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- Tasks: Lead advanced analytics projects, focusing on marketing measurement and user engagement.
- Company: Join a global consumer platform connecting audiences to top brands across various sectors.
- Benefits: Enjoy remote work flexibility with occasional travel and a competitive salary up to £75,000.
- Why this job: Be part of a collaborative culture that values growth and innovation in data-driven decision making.
- Qualifications: Advanced analytics skills required; background in Maths, Stats, or Economics preferred.
- Other info: Opportunity for career growth into leadership or remain an individual contributor.
The predicted salary is between 54000 - 84000 £ per year.
A global consumer platform with a large user base, connecting audiences to major brands across fashion, tech, lifestyle, and education. Active in 100+ markets with a strong digital and data-first focus.
A hands-on and strategic position with the option to grow into leadership or stay on a strong IC path. You will work across analytics, experimentation, and forecasting – blending business impact with data science.
Initial focus areas:
- Marketing & channel measurement
- User engagement & churn
- Forecasting & predictive modelling
- Identifying commercial opportunities in key markets
Team & culture:
Collaborative, cross-functional, and growth-focused. You will work closely with product, engineering, and analytics peers in a supportive environment.
Tech stack:
- Python
- SQL
- Statistical modeling & analysis
Ideal background:
- Solid advanced analytics skills (e.g. regression, clustering, forecasting)
- Strong communicator with senior stakeholders
- Background in Maths, Stats, Economics, or similar
Please register your interest by sending your CV to Lauren McAlister via the Apply link on this page.
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 company's tech stack, especially Python and SQL. Brush up on your skills in statistical modelling and analysis, as these will be crucial for the role.
✨Tip Number 2
Prepare to discuss your experience with advanced analytics techniques like regression and clustering. Be ready to share specific examples of how you've applied these methods to drive business impact.
✨Tip Number 3
Showcase your communication skills by thinking about how you would present complex data insights to senior stakeholders. Practice explaining your analytical findings in a clear and concise manner.
✨Tip Number 4
Research the company’s recent projects or initiatives related to marketing and user engagement. Being knowledgeable about their current focus areas will help you stand out during discussions.
We think you need these skills to ace Senior Insight analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced analytics skills, particularly in regression, clustering, and forecasting. Emphasise any experience you have with Python and SQL, as well as your ability to communicate effectively with senior stakeholders.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision making. Mention specific projects or experiences that demonstrate your analytical capabilities and how they align with the company's focus on marketing measurement and user engagement.
Highlight Relevant Experience: In your application, focus on your previous roles that involved analytics, experimentation, and forecasting. Provide concrete examples of how your work has led to measurable business impact, especially in areas like user engagement and commercial opportunities.
Proofread and Edit: Before submitting your application, take the time to proofread your documents. Check for any spelling or grammatical errors, and ensure that your formatting is consistent. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
Prepare to discuss your experience with advanced analytics techniques such as regression, clustering, and forecasting. Be ready to provide specific examples of how you've applied these skills in previous roles to drive business impact.
✨Communicate Effectively
As a Senior Insight Analyst, you'll need to communicate complex data insights to senior stakeholders. Practice explaining your past projects in a clear and concise manner, focusing on the outcomes and how they influenced decision-making.
✨Familiarise Yourself with the Tech Stack
Brush up on your knowledge of Python and SQL, as well as any statistical modelling tools you’ve used. Being able to discuss your technical proficiency will demonstrate your readiness for the role and your ability to contribute from day one.
✨Understand the Company’s Market Focus
Research the company’s presence in various markets and their focus on consumer engagement. Be prepared to discuss how your insights can help identify commercial opportunities and improve user engagement in key areas.
