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- Tasks: Lead data analysis to boost customer acquisition and revenue growth.
- Company: Join a rapidly growing consumer goods and food delivery business in London.
- Benefits: Enjoy a competitive salary, bonuses, equity, and hybrid work options.
- Why this job: Be part of a dynamic team transforming marketing strategies with impactful data insights.
- Qualifications: Strong SQL, Snowflake, Python/R skills, and experience in advanced analytics required.
- Other info: Opportunity to work in a fast-paced environment with significant growth potential.
The predicted salary is between 51000 - 85000 £ per year.
Get AI-powered advice on this job and more exclusive features.Please note: UK residents only. No sponsorship available.The Company A high-growth, mission-led business in the circular economy. They\’re data-heavy, operationally complex, and scale fast across global markets. Tech, logistics, and sustainability all collide here — and analytics is at the heart of how they drive margin, reduce waste, and serve customers better.The Role This is a hands-on Lead Analyst role driving operational efficiency and supply chain optimisation. You\’ll own analytics across stock, fulfilment, supplier performance and logistics — identifying where costs can be cut and performance scaled.You\’ll run experiments, automate reporting, and support decision-making across fulfilment and supply. There\’s also scope to specialise more on either supply-side or demand-side data depending on where you want to take your career.You\’ll also mentor a junior analyst and play a key role in shaping how data\’s used across ops.What they\’re looking for Strong experience in operations, supply chain or inventory analyticsConfident designing and analysing A/B testsClear communicator, able to translate analysis for stakeholders across the businessSome experience managing or mentoring analystsProactive mindset — commercially curious and not afraid to challenge the status quoWhy apply Join a data-first business with real mission and scaleWork with smart people who care about the customer and the planetOwn high-impact analytics across global supply chain operationsCareer progression + flexibility to shape your remitApply now via the link or send your CV to Noah at Harnham.
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Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analyst
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Snowflake, and DBT. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Prepare to showcase your analytical skills by bringing examples of how you've used data to drive business decisions in previous roles. Be ready to explain your thought process and the impact of your work on the organisation.
✨Tip Number 3
Since stakeholder management is crucial for this role, think of instances where you've successfully communicated complex data insights to both technical and non-technical audiences. This will demonstrate your ability to bridge the gap between data and business strategy.
✨Tip Number 4
Research the company’s recent growth and marketing strategies. Being knowledgeable about their current initiatives will not only help you tailor your responses but also show your genuine interest in contributing to their success.
We think you need these skills to ace Lead Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your technical experience in SQL, Snowflake, and data visualisation. Emphasise your background in advanced analytics and predictive modelling, as these are crucial for the Lead Analyst role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the company's growth and how your skills can contribute to their marketing transformation. Mention specific examples of how you've used data to drive performance improvements in previous roles.
Highlight Stakeholder Management Skills: In your application, be sure to mention your experience in communicating complex analysis to both technical and non-technical stakeholders. This is key for the role, so provide examples of how you've successfully managed stakeholder relationships.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is essential for a Lead Analyst position.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Make sure to highlight your strong technical experience in SQL, Snowflake, and Python/R during the interview. Prepare specific examples of how you've used these skills in previous roles, especially in advanced analytics and predictive modelling.
✨Understand the Business Context
Research the company’s recent growth and their focus on customer acquisition and retention. Be ready to discuss how your analytical insights can directly contribute to their business objectives and enhance performance.
✨Prepare for Stakeholder Communication
Since the role involves communicating complex data insights to both technical and non-technical stakeholders, practice explaining your past projects in simple terms. This will demonstrate your ability to bridge the gap between data analysis and business strategy.
✨Demonstrate Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in your previous roles and how you used data to provide strategic solutions. This will show your potential employer that you can think critically and drive improvements within the company.
