Senior Commercial Analyst

Senior Commercial Analyst - Trading Analytics£75,000 + Bonus + 12% Pension | 3 Days/Week in Holborn | Global Online Marketplace

A global online marketplace is hiring a Senior Commercial Analyst to join their newly formed Trading Analytics function. Reporting into the Lead for Trade Analytics and sitting within a wider team of 10, this role is ideal for someone who thrives in a fast-paced, data-rich environment and enjoys solving commercial problems in close collaboration with stakeholders.

The company facilitates tens of thousands of transactions daily across a complex network of customers, partners, and delivery operations. This team plays a central role in understanding commercial performance, identifying root causes of trading issues, and shaping strategic decisions across the business.

What you'll be doing:

• Leading deep-dive, exploratory analysis using SQL and Looker to understand trends and performance issues

• Identifying and explaining trading anomalies (e.g. unexpected sales dips) and recommending actions

• Working closely with commercial and trading stakeholders to evaluate performance and guide decisions on pricing, marketing, and investment

• Creating dashboards and reporting frameworks for different stakeholder groups

• Managing shifting priorities and responding quickly to business-critical questions

• Supporting a new function with high visibility and real commercial impact

What we're looking for:

• Strong SQL skills (4-5+ years) and experience working with large-scale datasets

• Experience with Looker or another visualisation tool

• Proven commercial analytics background-confident analysing sales, ROI, and trading data

• Excellent stakeholder management-able to win buy-in and influence senior decision-makers

• A curious, problem-solving mindset with strong attention to detail

• Comfortable operating in high-volume, complex organisations (e.g. marketplace, eCommerce or similar)

Interview Process:

1. Technical Screening - 2 SQL tasks + 1 logic-based exercise (via Kaggle)

2. Take-Home Case Study - 4-5 days to complete, followed by a 1.5 hour in-person interview, including:

   • 20-minute presentation

   • Technical, behavioural, and competency-based question