Junior Product Modeller

2 weeks ago

Sydney, Australia CRU Full time

About the Company:
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:
This role involves collaborating with teams across the business, helping them adapt to new systems, and ensuring the success of our digital evolution. If you're passionate about transforming data into actionable insights, this role is for you.

**Responsibilities**:
We are simplifying and transforming our Excel models using templated algorithms, streamlining complex calculations while maintaining precision. In this role, you’ll gain deep insight into commodity analysis, particularly in fertilizers, and learn how business, software, and data analysis intersect to deliver solutions.

Collaborate in a dynamic, problem-solving team, covering for colleagues in data delivery, project development, and lifecycle management.
Diagnose problems, research, and write business requirements to prioritize solutions.
Understand CRU metadata, protocols, client needs, and best modeling practices.
Write detailed design requirements to improve models, processes, and algorithms.
Build or collaborate on developing solutions in CRU software.
Present clear evidence of progress, diagnose issues, and champion best practices with internal and external stakeholders.
Test models to meet business requirements, anticipate issues, and proactively optimise data models.
Train and mentor colleagues, sharing best practices across CRU globally.

**Essential Criteria**

Qualifications:
Degree in numerate discipline math's, natural science, engineering, computer science or economics

Skills & Experience:
0-4 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.

**Desirable Criteria

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