At a Glance
- Tasks: Design and build scalable analytical data models for business intelligence and reporting.
- Company: Join a dynamic team at a leading digital analytics firm in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and data-driven strategies.
- Why this job: Make an impact by transforming raw data into valuable insights for various teams.
- Qualifications: Advanced SQL skills and experience with BI tools required.
The predicted salary is between 50000 - 65000 £ per year.
We are seeking an Analytics Engineer to design and build scalable analytical data models that support business intelligence, reporting and commercial analytics. The role sits within a multidisciplinary data team responsible for delivering trusted analytical data products used across Digital, Commercial, Service and Marketing teams. The ideal candidate will combine strong analytical thinking with advanced SQL engineering capability, and will have experience designing analytics-ready datasets used by BI tools or semantic layers.
What you’ll be doing:
- Drives the design, coding, testing and deployment of data processes for ingestion, transformation and curation of data, ensuring compliance with data security and privacy standards.
- Builds strong working relationships with product teams and stakeholders to translate business needs into clear analytical requirements and solution designs.
- Ensures effective tracking, integration and optimisation of data within analytics environments, maintaining data quality and accessibility.
- Monitors and interprets key reporting metrics (e.g., revenue, consumption, operational KPIs) to enable accurate performance tracking and insight generation.
- Leads the delivery of Agile routines and ways of working, ensuring consistent, high quality and iterative delivery of analytical outputs.
- Identifies and implements enhancements to data analytics processes, driving improvements to efficiency, reliability and scalability.
- Analyses business needs and evaluates solution options, facilitating stakeholder alignment and contributing to the development of data driven strategies.
- Undertakes quality assurance and testing of analytical routines, data models and frameworks to ensure accuracy, robustness and suitability for business use.
- Support the evolution of the organisation’s analytics data layer and self-service reporting capability.
- Develop robust SQL transformations to convert raw source data into trusted analytical assets.
- Design and implement scalable analytical data models in SQL used by BI tools and analytics platforms.
Essential Skills / Experience:
- Advanced SQL skills with experience engineering complex analytical transformations.
- Proven experience building analytical data models used by BI tools or reporting platforms with experience designing analytics-ready datasets rather than ingestion pipelines.
- Strong experience with cloud data warehouse platforms (preferably Google BigQuery / GCP).
Desirable Skills / Experience:
- Experience in working with digital data sources and data types. (Experience in working with Adobe Analytics advantageous)
- Experience working in commercial or marketing analytics environments.
- Experience designing consistent business metrics used across reporting and analytics.
- Experienced in building analytics-ready datasets used by BI tools and reporting platforms.
- Exposure to AI-enabled analytics tools or modern data workflows.
- Collaborative and comfortable working within cross-functional data teams.
Candidate Profile:
- Strong analytical mindset combined with engineering discipline.
- Comfortable working with complex business data and translating it into analytical structures.
- Experienced in building analytics-ready datasets used by BI tools and reporting platforms.
- Collaborative and comfortable working within cross-functional data teams.
- Commercially savvy, with the ability to translate complex information to senior stakeholders.
- Passion for data analysis and problem solving with a proactive and analytical approach.
Analytics Engineer: Scalable SQL & BI Data Models employer: 慨正橡扯
At our London office, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As an Analytics Engineer, you will have access to cutting-edge technology and the opportunity to work alongside talented professionals in a multidisciplinary team, driving impactful data solutions. We are committed to your professional growth, offering continuous learning opportunities and a supportive environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer: Scalable SQL & BI Data Models
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your SQL projects or analytical models. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for common interview questions but also be ready to discuss specific projects you've worked on. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
✨Apply Through Us!
We’ve got some fantastic roles listed on our website, so don’t hesitate to apply directly! Tailor your application to show how your skills align with the job description, and let’s get you that dream role together.
We think you need these skills to ace Analytics Engineer: Scalable SQL & BI Data Models
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Analytics Engineer. Highlight your advanced SQL skills and any experience with BI tools or cloud data warehouses like Google BigQuery. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how your experience can help us build scalable analytical models. Keep it concise but impactful, and don’t forget to mention your collaborative spirit!
Showcase Relevant Projects:If you've worked on projects that involved designing analytics-ready datasets or building data models, make sure to include them in your application. We love seeing real-world examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at 慨正橡扯
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex analytical transformations you've engineered in the past. Practising common SQL queries and understanding how they apply to business intelligence will give you a solid edge.
✨Showcase Your Analytical Mindset
During the interview, highlight your ability to translate complex business data into actionable insights. Prepare examples of how you've built analytical data models or datasets that have directly impacted decision-making in previous roles. This will demonstrate your analytical thinking and problem-solving skills.
✨Familiarise Yourself with BI Tools
Since the role involves working with BI tools, make sure you know which platforms you've used and how you've implemented analytics-ready datasets. Be ready to discuss specific projects where these tools played a crucial role in delivering insights or reports.
✨Emphasise Collaboration Skills
This position requires working within cross-functional teams, so be prepared to talk about your experience collaborating with product teams and stakeholders. Share examples of how you've successfully translated business needs into analytical requirements, showcasing your communication and teamwork abilities.
