• Analysing market, pricing and product data to show where the business leads and where it has gaps.
• Evaluating the data services and vendors the business relies on, including their cost, value and alternatives.
• Checking data quality rigorously, and knowing the difference between a real finding and a data error.
• Turning analysis into clear briefings, business cases and presentations for senior leaders.
• Producing communications and proposals that support digital programs and partner engagement, with AI tools doing a lot of the heavy lifting.
• Genuine curiosity and a track record of learning fast.
• A real interest in vehicles, service and repair, and the automotive aftermarket.
• A valid driver's licence and access to a vehicle. You'll understand this industry far better as someone who drives and owns a car.
• Strong numeracy, logical reasoning and advanced Excel.
• Clear, concise written English suitable for senior audiences.
• Typically three or more years in an analytical, technical or automotive role. Service, repair and parts backgrounds are welcome.
Strong advantages
• Practical, demonstrable use of AI tools in analysis and writing.
• SQL, Python or Power BI.
• Experience with automotive parts, catalogue or vehicle data.
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