About CRU:
CRU International is a leading provider of business intelligence and consulting services in the metals, mining, and fertilizer industries. With over 50 years of experience, we offer valuable insights and analysis that help our clients make informed decisions in an ever-changing global market.
About the Role:
As a Product Modeller, you will play a pivotal role in generating accurate data on production, costs, demand, and prices—empowering our clients to navigate the ever-changing global marketplace with confidence. If you are passionate about data-driven analysis and eager to make a significant impact in the commodities sector, we invite you to apply and help us illuminate the future of these vital industries.
Responsibilities:
- Collaborate in a fast-paced environment, solving complex problems and managing data lifecycles
- Analyse business needs, formalise requirements, and design innovative solutions using cutting-edge tools like Snowflake
- Develop and optimize data models, ensuring high-quality outputs that drive client success
- Work closely with developers to implement solutions and champion best practices
- Contribute to continuous improvement through proactive review and bug resolution
- Present clear evidence of success, progress, separations of problems from solutions and lessons learned as part of diagnosing and managing change.
- Champion good practice with users. Create measures of data quality that can be used in marketing. Document models for internal staff.
- Proactively review and optimise data models and processes, anticipating any problems ahead. Reactively diagnose, prioritise and solve bugs.
- Test data models to ensure they meet business requirements and acceptance criteria.
Essential Criteria:
Qualifications:
- Degree in numerate discipline math's, natural science, engineering, computer science or economics
Required Skills:
- 2-4 years of experience as Product Modeller/Data Analyst/ BI Developer or similar
- Proven ability to read and write math's and formal notation. Some experience with Excel, Excel formulas and data analysis is desired.
- Familiarity with Data modelling concepts such as Attributes, Annotations, Formula, Objects, Cube, Dataset, Slice, Range, Templates, Parameters, Instances, Value Tree, Landing Page, Dashboard of KPI and Data adopters.
- Familiarity with business intelligence analytics such as Market Lever Analysis, Profit Line Chart, Dimension Editor, Time-Based Canvas, Input Editor, Scenario Analyser, Fixed and Variable Cost Breakdown analysis.
- Experience with Python, SQL, HTML will be useful.
What We Offer:
- Competitive salary and flexible benefits package
- Opportunities for professional growth and development as part of a global company
- A collaborative and supportive work environment
- The chance to work with industry-leading experts and over a diverse range of topics and projects
