At a Glance
- Tasks: Create and optimise data models for mortgage and savings solutions.
- Company: Join a leading financial services programme in Leeds.
- Benefits: Competitive salary, career growth, and collaborative work environment.
- Other info: Opportunity to work with business stakeholders and technical teams.
- Why this job: Make an impact in the financial sector with your data expertise.
- Qualifications: Strong SQL skills and experience in data modelling required.
The predicted salary is between 40000 - 50000 £ per year.
We are hiring an experienced Data Modeller / Data Analyst to join a major financial services programme focused on mortgage and savings portfolio data solutions. This is a strong opportunity for someone with deep SQL and data modelling expertise who enjoys working closely with business stakeholders and technical teams.
Key Responsibilities
- Create conceptual, logical and physical data models
- Develop ER diagrams and metadata structures
- Work with business stakeholders to understand data requirements
- Support data warehousing and semantic modelling initiatives
- Collaborate with BI, analytics and DBA teams
- Ensure data quality, governance and model optimisation
- Maintain metadata, lineage and modelling standards
Required Skills & Experience
- Strong experience in Data Modelling / Data Analysis
- Advanced SQL skills
- Experience with logical and physical data modelling
- Strong understanding of data warehousing principles
- Experience creating ERD / ER diagrams
- Metadata management experience
- Excellent stakeholder management and communication skills
- Financial services, banking, lending or mortgage domain experience
Desirable
- Erwin experience
- Retail banking or mortgage portfolio exposure
- Semantic modelling / lineage experience
Data Modelling and Analysis Specialist. Job in Leeds LilyLifestyle Jobs in Morley employer: United Cerebral Palsy of Georgia
Join a leading financial services provider in Leeds, where we prioritise employee growth and development within a collaborative and innovative work culture. As a Data Modelling and Analysis Specialist, you will benefit from competitive remuneration, comprehensive training programmes, and the opportunity to work on impactful projects that shape our mortgage and savings portfolio solutions. Our commitment to data quality and governance ensures that you will be part of a team that values excellence and fosters professional advancement.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Modelling and Analysis Specialist. Job in Leeds LilyLifestyle Jobs in Morley
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those who work with data. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects, SQL queries, and any ER diagrams you've developed. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder management skills. Be ready to discuss how you've collaborated with business teams in the past and how you can ensure data quality and governance in your new role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Modelling and Analysis Specialist. Job in Leeds LilyLifestyle Jobs in Morley
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Modelling and Analysis Specialist role. Highlight your SQL skills and any relevant experience in data modelling, especially in financial services. We want to see how your background aligns with what we're looking for!
Showcase Your Projects:Include specific projects where you've created data models or worked with ER diagrams. This gives us a clear picture of your hands-on experience and how you tackle real-world data challenges. Don't be shy about sharing your successes!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for your skills and experiences to make it easy for us to read. We appreciate straightforward communication, especially when it comes to complex topics like data modelling.
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 us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your SQL skills and data modelling techniques. Be prepared to discuss specific projects where you've created conceptual, logical, or physical data models. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Understand the Business Context
Since this role involves working closely with business stakeholders, take some time to research the financial services sector, particularly mortgage and savings portfolios. Being able to speak knowledgeably about industry trends and challenges will impress your interviewers and demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect technical questions related to data warehousing principles and ER diagrams. Practise explaining your thought process when developing data models and how you ensure data quality and governance. This will help you articulate your expertise clearly during the interview.
✨Showcase Your Collaboration Skills
Highlight your experience working with BI, analytics, and DBA teams. Prepare examples of how you've successfully collaborated with different stakeholders to meet data requirements. This will illustrate your strong communication skills and ability to work effectively in a team environment.
