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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 team that values growth and innovation in a data-driven environment.
- Qualifications: Advanced analytics skills and strong communication abilities are essential; background in Maths or Stats preferred.
- Other info: Opportunity for career growth into leadership or remain an individual contributor.
The predicted salary is between 60000 - 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 statistical modelling skills, as these will be crucial in demonstrating your expertise during discussions.
✨Tip Number 2
Prepare to discuss your experience with marketing and channel measurement. Think of specific examples where your insights led to measurable business impact, as this will resonate well with the hiring team.
✨Tip Number 3
Showcase your ability to communicate complex data insights to senior stakeholders. Practice explaining your past projects in a way that highlights your strategic thinking and collaborative approach.
✨Tip Number 4
Research the company’s presence in various markets and identify potential commercial opportunities they might be missing. This will not only show your initiative but also your understanding of their business landscape.
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 and your understanding of the company's focus on digital and data-first strategies. Mention specific examples of how you've contributed to marketing measurement or user engagement in previous roles.
Highlight Relevant Experience: In your application, be sure to detail your experience with analytics, experimentation, and forecasting. Use quantifiable achievements to demonstrate your impact in previous positions, especially in identifying commercial opportunities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial for a Senior Insight Analyst role.
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 analytical findings in a clear and concise manner, using visuals or simple language to ensure understanding.
✨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 and churn rates.
