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- Tasks: Lead data projects, shape client strategies, and deliver impactful insights.
- Company: Dynamic remote team focused on data-driven success for key clients.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a collaborative environment with opportunities to mentor junior analysts.
- Why this job: Make a real impact by transforming data into actionable insights for top clients.
- Qualifications: Strong data experience, SQL skills, and ability to engage with clients effectively.
The predicted salary is between 60000 - 80000 £ per year.
I am looking for a Lead Data Analyst focused on owning the end-to-end delivery of data strategy and analytics for a portfolio of key clients. The focus is on building robust data foundations, shaping client strategy, and ensuring analytics work translates directly into measurable commercial outcomes.
You will act as a senior partner across both technical delivery and client engagement, bridging the gap between data engineering, analytics, and marketing performance. This role combines hands-on technical work with strategic influence, owning everything from data modelling through to C-suite insight delivery.
Key Responsibilities- Own and deliver end-to-end data projects, from defining client strategy through to insight generation and presentation.
- Act as the senior data partner for key accounts, shaping roadmaps and building long-term client relationships.
- Design and build scalable data models and transformations within modern data stacks.
- Translate complex datasets into clear, commercially focused insights for senior stakeholders.
- Drive best practice across data modelling, visualisation, and analytical output quality.
- Manage multiple workstreams, ensuring prioritisation, delivery, and stakeholder alignment.
- Strong experience in a data-focused role within a digital, marketing, or consulting environment.
- Strong SQL and experience building data models (e.g. dbt or similar tooling).
- Experience working directly with clients or stakeholders, owning relationships and strategic direction.
- Strong understanding of digital marketing, including tracking, attribution, and performance channels.
- Ability to translate complex technical work into clear, actionable insights for non-technical audiences.
- Experience with data visualisation tools (e.g. Tableau, Looker) and storytelling through data.
- Comfortable operating across both hands-on technical delivery and high-level strategic conversations.
- Experience mentoring or supporting more junior analysts.
You need to be based in the UK. Unfortunately this role can not offer sponsorship.
Lead Data Analyst in London employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and marketing space. Attend industry events or webinars, and don’t be shy about introducing yourself. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills! Create a portfolio of your best data projects and insights. Use platforms like GitHub or even a personal website to display your work. This gives potential employers a taste of what you can do, and we love seeing creativity in action!
✨Tip Number 3
Prepare for interviews by practising common data-related questions. Think about how you can translate complex datasets into actionable insights, just like you would for a client. We recommend doing mock interviews with friends or using online resources to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are ready to make an impact in the data world!
We think you need these skills to ace Lead Data Analyst in 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 data strategy, client engagement, and any relevant tools like SQL or Tableau. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data analytics and how you can drive measurable outcomes for our clients. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Don’t hold back on your technical abilities! Whether it’s data modelling or visualisation, make sure to detail your experience with the tools and techniques mentioned in the job description. We love seeing hands-on experience that translates into strategic insights.
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 Cognify Search
✨Know Your Data Inside Out
Before the interview, dive deep into your past data projects. Be ready to discuss specific examples where you owned the end-to-end delivery of data strategy and analytics. Highlight how your work translated into measurable outcomes for clients.
✨Showcase Your Client Engagement Skills
Prepare to talk about your experience in building long-term relationships with clients. Think of instances where you acted as a senior partner, shaping roadmaps and ensuring alignment with stakeholders. This will demonstrate your ability to bridge technical delivery and client engagement.
✨Master the Art of Simplifying Complexity
Practice explaining complex datasets and insights in a way that non-technical audiences can grasp. Use clear, commercially focused language to convey your findings. This skill is crucial for translating your technical work into actionable insights for senior stakeholders.
✨Be Ready to Discuss Tools and Techniques
Familiarise yourself with the tools mentioned in the job description, like SQL, dbt, and data visualisation platforms such as Tableau or Looker. Be prepared to discuss how you've used these tools in your previous roles to design scalable data models and drive best practices.