatory (Data Privacy, GxP, SOX, etc.) and cybersecurity requirements
Identify and aggregate data from internal and external sources
Guide solution design to meet data and integration requirements
Identify new opportunities to leverage data and to integrate data or applications to enhance business value
Coordinate with data owners to ensure data accessibility and quality
Contribute to management of central data stores and metadata
Provide consultative support and advice on technology projects led by business partners
Coach employees to make use of technology and information
About you

Experience:

Close to 5 years of experience as Data Analyst (performed data manipulation, data analysis, master data management) 
Experience in a healthcare company is a strong plus 
Technical skills:

Expert in Data manipulation techniques (esp. querying tables with SQL) 
Manage requirements analysis and documentation processes (Data Models, Process Flow Documents, Confluence Functional Document) to capture business and end user needs
Strong capacity to develop consistent, clear analysis and report potential issues 
Data quality audit techniques
Good knowledge of cloud computing and data storages
Excel, PowerPoint, Word 
Project management & support: JIRA projects & service desk, Confluence, Teams 
Soft skills:

Pragmatic and capable of solving complex issues  
Ability to understand business needs 
Main Digital point of contact for Countries during and after Country rollouts
Share and elicit these processes with Data Engineers and Data Viz Experts
Define, set up, and execute test cases to validate that the solution meets functional and non-functional requirements
Good communication 
Service-oriented, flexible, positive team player 
Self-motivated, takes initiative 
Rigorous, attention to detail to map data systems 
Curious to understand what is behind each data field 
Education:

Master’s Degree in Mathematics, Economics, Computer Science, Information Management or Statistics 
Languages:

Excellent knowledge of English language (spoken and written).