Role

• The Data Analyst will build and deliver high-quality, client-specific analysis
• Own client data requests and identify ways to maximise value from incomplete or unstructured datasets
• Deliver ad-hoc analysis, data enhancements, enrichment, scraping, and advanced matching
• Contribute to proposals, RFPs, and live commercial opportunities
• Develop analytical examples and hypotheses to support new business
• Help train and improve AI-enabled analytical tools
• Identify opportunities to improve the speed, depth, and quality of the team's analysis
• Industry Experience: Experience in SaaS, fintech, e-commerce, or a fast-paced commercial environment is a plus.

Key Responsibilities:

• The Data Analyst will have advanced Excel, Python,Snowflake and Tableau experience
• Strong analytical foundations and experience working with large, complex datasets
• Experience ingesting, cleaning, QA'ing, and matching data from multiple sources
• Exposure to Python, SQL, or web scraping is advantageous
• Strong problem-solving ability and a structured approach to ambiguity
• Strong data storytelling and commercial awareness