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For Companies At a Glance
- Tasks: Blend technical expertise with commercial influence in a hands-on analytics role.
- Company: Join a global consumer platform connecting millions with top brands across various sectors.
- Benefits: Enjoy remote work flexibility and opportunities for career growth in a high-impact environment.
- Why this job: Make a real impact on customer experience and strategic planning while collaborating with diverse teams.
- Qualifications: Strong analytical skills, experience with Python and SQL, and a background in quantitative fields required.
- Other info: This role offers pathways to leadership or high-impact individual contributor positions.
The predicted salary is between 60000 - 75000 £ per year.
A global consumer platform with a large, engaged user base — connecting millions of consumers with leading brands across fashion, tech, lifestyle, and education. Active in 100+ markets, this business is data-first and digital at its core, driving innovation through experimentation, advanced analytics, and actionable insights. This is a fantastic opportunity to contribute to a high-growth, international environment where analytics and business impact go hand in hand.
The Role and Responsibilities:
This is a hands-on and strategic analytics position, ideal for someone looking to blend technical expertise with commercial influence. You’ll have the option to grow into leadership or develop along a high-impact individual contributor (IC) path — both well-supported in the organisation. You’ll collaborate with stakeholders across marketing, product, engineering, and leadership, helping drive key decisions through analytics, experimentation, and predictive modelling. Your work will be highly visible and make a tangible impact on customer experience, commercial performance, and strategic planning.
Initial Focus Areas:
- Marketing & Channel Measurement - Understand and optimise marketing investments and channel performance.
- User Engagement & Churn - Analyse behaviours to drive customer retention and lifetime value.
- Forecasting & Predictive Modelling - Build models that inform planning, budgeting, and strategic decision-making.
- Commercial Opportunity Identification - Partner with commercial teams to surface high-value growth opportunities across key markets.
Your Skills and Experience:
We’re looking for a pragmatic and commercially minded analyst who can drive actionable insight through advanced analytics. The ideal candidate will bring:
- Strong statistical and advanced analytics skills (e.g. regression, clustering, forecasting)
- Hands-on experience with Python and SQL
- Ability to communicate complex findings clearly to non-technical stakeholders — influencing decision-makers across the business
- A background in Mathematics, Statistics, Economics, Data Science, or a similar quantitative field
- Experience in fast-moving, data-rich environments (consumer platforms, eCommerce, marketplaces, or similar sectors a bonus)
Senior Insight Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Insight Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in advanced analytics and predictive modelling. Being able to discuss recent developments or case studies during your conversations can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the analytics space, especially those who work in consumer platforms or eCommerce. Engaging in discussions on platforms like LinkedIn can help you gain insights and potentially get referrals.
✨Tip Number 3
Prepare to showcase your technical skills in Python and SQL through practical examples. Be ready to discuss specific projects where you've applied these skills to drive business decisions or improve performance.
✨Tip Number 4
Understand the company's market and its competitors. Being knowledgeable about their strategies and challenges will allow you to tailor your discussions and show how you can add value to their team.
We think you need these skills to ace Senior Insight Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Insight Analyst role. Emphasise your statistical and analytical skills, as well as your proficiency in Python and SQL.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the company's data-driven approach. Mention specific examples of how you've used analytics to drive business decisions and improve customer engagement.
Showcase Relevant Projects: If you have worked on projects involving predictive modelling or user engagement analysis, include these in your application. Detail your role, the tools you used, and the impact of your work.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Brush up on statistical methods and be prepared to explain complex concepts in simple terms, as you'll need to communicate findings to non-technical stakeholders.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
Prepare to discuss your experience with statistical methods and advanced analytics. Be ready to provide examples of how you've used techniques like regression or clustering in previous roles, especially in a commercial context.
✨Demonstrate Technical Proficiency
Familiarise yourself with Python and SQL, as these are crucial for the role. Consider preparing a small project or example that showcases your coding skills and how you've applied them to solve real business problems.
✨Communicate Clearly
Practice explaining complex analytical concepts in simple terms. You may be asked to present findings to non-technical stakeholders, so being able to convey your insights clearly will be key to influencing decision-makers.
✨Understand the Business Context
Research the company’s market position and recent developments. Being knowledgeable about their products and how they leverage data can help you align your answers with their strategic goals during the interview.
