Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform data into strategy by partnering with teams and presenting insights.
- Company: Join a leading player in the travel retail sector, expanding rapidly in the UK.
- Benefits: Enjoy a competitive salary, performance bonuses, and hybrid working options.
- Why this job: Be part of a growth phase, influencing decisions and developing your analytics skills.
- Qualifications: Advanced Excel skills required; PowerBI and SAP experience preferred.
- Other info: Opportunity to scale into a lead analytics role as the company grows.
The predicted salary is between 39000 - 91000 £ per year.
Commercial Analyst London – Hybrid – two days a week in office. £85,000 + bonus and benefits. The Company A fast-growing organisation operating in the live entertainment and ticketing space, working with a wide portfolio of venues and events across the UK. Their focus is on building a leading consumer ticketing platform, supported by strong digital, marketing, and data capabilities! The Role As the Commercial Analyst, you will sit at the centre of commercial decision-making, partnering closely with senior stakeholders across marketing and growth. This is a hands-on role with no direct reports, ideal for someone who enjoys owning problems end-to-end and translating data into action. Key responsibilities include: Owning marketing and revenue attribution analysis across digital and offline channels, including website journeys and direct mail campaigns. Analysing customer behaviour to understand lifetime value, retention, and engagement patterns. Delivering clear, actionable insights to senior stakeholders to inform commercial and marketing strategy. Working across multiple data sources and platforms to build a holistic view of performance. Collaborating with engineers and BI teams to influence dashboards, reporting, and a more self-serve analytics environment. Identifying new opportunities to improve how data is used across the business. Your Skills and Experience Strong customer-centric analytics experience, with a clear focus on commercial insight rather than pure reporting. Confident using SQL to explore and interrogate data. Experience with Power BI or similar tools to support insight delivery. Solid understanding of marketing analytics and attribution, including online and offline channels. Proven ability to communicate complex findings clearly to non-technical stakeholders. A proactive mindset, comfortable working autonomously in a standalone role. What They Offer Salary of £85,000 5% bonus Private healthcare Hybrid working with two days a week in a central London office. High exposure to senior leadership and the opportunity to shape a function from day one. A role with real commercial impact and long-term progression potential. How to Apply If you are a commercially minded analyst looking for ownership, influence, and the chance to build something meaningful, please apply today.
Commercial Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Analyst
✨Tip Number 1
Familiarise yourself with the travel retail sector and current market trends. This knowledge will help you engage in meaningful conversations during interviews and demonstrate your understanding of the industry.
✨Tip Number 2
Brush up on your Excel skills, especially advanced functions and modelling techniques. Being able to showcase your proficiency in Excel during practical assessments or discussions can set you apart from other candidates.
✨Tip Number 3
Gain a basic understanding of PowerBI if you haven't already. Familiarity with this tool can be a significant advantage, as it shows your willingness to learn and adapt to the company's reporting needs.
✨Tip Number 4
Prepare examples of how you've used data to influence decision-making in previous roles. Being able to articulate your experience in presenting findings and driving commercial strategies will resonate well with the hiring team.
We think you need these skills to ace Commercial Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Excel, PowerBI, and any relevant retail or FMCG background. Use specific examples that demonstrate your ability to turn data into actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the responsibilities of the Commercial Data Analyst position, particularly in building models and presenting findings.
Showcase Relevant Skills: Emphasise your advanced Excel skills and any experience you have with SAP. If you've worked on similar projects or roles, be sure to include those details to show your capability in handling complex datasets.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail, which is crucial for a data analyst role.
How to prepare for a job interview at Harnham
✨Showcase Your Excel Skills
Since advanced Excel is essential for this role, be prepared to discuss your experience with modelling and dashboards. You might even want to bring examples of your work or be ready to solve a quick Excel problem during the interview.
✨Familiarise Yourself with PowerBI
While some experience with PowerBI is ideal, showing enthusiasm and a willingness to learn can go a long way. Brush up on the basics and be ready to discuss how you would approach building dashboards and reports.
✨Understand the Retail/FMCG Landscape
Having a background in retail or FMCG will help you understand the dynamics of pricing, margin, stock, and promotions. Be prepared to discuss how these factors influence commercial decision-making and provide insights based on your knowledge.
✨Prepare to Present Your Findings
As the role involves presenting findings to leadership, practice articulating your insights clearly and confidently. Think about how you would highlight risks, inefficiencies, and opportunities through data in a way that influences decision-making.