Senior Analyst, Data Onboarding

Description:

Responsibilities Include

• Engaging with senior managers and data owners across the organisation to promote the use of the data fabric and identify key areas of value add.
• Acting as the central point of contact for data owners & stewards, data engineers and product management throughout the producer onboarding process.
• Assist data stewards in analysing new data sources for quality and ease of integration.
• Working closely with the data steward and custodian to ensure data meets consumer requirements.
• Project manage the onboarding process from start to finish for each data producer or consumer, ensuring that business value is realised.
• Develop and document best practice onboarding and governance guidelines for data producers.
• Take a lead in educating and promoting standardization and best practices across the organization.
• Understand both producer and consumer requirements and engage with product management & development to incorporate in the data fabric.

What We’re Looking For

• Ability to communicate and present ideas clearly and concisely on all levels.
• Strong organisational skills.
• Very strong analytical thinking and problem-solving skills a must.
• BSc in Computer Science, Engineering or Finance with at least 5 years of professional experience in an analytical data related role.
• Extensive working knowledge of databases and data modelling; Microsoft SQL preferred
• Experience with at least one major cloud provider. AWS and GCP preferred.
• Ability to translate business requirements or logic into technical specifications and/or data structures.
• Experience within data science or data engineering preferred.
• Should be able to mentor and guide more junior team members.
• Proactive, self-starter and motivated - should be able to manage their own workload effectively and drive onboarding projects to completion.
• Strong collaboration and teamwork skills
• Agile experience highly desirable.
• Ability to work with various global teams (technical and non-technical), including product management, business, third party data suppliers, data engineering, development and operations.
• Fluency in English, spoken and written