At a Glance
- Tasks: Design and optimise data structures for impactful Business Intelligence and analytics.
- Company: Join Leonardo UK, a leader in innovative data solutions.
- Benefits: Generous leave, award-winning pension, mental health support, and flexible working options.
- Other info: Flexible hours, part-time opportunities, and access to 4,000+ online courses.
- Why this job: Shape the future of data architecture and drive meaningful insights.
- Qualifications: Strong knowledge of data modelling, SQL, and a positive attitude to learn.
Your Impact
At Leonardo UK, you’ll play a key role in shaping the foundations of enterprise‑wide data and analytics capabilities. As part of our growing data function, you’ll be responsible for designing and optimising data structures that enable trusted Business Intelligence, advanced analytics, and informed decision‑making across the organisation.
Responsibilities
- Design, organise and optimise enterprise data models and structures that support scalable Business Intelligence and analytics solutions.
- Develop and maintain logical and physical data models for modern BI environments, ensuring data is structured for performance, usability and long‑term scalability.
- Drive semantic and structural consistency across data platforms and systems, enabling accurate reporting and aligned business insights.
- Work closely with technical teams, data engineers and business stakeholders to understand analytical requirements and translate them into effective data architecture solutions.
- Ensure data is accessible, reliable and aligned to organisational objectives, supporting both operational reporting and strategic decision‑making.
- Contribute to the evolution of enterprise data standards, governance practices and modelling frameworks to improve data quality and consistency across the wider ecosystem.
- Support the delivery of advanced analytics and reporting initiatives by creating data structures that empower insight generation and self‑service BI capabilities.
- Collaborate across teams to continuously improve the organisation’s data architecture, helping to build a robust and future‑ready analytics environment.
What You’ll Bring
- Strong knowledge of data modelling methodologies and best practices.
- Experience with SQL, ETL processes, data warehousing and Business Intelligence platforms.
- Familiarity with big‑data technologies such as Hadoop and Spark.
- Understanding of data architecture principles and IT service delivery processes.
- Ability to analyse and interpret complex datasets to create scalable and effective data models.
- Strong troubleshooting and problem‑solving capabilities related to data management and integration.
- Bachelor’s degree in Computer Science, Computer Engineering, Statistics, Economics or a related field.
- Master’s degree or postgraduate specialisation in Data Science, Data Analytics, IT Service Management or Business & IT Alignment is considered an asset.
- Experience in data modelling, data architecture, Business Intelligence or related roles.
- Experience with data integration techniques and enterprise data management environments.
- Positive attitude and willingness to learn (the most important skill).
Security Clearance
This role is subject to pre‑employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). Additional Personnel Security Controls referred to as National Security Vetting (NSV) may apply, including eligibility for The Security Check (SC) or Developed Vetting (DV).
Benefits
- Generous leave with the opportunity to accrue up to 12 additional flexi‑days each year.
- Benefit from our award‑winning pension scheme with up to 15 % employer contribution.
- Free access to mental health support, financial advice and employee‑led networks championing inclusion and diversity.
- Eligible for our bonus scheme at management level and below.
- Free access to more than 4,000 online courses via Coursera and LinkedIn Learning.
- Financial reward through our referral programme.
- Flexible benefits up to £500 annually for private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more.
- Flexible working hours with hybrid working options.
- Part‑time opportunities can be discussed.
Location
Primary Location: GB – Edinburgh. Additional Locations: GB – Basildon, GB – Bristol – Coldharbour Lane, GB – Bristol – Others, GB – Luton – Cap. Green 300, GB – Southampton, GB – Yeovil – Lysander Rd.
Contract
Permanent – Hybrid.
Salary
£53,000 – £71,000.
Data Modeler in Southampton employer: Leonardo
At Leonardo UK, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through generous benefits such as flexible working hours, access to extensive online learning resources, and a robust pension scheme with significant employer contributions. Located in the vibrant city of Edinburgh, we provide a supportive environment where your contributions directly impact our enterprise-wide data capabilities, making this a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler in Southampton
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Modeler in Southampton
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 Leonardo, 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 Leonardo. 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 Leonardo
✨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!
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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 Leonardo!
✨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.
