Senior Analytics Manager

Senior Analytics Manager

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead and grow the UK analytics team, driving impactful data-driven decisions.
  • Company: Join a disruptive industry leader focused on innovation and growth.
  • Benefits: Competitive salary, leadership opportunities, and a dynamic work environment.
  • Other info: Collaborate with senior leaders and elevate your career in a thriving company.
  • Why this job: Shape the future of analytics in a fast-paced, high-impact role.
  • Qualifications: 8+ years in analytics, with strong SQL skills and leadership experience.

The predicted salary is between 70000 - 90000 £ per year.

If you are a high performer who thrives in fast-paced environments, this is an opportunity to innovate and leave a lasting mark on one of the world's most disruptive industries. Ready to shape what's next?

Requirements:

  • 8+ years of experience in analytics or data science, with 3+ years in a leadership role
  • Expert-level SQL and proficiency with modern data stack tools (dbt, Snowflake, Looker or similar)
  • Experience building and managing analytics teams in high-growth consumer or delivery businesses
  • Commercial fluency. You understand what moves the numbers in a consumer business – frequency, retention, basket, margin, CAC – and you can identify which analyses will actually shift them and which won't
  • Ability to translate complex analytical findings into clear, actionable recommendations for non-technical stakeholders

What the job involves:

  • Grow and lead the UK analytics team - define the right team shape (analyst mix, seniority, coverage), make the hires, and develop them into a high-performing function
  • Own the UK analytical roadmap - translate commercial questions from across the business into work that gets used. Push back on requests that won't move the number; protect team capacity for work that will
  • Steward the existing data infrastructure - maintain and evolve our dbt models, Snowflake warehouse, and Databricks workflows. Ensure pipelines are reliable, well-documented, and trusted by the business. Partner with central data engineering on platform-level changes
  • Be a senior thought partner to the UK senior leadership team – sit alongside business leaders, not behind them. Bring a point of view on commercial trade-offs grounded in data
  • Raise the bar on rigour and impact – coach analysts on the right level of statistical rigour for the decision in front of them, on writing for executive audiences, and on holding their ground commercially

Senior Analytics Manager employer: goPuff

Join a dynamic and innovative team as a Senior Analytics Manager, where your expertise will directly influence the future of one of the most disruptive industries. Our company fosters a collaborative work culture that prioritises employee growth, offering ample opportunities for professional development and leadership within a high-performing analytics team. Located in the UK, we provide a supportive environment that values data-driven decision-making and encourages you to make a meaningful impact on our commercial success.

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Contact Details:

goPuff Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Analytics Manager

Tip Number 1

Network like a pro! Reach out to connections in the analytics field, especially those who work in high-growth consumer businesses. A friendly chat can lead to insider info about job openings or even a referral.

Tip Number 2

Showcase your skills! Prepare a portfolio that highlights your SQL expertise and any projects using modern data stack tools like dbt or Snowflake. This will give you an edge when discussing your experience with potential employers.

Tip Number 3

Be ready to discuss commercial fluency! Brush up on key metrics like CAC and retention rates, and think of examples where your analyses have directly influenced business decisions. This will show you're not just a number cruncher but a strategic thinker.

Tip Number 4

Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to reflect how you can grow and lead the analytics team, and don’t forget to highlight your leadership experience!

We think you need these skills to ace Senior Analytics Manager

Analytics
Data Science
SQL
dbt
Snowflake
Looker
Team Leadership

Some tips for your application 🫡

Show Off Your Experience:Make sure to highlight your 8+ years in analytics or data science, especially your leadership experience. We want to see how you've built and managed teams before, so don’t hold back on those details!

Speak Our Language:Use the terminology from the job description when describing your skills and experiences. If you’ve worked with SQL, dbt, Snowflake, or Looker, let us know! It helps us see how you fit into our world.

Be Clear and Concise:When translating complex findings, keep it simple! We love actionable insights that even non-technical folks can understand. Show us how you can make data digestible for everyone.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to get your application and ensures you’re considered for this exciting opportunity!

How to prepare for a job interview at goPuff

Know Your Numbers

Make sure you brush up on key metrics that drive consumer businesses, like frequency, retention, and CAC. Be ready to discuss how your analytical insights have influenced these metrics in your previous roles.

Showcase Your Leadership Skills

Prepare examples of how you've built and managed analytics teams in high-growth environments. Highlight your experience in defining team structures and developing talent, as this will be crucial for the role.

Master the Tools

Familiarise yourself with SQL and the modern data stack tools mentioned in the job description, such as dbt and Snowflake. Be prepared to discuss specific projects where you've used these tools to drive results.

Communicate Clearly

Practice translating complex analytical findings into simple, actionable recommendations. You’ll need to demonstrate your ability to communicate effectively with non-technical stakeholders, so think of examples where you've done this successfully.