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- Tasks: Lead a data science team and drive impactful analytical projects.
- Company: High-growth performance marketing and technology business with a collaborative culture.
- Benefits: Salary up to £65,000, hybrid working, and opportunities for genuine ownership.
- Why this job: Shape marketing strategies for major brands using innovative data science techniques.
- Qualifications: Strong SQL skills and experience in advanced modelling and experimentation methodologies.
- Other info: Mentorship opportunities and access to large-scale datasets.
The predicted salary is between 39000 - 52000 £ per year.
This is an exciting opportunity to join a high-growth organisation where data science directly shapes performance marketing strategy. You will lead a growing data science function, drive long-term analytical programmes, and play a key role in delivering meaningful commercial impact for well-known consumer brands.
The Company: They are a specialist performance marketing and technology business known for combining deep analytical expertise with innovative data products. With a rapidly expanding team and a strong track record of industry recognition, they partner with major consumer brands to solve complex measurement, forecasting, and modelling challenges. Their culture is collaborative, modern, and driven by delivering high-quality work that genuinely moves the needle for clients. As they scale, they are investing heavily in data science, experimentation, and advanced analytics.
The Role: As Lead Data Analyst, you will oversee a team of data scientists and work closely with senior stakeholders across analytics, data engineering, and technology. You will:
- Lead experimentation and measurement initiatives including incrementality testing, geo-based studies, brand lift approaches, and causal inference.
- Own advanced modelling projects such as MMM, LTV modelling, propensity scoring, and predictive forecasting.
- Deploy models into cloud environments and integrate into advertising platforms including Google and Meta.
- Guide long-term analytical roadmaps and ensure projects drive measurable commercial impact.
- Partner with high-profile clients, often with direct access to raw data, applying rigorous analytical thinking to real-world marketing challenges.
- Mentor and support a growing team of data scientists as they expand through the year.
Your Skills and Experience: You will bring:
- Strong commercial experience with SQL.
- Deep knowledge of experimentation methodologies such as incrementality, causal inference, geo testing, or brand lift studies.
- Hands-on experience with MMM, LTV modelling, and propensity modelling.
- Ability to deploy and maintain models in cloud environments and integrate with marketing platforms.
- Experience delivering impactful, long-term analytics or data science projects.
- Management or mentoring experience is desirable, but they are also open to strong individual contributors ready to step up.
- Exposure to attribution modelling is a bonus.
What They Offer:
- Salary up to £65,000.
- Hybrid working with one day per week in their London office.
- The opportunity to lead a growing data science function with genuine ownership and influence.
- Work with large-scale datasets from major consumer brands.
- A culture that invests in innovation, long-term thinking, and high-impact analytics.
If you are ready to take the next step in your data science career, apply today to find out more.
Lead Data Analyst in City of London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects and analyses. This gives potential employers a taste of what you can do, especially for a role like Lead Data Analyst.
✨Tip Number 3
Prepare for interviews by practising common data analysis scenarios. Think about how you’d tackle real-world problems they might throw at you, especially around experimentation and modelling.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Lead Data Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Lead Data Analyst role. Highlight your experience with SQL, experimentation methodologies, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background aligns with our goals. Be sure to mention specific experiences that relate to the responsibilities outlined in the job description.
Showcase Your Projects: If you've worked on any significant data projects, don’t hold back! Include links or descriptions of your work, especially those involving advanced modelling or cloud deployments. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Before the interview, make sure you’re well-versed in the data methodologies mentioned in the job description. Brush up on your SQL skills and be ready to discuss your experience with incrementality testing and causal inference. Being able to speak confidently about these topics will show that you’re not just familiar with them, but that you can apply them effectively.
✨Showcase Your Leadership Skills
Even if you’re applying as an individual contributor, it’s important to highlight any mentoring or leadership experience you have. Prepare examples of how you’ve guided teams or projects in the past, especially in data science contexts. This will demonstrate your potential to lead a growing team and influence long-term analytical roadmaps.
✨Prepare for Technical Questions
Expect technical questions related to advanced modelling techniques like MMM and LTV modelling. Be ready to explain your thought process and the impact of your previous projects. Practising these explanations will help you articulate your expertise clearly during the interview.
✨Understand Their Business and Culture
Research the company’s performance marketing strategies and their approach to data science. Understanding their culture and how they partner with consumer brands will allow you to tailor your responses to align with their values. This shows genuine interest and helps you connect your skills to their specific needs.
