Support the data engineering function, working to continuously improve processes and solutions in the Group across all data types; focusing on demonstrable value back to the business.
Support the development of documentation to ensure initiatives are well documented from a data perspective
Develop technical documentation in response to business requirements
Provide technical support for all data related projects; providing guidance and support on data best practise.
Proactively engage with the business regarding projects and ensure that Data principles are being adhered to.
Promote a collaborative, cross functional approach to data knowledge sharing, contributing to cross functional teams as a data SME
Work with Data Owners and Data Stewards to ensure data is given due consideration
Contribute to the creation, maintenance, promotion and use of metadata resources such as Data Dictionaries and Data Lineages.
Be a champion for Data and the best use of our Group data resources in support of business objectives.
Develop and maintain an understanding of data across key business areas, systems, processes and business relationships.
Proactively identify improvements to data manipulation processes and systems, promoting best practise.
Work collaboratively with Change and IT to ensure that data is considered within projects and business as usual It operations
Maintain the company's compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.

Experience Requirements

6-8years of strong experience of data related activities e.g. analysis/data management/analytics
6 years of stakeholder engagement : Interacting with people across both business and IT domains
4 years of providing Data Analysis services e.g. as a Data Analyst, BI Analyst/Developer is essential
4 years experience of implementing processes and procedures around data and information management is desirable

Knowledge Requirements

Strong experience in data related activities and principles is essential
Evidence of delivering analysis solutions is essential
Demonstrable knowledge of data tools landscapes
Understanding of design and development of data stores, database, data warehouses and associated toolsets is desirable
Ability to query and interrogate data using languages such as SQL , Python
Excellent documentation writing skills
Experience of Data landscapes, ETL/ELT processes and best practices

Skill and Competency Requirements

Proven passion for data is essential and a strong drive for results is essential
Good interpersonal, influencing and relationship management skills is essential
Extremely meticulous in approach to work with outstanding attention to detail is essential
A quick learner and an ability to work with little or no supervision is essential
A team player with an ability to function in a setting with tight deadlines is essential
A commercial outlook, able to relate data initiatives to business value

Required Qualifications/Certifications

Bachelor's degree in Computer Science, Engineering, or a related field is essential
Proven experience in a similar role for at least 4 years is essential
Impeccable communication skills and ability to demonstrate
Data analyst certification/qualification is desirable

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