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Analytics manager/data manager

Newcastle Upon Tyne (Tyne and Wear)
Red Top Resources
Analytics manager
Posted: 19h ago
Offer description

Head of Data & Analytics (reporting to CIO) required to lead an established Analytics function. We are looking for an experienced Data and AI leader who can help accelerate a data-driven culture and spearhead the responsible adoption of approved Large Language Models (LLMs) across the organization. This is a highly influential role requiring strategic partnership with leaders across this FTSE250 company to drive digital transformation through data and AI innovation.

This role is based in Newcastle and there is a requirement to be in the office at least 2 days a week with occasional travel to other sites within the UK.

AI Strategy & Implementation
At least five years experience of Team Management in a Data analytics environment
Six or more years of relevant experience in a business analyst, data analyst, or statistical analysis role
Experience with SQL scripting, data warehousing, statistical analysis tools, Microsoft Excel, and data visualization tools such as Tableau and Amazon QuickSight; experience extracting and processing data using SQL and Excel
Educated to degree level or equivalent in Statistics, Computer Science or Mathematics
Proven experience of successfully managing a data analytics function
Demonstrated ability to communicate complex AI concepts to non-technical stakeholders
Experience with the Azure data platform.
Data Architecting to create Entity, Logical, Physical Data Models
Data Dictionary (Common Business Language)– for ultimate use in new systems design
Experience in scripting languages (Python) for parsing and data analysis
Experience with one or more of the statistical modelling languages/ toolboxes (R, SAS)
Data Mapping & Migration, tools & techniques, ETL and Normalisation
Data Cleanse/Quality- Base lining, measurement, and improvement
Experience scaling and optimizing mature data platforms and driving enterprise-wide adoption
Knowledge of AI/ML implementation strategies and practical applications in business contexts
Experience with Generative AI technologies, LLMs, and their enterprise implementation
Experience developing AI-powered solutions that enhance business intelligence capabilities

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