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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 client engagement expertise required.
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 employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics field. Attend industry meetups or webinars, and don’t be shy about sharing your expertise. You never know who might have a lead on that perfect Lead Data Analyst role!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best data projects. Include case studies that demonstrate how your insights led to measurable outcomes for clients. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to explain complex data concepts in simple terms. Remember, you’ll need to bridge the gap between technical delivery and client engagement, so practice makes perfect!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind. Plus, it’s a great chance to reiterate why you’re the ideal candidate for the Lead Data Analyst position.
We think you need these skills to ace Lead Data Analyst
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 data visualisation software. 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 any specific projects that showcase your ability to bridge technical and strategic work.
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Whether it's data modelling or using tools like dbt, make sure to detail your hands-on experience. We love seeing how you've used these skills to deliver insights that matter to stakeholders.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Cognify Search
✨Know Your Data Inside Out
Make sure you’re well-versed in the data models and analytics tools mentioned in the job description. Brush up on your SQL skills and be ready to discuss how you've built data models or transformed datasets in previous roles. This will show that you can hit the ground running.
✨Prepare for Client Engagement Scenarios
Since this role involves acting as a senior partner for key accounts, think of examples where you've successfully managed client relationships. Be prepared to discuss how you’ve shaped client strategies and delivered insights that drove commercial outcomes. This will demonstrate your ability to bridge technical work with client needs.
✨Showcase Your Storytelling Skills
You’ll need to translate complex data into clear insights for non-technical audiences. Prepare a few examples of how you've done this in the past, perhaps using data visualisation tools like Tableau or Looker. Highlight how your storytelling led to actionable decisions for stakeholders.
✨Demonstrate Leadership and Mentorship
As a Lead Data Analyst, you’ll likely be mentoring junior analysts. Think about times when you’ve supported others in their development or led a project team. Share these experiences to illustrate your leadership style and how you foster collaboration within a team.