At a Glance
- Tasks: Design and develop data models for analytics and reporting.
- Company: Join Jet2.com and Jet2holidays, a leader in travel experiences.
- Benefits: Enjoy hybrid working, 26 days holiday, and exclusive travel discounts.
- Other info: Dynamic environment with limitless career potential.
- Why this job: Shape the future of travel data and make a real impact.
- Qualifications: Experience in data modelling, SQL, and collaboration in teams.
The predicted salary is between 63000 - 77000 £ per year.
As our new Data Architect , you'll play a key role in shaping how analytical data assets are designed, governed and delivered across Jet2. com and Jet2holidays .
Working within our Data Engineering & Analytics function, you'll transform business requirements and complex data sources into robust logical models, dimensional models, data flows and design artefacts that enable high-quality analytics and insight.
As our Data Architect , you'll have access to a wide range of benefits including: Access to a generous discretionary bonus scheme Hybrid working (we're in the office 2 days per week) 26 days holiday (plus Bank Holidays) Colleague discounts on Jet2. com flights and Jet2holidays packages Many retail discounts on travel and leisure, health and wellbeing, eating out, shopping and lifestyle Annual pay reviews At Jet2. com and Jet2holidays we're working together to deliver an amazing journey, literally!
We work together to drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights.
We couldn't do it without our wonderful people.
What you'll be doing: Designing and developing logical and dimensional data models that support reporting, analytics and data products.
Translating business requirements and conceptual designs into practical, delivery-ready data structures and design artefacts.
Profiling and analysing source data using SQL to understand quality, completeness and suitability for analytical use cases.
Creating source-to-target mappings, transformation documentation, data flow diagrams and lineage views.
Working collaboratively within cross-functional Analytics Design Squads alongside Business Analysts, Data Governance specialists, Product Owners and Engineers.
Supporting the development of governed, reusable data assets and modelling standards across the organisation.
Identifying risks, dependencies and assumptions early in the design lifecycle to improve delivery outcomes.
Communicating complex data concepts clearly to both technical and non-technical stakeholders.
What you'll have: Proven experience creating logical data models and analytical data designs.
Strong dimensional modelling expertise using Kimball methodologies, including facts, dimensions, measures and grain.
Advanced SQL skills with experience investigating, profiling and analysing data.
Experience producing data flow diagrams, lineage documentation and source-to-target mappings.
Strong understanding of data warehousing, analytical platforms and reporting environments.
Experience working with large-scale relational databases or modern cloud-based analytical platforms.
The ability to translate business requirements into effective and scalable data solutions.
Excellent communication and collaboration skills with experience working in cross-functional teams.
Desirable experience includes Snowflake, Alation, modern data catalogue tools, medallion architecture and Agile delivery environments.
Join us as we redefine travel experiences and create memories for millions of passengers.
At Jet2. com and Jet2holidays , your potential has no limits.
Apply today and let your career take flight!
TPBN1_UKTJ
Data Information Architect in Leeds employer: All The Top Bananas
My Four Wheels is an exceptional employer, offering a rewarding career as a Trainee Driving Instructor with flexible working hours and the potential to earn up to £50,000+ annually. With comprehensive training provided through our new Training Academy, employees benefit from ongoing support and resources, ensuring a fulfilling journey towards becoming a qualified instructor while enjoying the satisfaction of teaching locally in Westfield, Surrey.
StudySmarter Expert Advice🤫
We think this is how you could land Data Information Architect in Leeds
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like All The Top Bananas!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Information Architect at All The Top Bananas.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like All The Top Bananas.
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When you find a suitable opening like Data Information Architect at All The Top Bananas, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Information Architect in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at All The Top Bananas, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at All The Top Bananas. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at All The Top Bananas
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at All The Top Bananas!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
