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: Competitive salary, bonuses, and benefits, plus flexible working in London.
- Other info: Dynamic role with opportunities for growth and impact in a collaborative environment.
- Why this job: Shape the future of media while working with top brands like Netflix and Disney.
- Qualifications: Expertise in SQL, data modelling, and experience with cloud environments required.
The predicted salary is between 60000 - 80000 £ 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.
Lead Analytics Engineer employer: Bauer Media Group
At Bauer Media Group, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our London office offers a dynamic work environment where employees are empowered to make impactful decisions, supported by comprehensive benefits and opportunities for professional growth. Join us in shaping the future of media advertising while working with some of the world's leading brands, all within a vibrant city that inspires creativity and connection.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Analytics Engineer
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Bauer Media Group.
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We think you need these skills to ace Lead Analytics Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Bauer Media Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bauer Media Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Bauer Media Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Bauer Media Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
