At a Glance
- Tasks: Transform complex data into clear insights for smarter decision-making.
- Company: Join a fast-moving, data-driven organisation with a growing data function.
- Benefits: Enjoy fully remote work, private medical cover, and incredible career opportunities.
- Other info: Collaborate with diverse teams and enhance your data literacy in a dynamic environment.
- Why this job: Shape data strategies and make a real impact across multiple departments.
- Qualifications: Strong SQL skills and experience with BI tools like Tableau or Power BI.
The predicted salary is between 50000 - 70000 £ per year.
We’re seeking a commercially minded Data Analytics Engineer to join a growing data function supporting a fast-moving, data-driven organisation. This role sits between data engineering and business intelligence, transforming complex data into clear, reliable insights that enable teams across the business to make smarter, faster decisions.
You will play a key role in shaping how data is structured, modelled, visualised and consumed, helping to improve reporting efficiency, data accessibility and analytical capability across multiple departments.
As a Data Analytics Engineer, you will take ownership of turning raw data into structured, analysis-ready datasets and delivering intuitive dashboards and reporting solutions that drive strategic decision-making.
- Designing and maintaining scalable data models optimised for analytical use
- Developing and optimising complex SQL transformations to clean, aggregate and enrich data
- Ensuring data accuracy through validation and quality control processes
- Building interactive dashboards and reports using leading BI platforms
- Translating business questions into clear and actionable data insights
- Working closely with technical and non-technical stakeholders to gather requirements and deliver effective data solutions
- Documenting data models, reporting logic and governance frameworks
- Improving performance of reporting solutions and identifying automation opportunities
- Supporting self-service analytics and improving data literacy across the business
Strong experience writing advanced SQL for large-scale data manipulation. Proven capability in designing analytical data models. Hands-on experience building dashboards with tools such as Tableau, Power BI, Looker or similar. Familiarity with modern data transformation tools and workflows (e.g. dbt or equivalent). Experience working with cloud-based data warehouses. Solid understanding of data architecture, ETL/ELT processes and reporting principles. A mindset focused on accuracy, performance and continuous improvement. Excellent communication skills with the ability to explain complex data concepts clearly.
Fully remote working. Private medical and health cover. Incredible career opportunities with a growing company.
BI / Data Architect employer: Travel Tech Talent
Join a dynamic and innovative team as a Data Analytics Engineer, where you'll thrive in a fully remote environment that champions flexibility and work-life balance. Our company offers exceptional career growth opportunities, comprehensive private medical and health cover, and a collaborative culture that values your contributions in transforming data into actionable insights. Be part of a fast-paced, data-driven organisation that empowers you to make a real impact across multiple departments.
StudySmarter Expert Advice🤫
We think this is how you could land BI / Data Architect
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual 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, dashboards, and any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data visualisation skills. Be ready to discuss how you've tackled complex data challenges in the past and how you can bring value to their team.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly shows your enthusiasm for joining our growing data function.
We think you need these skills to ace BI / Data Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Analytics Engineer. Highlight your experience with SQL, data modelling, and dashboard creation. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any relevant projects, don’t hold back! Include links or descriptions of dashboards you've built or data models you've designed. This gives us a taste of your hands-on experience.
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 the best chance to showcase your talents!
How to prepare for a job interview at Travel Tech Talent
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data architecture and analytics. Be ready to discuss specific examples of how you've transformed complex data into actionable insights, as this will showcase your hands-on experience and understanding of the role.
✨Master SQL and BI Tools
Brush up on your SQL skills and be prepared to demonstrate your ability to write advanced queries. Familiarise yourself with the BI tools mentioned in the job description, like Tableau or Power BI, and think of ways you can leverage them to create impactful dashboards.
✨Communicate Clearly and Confidently
Practice explaining complex data concepts in simple terms. The ability to communicate effectively with both technical and non-technical stakeholders is crucial, so consider how you would translate a business question into a data-driven solution during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, especially around data accuracy and reporting efficiency. Think of specific instances where you identified automation opportunities or improved data processes, as this will highlight your proactive mindset.
