At a Glance
- Tasks: Design and maintain data models, driving data-driven decisions across corporate functions.
- Company: Join a leading company in data intelligence with a collaborative culture.
- Benefits: Enjoy a competitive salary, health benefits, and hybrid work flexibility.
- Other info: Great opportunities for career growth and working with cutting-edge technologies.
- Why this job: Make an impact by bridging business needs and data solutions in a dynamic environment.
- Qualifications: Experience in data modelling and strong SQL skills are essential.
The predicted salary is between 70000 - 90000 £ per year.
We are looking for a Data Modeler (Corporate Functions) who will join the Corporate Data Intelligence Team to drive data driven decisions.
Overview of the Role
You will serve as the critical bridge between business stakeholders and our data platform, deeply embedded in corporate functions including SAP ERP, Master Data, Salesforce (SFDC), Procurement, and Planning. This is a business-facing, domain-focused role with strong data engineering experience. You will design robust, scalable data models, drive requirement gathering sessions, and work hand-in-hand with the Senior Corporate Analytics Architect and the broader Corporate Data Intelligence function. You will report directly to the Corporate Data Intelligence Lead.
Your Day-to-Day – We do what others say can't be done
- Lead and facilitate requirements gathering sessions with business stakeholders across Finance, Procurement, Planning, Supply Chain, and CRM functions
- Design and maintain conceptual, logical, and physical data models for corporate domains, SAP ERP, Master Data, SFDC, Procurement, and Planning
- Develop and manage dbt models (transformations, tests, documentation, macros) to support analytics and reporting use cases
- Partner closely with the Senior Corporate Analytics Architect to align data models with enterprise architecture standards and governance frameworks
- Serve as the domain SME, map source-to-target lineage from SAP, SFDC, and other enterprise systems with deep understanding of business rules and object hierarchies
- Translate complex business requirements into clear data model specifications, ER diagrams, and data dictionaries
- Ensure data consistency and integrity across domains through well-governed master data modelling practices
- Define and enforce data model standards, naming conventions, and documentation across the Corporate Data Intelligence domain
- Collaborate with analytics and BI teams to ensure models support self-service analytics, semantic layers, and reusable data assets
- Act as the liaison between business domain owners and the data platform team
Your Profile – Ready to Join the Pack?
- Proven hands-on experience in data modelling - conceptual, logical, and physical including dimensional modelling and ER design
- Strong working knowledge of SAP ERP (FI/CO, MM, SD or equivalent modules), Master Data Management, Salesforce (SFDC), Procurement, and Planning processes
- Hands-on experience with dbt - model development, testing, documentation, and macros
- Advanced SQL skills with ability to profile, analyze, and validate data against business definitions
- Demonstrated experience in requirements gathering, running workshops, documenting user stories, and engaging senior business stakeholders confidently
- Strong analytical mindset, ability to define business metrics, validate data quality, and ensure model accuracy against KPIs
- Excellent communication and interpersonal skills - comfortable working with Senior Architects, business leads, and cross-functional teams
Nice to Have
- Experience with Data Engineering concepts (ELT pipelines, Snowflake, Dagster)
- Exposure to Snowflake as the analytics warehouse platform
- Knowledge of SAP MDG (Master Data Governance) or equivalent MDM platforms
- Experience in a manufacturing, semiconductor, or high-tech industry environment
- Familiarity with Agile delivery methodology
Data Modeler (Corporate Functions) in Belfast employer: Wolfspeed
Join our dynamic Corporate Data Intelligence Team in Belfast, where we foster a collaborative and innovative work culture that empowers employees to drive impactful data-driven decisions. As a Data Modeler, you will have the opportunity to work closely with business stakeholders across various corporate functions, enhancing your skills while contributing to meaningful projects. We offer a hybrid work model, competitive benefits, and ample opportunities for professional growth, making us an excellent employer for those seeking a rewarding career in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler (Corporate Functions) in Belfast
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We think you need these skills to ace Data Modeler (Corporate Functions) in Belfast
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 Wolfspeed, 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 Wolfspeed. 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 Wolfspeed
✨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 Wolfspeed!
✨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.
