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For Companies At a Glance
- Tasks: Lead data analysis projects in a dynamic sports agency environment.
- Company: Join a top sports agency working with renowned names in football, cricket, and motorsports.
- Benefits: Earn up to £80,000 with opportunities for career progression and hybrid work.
- Why this job: Be part of exciting analytics projects that impact major sports clients.
- Qualifications: Experience with SQL and dashboarding; passion for sports is essential.
- Other info: Work 4 days a week in London, collaborating with a talented team.
The predicted salary is between 48000 - 56000 £ per year.
Overview
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.
How to Apply
If you are ready to take the next step in your data science career, apply today to find out more.
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Lead Data Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst
✨Tip Number 1
Make sure to brush up on your SQL skills, as this is a key requirement for the Lead Data Analyst role. Consider working on personal projects or online exercises that involve SQL queries to demonstrate your proficiency.
✨Tip Number 2
Familiarise yourself with dashboarding tools commonly used in the industry. Being able to showcase your experience with these tools during discussions can set you apart from other candidates.
✨Tip Number 3
Since the role involves managing multiple projects, practice discussing your project management skills. Be ready to share examples of how you've successfully juggled various tasks and delivered results under pressure.
✨Tip Number 4
Show your passion for sports by staying updated on current trends and news in the industry. This enthusiasm can be a great conversation starter and will demonstrate your genuine interest in the role.
We think you need these skills to ace Lead Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL experience, dashboarding skills, and any bespoke analytics projects you've worked on. Emphasise your ability to juggle multiple projects, as this is crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports and how it aligns with the company's mission. Mention specific examples of your previous work that relate to the responsibilities of the Lead Data Analyst position.
Showcase Relevant Projects: If you have experience with ticket pricing, segmentations, or other relevant analytics projects, be sure to include these in your application. Detail your role and the impact of your work to demonstrate your capabilities.
Proofread and Edit: Before submitting your application, take the time to proofread your documents. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Harnham
✨Show Your Passion for Sports
Since the role is within a sports agency, it's crucial to express your enthusiasm for sports. Share any relevant experiences or projects that highlight your passion, as this can set you apart from other candidates.
✨Demonstrate Your SQL Skills
As SQL experience is required, be prepared to discuss specific projects where you've used SQL effectively. Consider bringing examples of queries you've written or problems you've solved using SQL to showcase your expertise.
✨Discuss Bespoke Analytics Projects
The company values experience in bespoke analytics projects. Be ready to talk about your previous work on segmentation, pricing, or churn analysis. Highlight how your insights led to actionable outcomes for the business.
✨Prepare for Project Management Questions
Since you'll be juggling multiple projects, expect questions about your project management skills. Prepare examples of how you've successfully managed competing priorities and delivered results under pressure.
