Lead Analytics Engineer in London

Lead Analytics Engineer in London

London Full-Time 60000 - 75000 £ / year (est.) Home office (partial)
Bauer Media Outdoor

At a Glance

  • Tasks: Lead a team in building a critical data warehouse and enhance data-driven decision-making.
  • Company: Join a leading media advertising company with a mission to make a difference.
  • Benefits: Enjoy 25 paid holidays, healthcare, pension scheme, and more perks.
  • Other info: Inclusive environment where learning and growth are encouraged.
  • Why this job: Shape the future of media while working with top brands like Netflix and Disney.
  • Qualifications: Deep SQL expertise and experience in designing analytical models required.

The predicted salary is between 60000 - 75000 £ per year.

Our mission is to create tech that makes a difference, empowers teams, delights customers, and shapes the media world of tomorrow. We’re one of the leading media advertising companies with over 33,000 advertising sites across the UK and EU. As part of the global Bauer Media Group, we’re committed to being both a platform for brands and a platform for good. From Netflix, Disney, The National Lottery, Heineken and many more, we advertise for some of the best brands which reach millions of people every day! We don’t just sell space, we deliver impact for our clients and value for the communities we serve.

About The Role

We are seeking a Senior Analytics Engineer - Technical Lead to steer our team through a critical data warehouse build while elevating data-driven decision-making across the business. Reporting to the Analytics Manager and working alongside four Lead/Specialist Engineers, you will own the team’s technical direction and output quality, provide the strategic partnership needed for smart prioritization, and actively champion data literacy across business functions. Your authority is technical, but your impact will be measured by internal engineering excellence and external business confidence in our data.

What you’ll be doing:

  • Set and enforce the data modelling standards that govern how the team designs facts, dimensions, aggregates, and semantic layers.
  • Review and exercise independent judgement on modelling approaches proposed by Lead Analytics Engineers, making formal recommendations where decisions carry material risk or long-term architectural consequence.
  • Own the technical integrity of the curated data layer – ensuring what is built is correct, performant, well-documented, and genuinely fit for business use.
  • Translate business requirements into data model designs that are both technically sound and analytically useful.
  • Act as the final technical quality checkpoint before work reaches production or is presented to business stakeholders.
  • Bring genuine analytical expertise: the ability to sit with data, identify what it is and is not telling you, and present findings in a way that is clear, honest, and actionable.

What you’ll bring to the team:

  • Deep SQL expertise, including complex transformations, window functions and performance tuning in a cloud environment.
  • Proven experience designing analytical or data warehouse models.
  • Strong dimensional modelling knowledge such as Kimball approaches, star schemas and aggregates.
  • Experience with Databricks or similar platforms.
  • Hands on ownership of curated data layers used by the business.
  • Strong understanding of end-to-end data dependencies across a modern data stack (pipelines → models → semantic layer → consumption).
  • Strong understanding of data quality, profiling and validation techniques.
  • Mentoring and acting as a technical lead.

Nice to haves:

  • Azure Fabric.
  • Python for analysis, profiling or orchestration logic.

Don’t have it all? Bauer is a great place to learn so we still welcome your application!

What’s In It For You:

  • 25 paid holidays including bank holidays.
  • Company Pension Scheme paid up to 8%.
  • Healthcare Cash Plan.
  • Life Insurance and group income protection scheme.
  • Cycle to work scheme.
  • Enhanced Maternity & Paternity Cover.

We believe in fairness and as an equal opportunities employer we work hard to foster an inclusive environment, a place where you can truly be yourself and be treated fairly. We’re interested in what you can do, not just what you’ve done. Even if you don’t meet every requirement listed, we’d still love to hear from you!

If you need this job description in another format or need any adjustments for your application/interview process, please let us know at careers@bauermediaoutdoor.com.

Lead Analytics Engineer in London employer: Bauer Media Outdoor

Bauer Media Group is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. With a strong commitment to employee growth, we provide extensive benefits including a generous pension scheme, healthcare cash plan, and enhanced parental leave, ensuring our team members feel valued and supported. Join us to make a meaningful impact in the media advertising industry while working with some of the world's leading brands.

Bauer Media Outdoor

Contact Details:

Bauer Media Outdoor Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Analytics Engineer in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for those interviews! Research the company, understand their mission, and be ready to discuss how your skills align with their goals. Practise common interview questions and have your own questions ready to show your interest.

Tip Number 3

Showcase your projects! Whether it’s through a portfolio or GitHub, let your work speak for itself. Highlight any relevant analytics projects that demonstrate your skills and experience in data modelling and engineering.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Lead Analytics Engineer in London

SQL Expertise
Data Modelling Standards
Analytical Skills
Dimensional Modelling Knowledge
Data Warehouse Design
Performance Tuning
Data Quality Techniques

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Analytics Engineer role. Highlight your SQL expertise and any relevant projects you've worked on, as we want to see how you can contribute to our mission.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data and how you can elevate our analytics team. Share specific examples of your past work that demonstrate your analytical expertise and leadership skills.

Showcase Your Technical Skills:Don’t hold back on showcasing your technical abilities! Whether it’s your experience with data modelling or your knowledge of cloud environments, make sure we see how you can bring value to our data-driven decision-making.

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’re considered for this exciting opportunity to shape the media world of tomorrow!

How to prepare for a job interview at Bauer Media Outdoor

Know Your Data Modelling Standards

Before the interview, brush up on data modelling standards, especially those related to facts, dimensions, and aggregates. Be ready to discuss how you would enforce these standards and provide examples from your past experience.

Showcase Your SQL Skills

Prepare to demonstrate your deep SQL expertise. Think of specific complex transformations or performance tuning scenarios you've tackled in a cloud environment. Being able to articulate your thought process will impress the interviewers.

Understand Business Requirements

Familiarise yourself with how to translate business requirements into effective data model designs. Be prepared to discuss how you've done this in previous roles and how it impacted decision-making within the business.

Be Ready to Mentor

As a Lead Analytics Engineer, mentoring is key. Think about your past experiences where you've guided others technically. Share these stories to highlight your leadership skills and your commitment to fostering data literacy across teams.