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For Companies At a Glance
- Tasks: Lead a data science team and drive impactful analytical projects.
- Company: High-growth performance marketing and technology business with a collaborative culture.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Mentorship opportunities and access to large-scale datasets.
- Why this job: Shape marketing strategies for major brands using advanced analytics and innovative methodologies.
- Qualifications: Strong SQL skills and experience in experimentation methodologies.
The predicted salary is between 65000 - 65000 £ 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.
- 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.
Requirements
- Strong commercial experience with SQL.
- Deep knowledge of experimentation methodologies such as incrementality, causal inference, geo testing, or brand lift studies.
- 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.
Benefits
- 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.
How to Apply
If you are ready to take the next step in your data science career, apply today to find out more.
Lead Data Analyst Tableau in London employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst Tableau in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL and advanced modelling. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on key concepts related to experimentation methodologies and causal inference. Be ready to discuss how you've applied these in real-world scenarios, as this will resonate well with hiring managers.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a chance to showcase your enthusiasm for the role right from the start.
We think you need these skills to ace Lead Data Analyst Tableau in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Data Analyst role. Highlight your SQL expertise and any relevant projects you've led or contributed to, especially those involving experimentation methodologies.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can drive commercial impact. Share specific examples of your past work that align with the responsibilities mentioned in the job description.
Showcase Your Analytical Skills: In your application, don’t shy away from showcasing your analytical thinking. Mention any advanced modelling projects you've worked on, like MMM or predictive forecasting, to demonstrate your capability in handling complex data challenges.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving SQL and data analysis. Be ready to discuss specific examples of how you've used data to drive commercial impact, especially in performance marketing. This will show your potential employer that you can hit the ground running.
✨Master Experimentation Methodologies
Brush up on your knowledge of experimentation methodologies like incrementality testing and causal inference. Prepare to explain how you've applied these techniques in previous roles, as this is crucial for the Lead Data Analyst position. Real-world examples will make your answers stand out.
✨Showcase Your Leadership Skills
Even if you're not applying for a management role, highlight any mentoring or leadership experiences you've had. Discuss how you've supported team members or led projects, as this will demonstrate your readiness to guide a growing team of data scientists.
✨Understand Their Business and Culture
Research the company’s approach to performance marketing and their innovative data products. Familiarise yourself with their clients and the challenges they face. This knowledge will help you tailor your responses and show that you're genuinely interested in contributing to their success.