Summary: The Data Analyst role involves supporting a new project by utilizing AI and data analysis tools to enhance service efficiency, compliance, and customer satisfaction. The successful candidate will analyze large datasets, develop AI models, and collaborate with stakeholders to improve operational processes. This position is crucial for maximizing incentive revenue and ensuring regulatory compliance. The role requires a blend of technical skills and strategic decision-making capabilities.

Key Responsibilities:

• Analyse large datasets using AI to extract insights and improve business processes.
• Develop AI models to categorise free text data across key business areas such as customer comments, job notes, and fault resolutions.
• Collaborate with business stakeholders to validate use cases, document requirements, and ensure delivery of solutions.
• Automate review and classification of small service jobs to improve compliance and quality assurance.
• Conduct sentiment analysis on customer comments to identify positive and negative experiences and improve customer satisfaction.
• Use AI to optimise fault resolution processes and enhance operational efficiency.
• Ensure regulatory compliance by validating documentation for planned shutdowns.

Key Skills:

• Strong experience in data analysis using Python, SQL, and PowerBI.
• Experience with data modelling, warehousing, and ETL processes.
• Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
• Knowledge of large language models (LLMs) for analysing textual data is desirable.
• Familiarity with prompt-based AI techniques, context chunking, and few-shot learning is advantageous.

Salary (Rate): undetermined

City: Crawley

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT