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For Companies At a Glance
- Tasks: Join a dynamic team to analyze data and drive business performance.
- Company: Be part of a thriving retail business experiencing rapid growth.
- Benefits: Enjoy a hybrid work model and competitive salary with bonuses.
- Why this job: Make a real impact on decision-making and strategy in a collaborative environment.
- Qualifications: Strong SQL skills and experience with data analytics tools required.
- Other info: Opportunity for high visibility and influence across various business functions.
The predicted salary is between 33000 - 77000 £ per year.
Analytics Manager | Data-Led B2B & D2C Business | Up to £70K | Hybrid (South West UK)
Harnham is working with a well-established multinational food business with a strong presence across the UK, US, and Canada. They operate in both B2B and D2C markets — from hospitals and schools to elderly customers receiving nutritious meals at home.
They’ve built a reputation around quality, innovation, and ethical values, and they’re now looking for an Analytics Manager to join their growing data team.
The Role:
You’ll be embedded in a strategic insight and problem-solving team working directly on key commercial challenges across international markets. This is a hands-on analytics position where you’ll be shaping business decisions, optimising marketing performance, and influencing strategic direction.
What You\’ll Be Doing:
- Partner with stakeholders to define problems, shape analytics projects, and create structured roadmaps
- Use SQL and visualisation tools to interrogate large datasets, uncovering actionable insights
- Track and measure marketing campaign performance, applying techniques like media mix modelling (MMM) and attribution
- Support commercial decision-making with segmentation, pricing, product mix and sales performance insights
- Present data-driven stories to senior leadership, helping answer questions like:
- “Why are sales dropping in this category?”
- “How can we improve our delivery logistics?”
- “Do we have too many products in our portfolio?”
Ideal Candidate:
- 3+ years’ experience in analytics roles (marketing analytics especially useful)
- Strong SQL and data visualisation (e.g. Tableau, Power BI)
- Experience with campaign measurement, segmentation, commercial strategy
- Confident working directly with business stakeholders and translating technical work into business narratives
- Exposure to varied business problems – consulting or cross-functional experience ideal
- Bonus: Python knowledge and familiarity with data science concepts (not essential)
Why Join?
- Highly respected ethical brand with real-world impact
- Large, fully invested data function – 16 data professionals already in place
- You’ll report into an experienced analytics leader and have 1 direct report
- Opportunity to influence decisions across a complex, international organisation
- Hybrid working with regular presence in a South West UK office
Location: South West England (Hybrid – 2–3 days in office)
Salary: Up to £70,000 + benefits (depending on experience)
If you\’re an insight-driven problem solver with a knack for unpicking complex commercial questions — and want your work to have meaningful impact — this could be a great fit.
Interested? Send your CV to Roshni Baillie through the Apply link on this page, or to roshnibaillie@harnham.com
Analytics Manager employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager
✨Tip Number 1
Familiarize yourself with the latest trends in retail analytics. Understanding how data influences pricing, promotions, and trading can give you an edge in discussions during interviews.
✨Tip Number 2
Brush up on your SQL skills and practice creating visualizations in Power BI. Being able to demonstrate your technical abilities in these areas will show that you're ready to hit the ground running.
✨Tip Number 3
Prepare examples of how you've used data to drive business decisions in previous roles. Highlighting your experience in delivering actionable insights will resonate well with the hiring team.
✨Tip Number 4
Network with professionals in the retail analytics space. Engaging with others in the industry can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Analytics Manager
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Analytics Manager position. Understand the key responsibilities and required skills, especially focusing on data analytics tools and communication capabilities.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with data analytics, particularly in creating visualizations and using SQL. Provide specific examples of how you've used data to drive business decisions or improve performance.
Showcase Communication Skills: Since the role requires excellent communication and insight-delivery capabilities, make sure to demonstrate these skills in your application. Use clear and concise language, and consider including examples of how you've effectively communicated insights to stakeholders.
Tailor Your Application: Customize your CV and cover letter to align with the company's values and the specifics of the role. Mention your proactive approach to identifying opportunities through data, as this is a key aspect of the position.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analytics to drive business decisions. Highlight your experience with SQL and any tools you've used, especially Power BI, to create impactful visualizations.
✨Understand the Business Context
Research the retail business and its current market position. Be ready to discuss how your insights could influence pricing, promotions, and trading strategies, demonstrating your understanding of the industry.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to analyze hypothetical situations or past experiences. Practice articulating your thought process in identifying trends, opportunities, and risks, and how you would present these insights to leadership.
✨Emphasize Collaboration and Communication
Since the role involves cross-functional collaboration, be sure to highlight your teamwork experiences. Discuss how you've effectively communicated complex data insights to non-technical stakeholders in previous roles.
