At a Glance
- Tasks: Lead data analysis projects and shape innovative analytics strategies.
- Company: Dynamic performance marketing agency with a focus on data and technology.
- Benefits: Competitive salary, exposure to major brands, and ongoing professional development.
- Other info: Hybrid work model with opportunities for career growth.
- Why this job: Make a real impact in a collaborative, data-driven environment.
- Qualifications: Experience in analytics, modelling, and cloud environments; Python knowledge is a plus.
The predicted salary is between 39000 - 65000 £ per year.
Lead Data Analyst
London, Hybrid 2 to 3 days per week in office
£55,000 plus benefits
No sponsorship offered
This is an excellent opportunity for a Lead Data Analyst to join a fast growing data and technology business working at the intersection of media, marketing, and analytics. You will play a key role in shaping how advanced analytics is delivered, with clear progression into team leadership and broader strategic influence.
The Company
They are a London based technology and media organisation that partners with brands and agencies to improve marketing effectiveness and campaign performance. Founded within the last decade, they have quickly scaled to a team of around 100 specialists across analytics, engineering, and data science. Their work spans the full campaign lifecycle, from pre campaign strategy through to performance evaluation, leveraging proprietary technology and data driven insights to support client success.
The Role
You will join the Business Intelligence function, working closely with senior leadership to drive best practice in analytics delivery. This role blends hands on analysis with team leadership and stakeholder collaboration.
Key responsibilities include
- Lead the design and delivery of advanced analytics across marketing, customer, and commercial data
- Act as a subject matter expert, ensuring analytical quality and best practice across projects
- Manage and mentor junior analysts, with scope to grow a team over time
- Support pre campaign strategy, campaign execution insights, and post campaign performance analysis
- Translate complex data into clear, actionable recommendations for clients and stakeholders
- Manage multiple projects, balancing priorities in a fast paced, client focused environment
- Contribute to improving processes, automation, and overall data capabilities within the team
- Collaborate with cross functional teams including data science and engineering to deliver impactful solutions
Your Skills and Experience
- Strong commercial experience using Python for data analysis
- Experience working with large, complex datasets and delivering insights
- Ability to manage multiple priorities and work effectively under time pressure
- Experience leading projects or mentoring analysts
- Strong stakeholder management and communication skills
- Understanding of data quality, validation, and best practice analytics workflows
- Exposure to dashboarding tools or additional programming languages is beneficial
- Background in media, marketing, or client focused environments is helpful but not essential
What They Offer
- Salary of £55,000 plus benefits
- Hybrid working with 2 to 3 days per week in a central London office
- Clear progression into team leadership, with scope to manage a growing team
- Opportunity to expand into more advanced analytics and statistical work over time
- Exposure to a wide range of data across marketing, commercial, and customer domains
- A collaborative environment with strong technical and analytical expertise
How to Apply
If you are a Lead Data Analyst looking to take the next step in your career within a high growth data driven environment, apply now to learn more.
Lead Data Analyst employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analytics. Think about how your experience with DBT and Python can shine through. We want you to show off your skills and how they can drive measurable impact!
✨Tip Number 3
Don’t forget to showcase your projects! Whether it’s a personal project or something from your previous job, having tangible examples of your work in predictive modelling or analytics can really impress potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your expertise in data analytics, cloud environments, and any relevant projects you've worked on. 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 explain why you're passionate about the role and how your background aligns with our needs. Don’t forget to mention any experience with MMM or predictive modelling – we love that stuff!
Showcase Your Projects:If you've worked on any significant analytics projects, make sure to include them in your application. We’re interested in seeing how you've driven measurable impact in previous roles. Real-world examples can really set you apart!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
As a Lead Data Analyst, you’ll need to demonstrate your expertise in data modelling and analytics. Brush up on your knowledge of MMM, LTV modelling, and predictive analytics. Be ready to discuss specific projects where you've made a measurable impact using these techniques.
✨Showcase Your Technical Skills
Familiarise yourself with the tools mentioned in the job description, especially DBT and Python. If you have experience deploying models in cloud environments or working with Google/Meta ads, make sure to highlight that. Practical examples will help you stand out!
✨Understand Their Business
Research the company’s clients and the industries they operate in. Knowing their performance marketing strategies and how data drives their decisions will show your genuine interest and help you align your answers with their goals during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to work collaboratively. Think of scenarios where you’ve partnered with client-facing teams or shaped analytics strategies. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
