At a Glance
- Tasks: Build scalable data models and support AI-driven decision-making.
- Company: Global, an inclusive employer committed to diversity.
- Benefits: Competitive salary, flexible work options, and a supportive culture.
- Other info: Join a team that values innovation and personal growth.
- Why this job: Shape the future of analytics in a dynamic, collaborative environment.
- 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. Please do not contact the recruiter directly. Accepting applications until: 19 June 2026.
Your Role: A hands‑on analytics engineering role focused on building trusted, scalable data models that power insight, measurement and AI‑driven decision‑making.
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: myGwork - LGBTQ+ Business Community
Global is an exceptional employer that champions inclusivity and diversity, making it a fantastic place for professionals seeking meaningful work in analytics engineering. With a strong focus on employee growth, collaborative work culture, and the opportunity to contribute to cutting-edge AI-driven projects, employees are empowered to take ownership of their work while enjoying a supportive environment. Located in a vibrant community, Global offers unique advantages such as access to a global network and resources that enhance both personal and professional development.
Contact Detail:
myGwork - LGBTQ+ Business Community Recruiting Team
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, especially those already working at Global. A friendly chat can open doors and give you insider info that could make your application stand out.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your analytics engineering prowess, don’t hesitate to share them. Visuals can speak louder than words!
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and data modelling skills. Be ready to discuss how you’ve tackled real-world data challenges and how you can contribute to building scalable data models at Global.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the 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 vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics engineering and how your background makes you a perfect fit for us. Don’t forget to mention your collaborative spirit and how you can help us solve real-world problems.
Showcase Your Projects:If you've worked on any projects that demonstrate your data modelling skills or experience with tools like dbt or Python, make sure to include them. We love seeing practical examples of your work and how you’ve turned complex data into clear insights.
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 on joining our team at StudySmarter!
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨Know Your Data Models
Before the interview, brush up on your data modelling skills. Be ready to discuss how you've designed scalable and reusable data models in the past. Think of specific examples where your models have directly impacted business decisions.
✨Showcase Your SQL Expertise
Prepare to demonstrate your SQL skills during the interview. You might be asked to solve a problem or optimise a query on the spot. Practise common SQL scenarios and be ready to explain your thought process clearly.
✨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 support their goals. This shows that you’re not just technically skilled but also aligned with their mission.
✨Emphasise Collaboration
Highlight your experience working with cross-functional teams. Be ready to share examples of how you've partnered with analytics, product, and commercial teams to define KPIs and ensure consistent decision-making. This will show that you value teamwork and communication.
