
Senior Data Analytics Manager - Commercial Operations
- London
- Permanent
- Full-time
- Lead the analytics roadmap for Commercial Operations across pricing, stock exit, margin performance, and trading analytics.
- Manage, coach, and develop a team of Commercial Analysts (mid and senior levels).
- Partner with stakeholders across Trading, Pricing, Commercial Ops, and Supply Chain to shape priorities and drive impact through data.
- Ensure delivery of dashboards and tools in Metabase that enable better decision-making on pricing, promotions, and markdowns.
- Own planning and prioritisation across analytics workstreams, coordinating delivery with the BI and Data Engineering teams.
- Guide deep-dive analysis into pricing performance, margin impact, and stock clearance effectiveness.
- Ensure high standards in analytics output, including documentation, scalability, and reproducibility.
- Influence strategy by embedding data in key commercial forums and decision cycles.
- Champion the use of data across the commercial org, raising data literacy and coaching stakeholders on how to use insights.
- Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool.
- Leadership: Proven ability to lead and grow a team of analysts, building a culture of delivery, curiosity, and collaboration.
- Commercial analytics expertise: Deep understanding of trading, pricing, margin, and product lifecycle in a retail context.
- Stakeholder influence: Trusted partner to Heads of Trading, Pricing, and Commercial Ops; able to translate business needs into analytical strategy.
- Delivery ownership: Comfortable managing multiple workstreams, aligning resources, and delivering through others.
- Technical understanding: Strong SQL fluency and experience overseeing analytics products built in Metabase or equivalent BI tools (Tableau, Power BI, Looker)
- Visualisation skills: Designs clean, usable dashboards in Metabase (or experience with equivalent tools like Tableau, Looker, PowerBI).
- Communication: Able to present complex insights clearly and credibly at all levels, from squad to exec forums.
- Collaboration: Works across functions with BI, Supply, Product, and Data teams to land scalable data solutions.
- Education & Experience: You have a degree in a quantitative field such as Mathematics, Economics, Statistics, or Engineering, and 6+ years of experience in analytics-at least 2-4 years in a team management or senior stakeholder-facing role, ideally in a retail or commercial operations context.
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