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- Tasks: Transform data into actionable insights and collaborate with diverse teams.
- Company: Join AXS, a leader in ticketing technology and live entertainment.
- Benefits: Flexible working hours, hybrid model, and a supportive team culture.
- Other info: Inclusive workplace that values diverse perspectives and encourages growth.
- Why this job: Make a real impact on live experiences for millions of fans worldwide.
- Qualifications: Experience with dbt, SQL, and cloud-based data platforms like Snowflake.
The predicted salary is between 50000 - 65000 £ per year.
AXS, part of AEG, is a global leader in ticketing technology. We’re looking for an Analytics Engineer to join our team in London. This role sits at the intersection of data engineering and business intelligence, helping translate data into trusted, usable analytics for teams across the organisation. You'll be part of our global analytics engineering function, working towards a shared analytics codebase that supports all regions and markets.
Responsibilities
- Analytics Engineering & Data Modelling: Apply engineering best practices to build well-defined, tested, documented, and reviewed data sets; design and maintain analytics layers that support real-time insights across B2C environments; define and build core data models spanning business, marketing, finance, and other domains; help plan, define, and develop models such as marketing attribution, pricing, and inventory optimisation.
- Collaboration & Stakeholder Partnership: Work closely with Data Science, Data Engineering, Business Intelligence, and Product teams to understand the data behind key metrics; collaborate across the organisation, as well as with clients and external partners, to understand data and analysis needs; operate as part of a global function, supporting consistent analytics approaches across all markets.
- Platform & Data Integration: Identify and integrate new data sources in partnership with relevant teams; contribute to a shared analytics codebase that supports scalable and repeatable solutions.
- Problem Solving & Continuous Improvement: Work through complex data problems and contribute to practical, scalable solutions; support best practices around data quality, testing, monitoring, and governance.
What We're Looking For
- Experience working with dbt.
- Strong SQL skills.
- Experience building analytics layers used across B2C organisations.
- Experience with cloud-based data platforms, ideally Snowflake.
- Experience using Git for version control.
- Solid understanding of data best practices, including hygiene, modelling, testing, and monitoring.
- Experience defining and working with core data models (business, marketing, finance, etc.).
- An approach that shows initiative, curiosity, and a focus on finding scalable solutions.
- Ability to balance multiple projects, both strategic and tactical.
Why Join AXS?
You'll be part of a global organisation at the heart of live entertainment, working with collaborative teams, modern data tools, and analytics that have meaningful impact. You'll also be joining a company recognised as one of the UK's best places to work.
Location and Working Pattern
This role is based in our London Head Office near London Bridge station. We work 3 days in the office (Tue–Thu) and 2 days from home (Monday and Friday). We also offer flexible start and end times and welcome flexible working conversations.
Why Our People Love Working Here
AEG is an inclusive organisation where we value everybody's contribution. We empower and trust our people to do the right thing. We go the extra mile, for our customers and each other, every time. We are always open to new ideas and respect all opinions. We support and bring out the best in each other. We really value our people and inspire them to be the best in class, always!
Our Commitment to Inclusion
We are committed to fostering a diverse and inclusive workforce. We believe in equality of opportunity for all and our approach to recruitment and selection is fair, open and based purely on merit. Applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. If you require reasonable adjustments in any recruitment process with us, please make us aware. We know that diverse teams make the strongest teams. That's why we actively encourage people from all backgrounds, experiences and perspectives to apply.
If this role excites you but you're wondering whether you meet every single requirement - don't hold back. If you've got most of what we're looking for and you're passionate about what we do, we'd love to hear from you. You might be exactly who we need, in this role or another.
Because at AEG Europe, we believe that the best ideas come from the most inclusive teams - and we're building a workplace where everyone can thrive.
Analytics Engineer in Wall employer: myGwork - LGBTQ+ Business Community
Contact Detail:
myGwork - LGBTQ+ Business Community Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in Wall
✨Tip Number 1
Network like a pro! Reach out to current employees at AXS on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Analytics Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and dbt skills. Be ready to discuss how you've used these tools in past projects. We want to see your problem-solving skills in action, so think of examples that showcase your analytical prowess.
✨Tip Number 3
Show your passion for data! When you get the chance, share your thoughts on recent trends in analytics or data engineering. This will demonstrate your initiative and curiosity, which are key traits we look for at AXS.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team at AXS. Let’s make data magic happen together!
We think you need these skills to ace Analytics Engineer in Wall
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Analytics Engineer role. Highlight your SQL skills, experience with dbt, and any cloud-based data platforms you've worked with. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for data. Share why you're excited about the role and how your background aligns with our mission at AXS. Let us know what makes you tick!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data problems in the past. We love candidates who can demonstrate initiative and curiosity, so don't hold back on sharing your successes and learnings!
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 the role. Plus, it shows us you’re keen to join our team at AXS!
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, especially dbt and SQL. Brush up on your experience with cloud-based platforms like Snowflake, as being able to discuss these confidently will show you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data problems you've tackled in the past. Be ready to explain your thought process and the solutions you implemented. This will demonstrate your analytical mindset and ability to contribute to continuous improvement.
✨Collaboration is Key
Since this role involves working closely with various teams, think of instances where you’ve successfully collaborated with others. Highlight how you’ve partnered with stakeholders to understand their data needs and how you’ve contributed to shared goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s analytics approach and how they integrate data across different teams. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.