At a Glance
- Tasks: Build scalable data models and support AI-driven decision-making.
- Company: Global, an inclusive employer committed to diversity.
- Benefits: Flexible work environment, competitive salary, and professional growth opportunities.
- Other info: Join a dynamic team focused on real-world problem-solving.
- Why this job: Shape the future of analytics in a collaborative, innovative setting.
- Qualifications: Experience in analytics engineering and strong SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
This job is with Global, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
Your Role: Senior Analytics Engineer
A hands-on analytics engineering role focused on building trusted, scalable data models that power insight, measurement and AI-driven decision-making. As a Senior Analytics Engineer at Global, you will:
Key Responsibilities
- Data Modelling & Product Development (50%): Design, build and maintain scalable, reusable and well-documented data models and curated datasets that support analytics, BI, product and data science use cases. Translate complex raw data into trusted, business-aligned datasets.
- Data Quality, Testing & Documentation (25%): Implement robust testing frameworks and automated checks to ensure data accuracy, consistency and reliability. Maintain clear documentation and improve discoverability of datasets and metrics.
- Business Partnership & Metric Definition (25%): Work closely with Analytics, Product, Data Science and commercial teams to define and align on KPIs, business logic and data definitions. Ensure datasets support consistent decision-making across the organisation.
What You'll Love About This Role
- Think Big: Help build foundational analytics models and standards for a next-generation AI-driven intelligence platform.
- Own It: Take responsibility for trusted datasets and business logic that underpin key commercial and product decisions.
- Keep it Simple: Turn complex, messy data into clear, reusable and well-structured data products.
- Better Together: Collaborate across Data Engineering, Product, Analytics and Commercial teams to solve real-world problems.
What Success Looks Like
- In your first few months, you'll have built a strong understanding of the Global:IQ vision and key use cases.
- Delivered curated datasets supporting key targeting, optimisation or measurement needs.
- Established consistent business logic, definitions and KPIs across teams.
- Improved testing, documentation and data quality practices for core models.
- Embedded yourself into agile delivery processes and cross-functional teams.
- Identified opportunities to improve scalability, clarity and reusability of data models.
What You'll Need
- Analytics Engineering Experience: Background in analytics engineering or a similar data modelling-focused role.
- SQL Expertise: Strong SQL skills with experience using cloud data platforms (e.g. Snowflake).
- Data Modelling Skills: Proven ability to design scalable, well-structured and reusable data models.
- Tooling Experience: Experience with dbt, Python, Airflow or similar modern data stack tools.
- DataOps Practices: Familiarity with git, CI/CD and testing frameworks for data pipelines.
- Data Quality Focus: Strong understanding of validation, documentation and testing best practices.
- Stakeholder Collaboration: Ability to translate business needs into robust analytical datasets and definitions.
- Communication Skills: Able to explain technical concepts clearly to both technical and non-technical audiences.
- Mindset: Detail-oriented, pragmatic, proactive and comfortable working in fast-moving environments.
Senior Analytics Engineer employer: Global
Global is an exceptional employer that champions inclusivity and creativity, making it a fantastic place for aspiring Junior Shooters & Video Editors. Located in the vibrant Leicester Square, employees benefit from a dynamic work culture that encourages collaboration and innovation, with ample opportunities for professional growth within a highly skilled team. With the chance to create impactful content seen by millions, Global not only values your contributions but also supports your development in a fast-paced, exciting environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. This is your chance to demonstrate your expertise in analytics engineering and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling skills. Be ready to discuss how you've tackled real-world problems with data and how you can contribute to the team at Global.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our inclusive team at Global.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Analytics Engineer role. Highlight your analytics engineering experience, SQL expertise, and any relevant tools you've used. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your collaborative spirit and how you can help us build trusted datasets.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's data modelling or implementing testing frameworks, we love seeing real-world examples of your work and how you’ve tackled challenges.
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 at Global!
How to prepare for a job interview at Global
✨Know Your Data Models
Before the interview, brush up on your data modelling skills. Be ready to discuss how you've designed and maintained scalable data models in previous roles. Think of specific examples where your models have directly impacted business decisions.
✨Showcase Your SQL Skills
Since strong SQL skills are a must for this role, prepare to demonstrate your expertise. You might be asked to solve a problem or optimise a query on the spot, so practice common SQL challenges beforehand to feel confident.
✨Understand the Business Context
Familiarise yourself with Global's vision and key use cases. Be prepared to discuss how your work as an Analytics Engineer can align with their goals. This shows that you’re not just technically skilled but also understand the bigger picture.
✨Communicate Clearly
You’ll need to explain complex concepts to both technical and non-technical audiences. Practice articulating your past projects and the impact they had on the business. Clear communication will set you apart from other candidates.
