Full-Time Technical Data Business Analyst

• Key, client-facing member of a delivery team.
• Engages with clients throughout their data transformation journey.
• Requires excellent client-facing and trust-building skills.
• Understanding of business strategy and objectives.
• Deep understanding of business processes and commercial acumen.
• Proven track record of delivering data solutions.

• Working with the client to identify and articulate their business challenges and needs.
• Unpacking challenges and identifying the underlying causes.
• Defining requirements that will drive the design and build of data management and data warehousing solutions.
• Analysing and documenting business processes.
• Analysing and making sense of data.
• Providing a link between the client and the Telefonica Tech Data & AI development team.
• Helping clients prioritise their requirements and plan implementation approaches.
• Bringing industry-leading practice and business analysis skills to client engagements.
• Contributing to the building of methodologies and intellectual properties.
• Helping support data migration engagements by leading source to target mapping exercises.

• Ability to quickly understand a client's business strategy and business objectives.
• Analytical skills to identify, define, and unpick problems.
• Ability to clearly define, agree, and articulate customers' business requirements.
• Candidates with a background in software development, business analysis or project management.
• Ability to understand line of business systems and their underlying data.
• Collaborative personality and way of working to build client relationships and trust.
• Ability to communicate with a wide range of stakeholders.
• Ability to bridge the business and technical domains.
• Understanding of data management and integration platforms and tools.
• Experience of working on data analytics/data warehousing projects.
• Hands on data related experience, performing activities such as data analysis, data profiling, and data mapping.
• Working with source system SMEs and target system experts to correctly map entities and data elements.

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