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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 innovation.
- Why this job: Make a real impact on live experiences for millions of fans worldwide.
- Qualifications: Strong SQL skills and experience with analytics layers in B2C environments.
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.
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 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
✨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 your application process. It’s all about making connections!
✨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. Show us your problem-solving skills and how you can contribute to our analytics layers!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your collaborative spirit too! AXS values teamwork, so share examples of how you’ve worked with cross-functional teams to achieve common goals.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in being part of the AXS family. Let’s make data magic together!
We think you need these skills to ace Analytics Engineer
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 relevant projects that showcase your data modelling expertise.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role at AXS. Share your passion for data and how you can contribute to our analytics team. Be genuine and let your personality shine through!
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 a focus on finding scalable solutions, so don’t hold back!
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 you’re keen to join our team!
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, like dbt and SQL. Brush up on your cloud-based data platforms, especially Snowflake, as this will show you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data problems in the past. Be ready to discuss specific scenarios where you applied engineering best practices or improved data quality, as this aligns perfectly with what they’re looking for.
✨Collaboration is Key
Since the role involves working closely with various teams, think of instances where you’ve successfully collaborated with others. Highlight your experience in cross-functional projects and how you’ve contributed to a shared goal.
✨Ask Insightful Questions
Prepare thoughtful questions about their analytics processes and how they integrate new data sources. This not only shows your interest but also demonstrates your initiative and curiosity, which are traits they value highly.