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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 45000 - 105000 £ 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.
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 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 in marketing and user engagement. Being knowledgeable about their current focus areas will help you demonstrate your genuine interest in the role.
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 where you've successfully blended business impact with data science, and how you can contribute to the company's growth-focused culture.
Highlight Relevant Experience: In your application, focus on your previous roles that involved marketing measurement, user engagement analysis, or predictive modelling. Use quantifiable achievements to demonstrate your impact in these areas.
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 crucial for a Senior Insight Analyst role.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
As a Senior Insight Analyst, you'll need to demonstrate your advanced analytics skills. Be prepared to discuss specific projects where you've used techniques like regression or clustering, and how they impacted business decisions.
✨Communicate Effectively
Strong communication with senior stakeholders is crucial. Practice explaining complex data insights in simple terms, and be ready to discuss how you've successfully communicated findings in previous roles.
✨Familiarise Yourself with the Tech Stack
Make sure you have a good understanding of Python and SQL, as well as statistical modelling. You might be asked technical questions, so brush up on your coding skills and be ready to solve problems on the spot.
✨Understand the Company’s Market Focus
Research the company’s presence in various markets and their focus on digital and data-first strategies. Being knowledgeable about their operations will show your genuine interest and help you align your answers with their goals.
