Wolfspeed
Data Modeler (Corporate Functions)

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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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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


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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
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