Employer: CRU Group
Apprenticeship Provider: Multiverse
Apprenticeship Programme: Data Fellowship Level 4
Employment: 18 months
Schedule: Mon - Fri, 9:00am - 5:00pm, Hybrid role (2/3 days in office)
Start Date: September 2024
About
CRU offers unrivalled business intelligence on the global metals, mining and fertilizer industries through market analysis, price assessments, consultancy and events. We continue building success for us and our partners by embracing the values of always being adaptable, collaborative and positively proactive.
About the role
CRU delivers huge value to our clients in an ever-changing world through data and analysis on the global metals, mining, and fertilizer industries. In CRU, the Product Improvement & Data Governance team is responsible for data governance, building and maintaining centrally managed models and processes, and developing the next generation of products to meet our clients needs.
A Typical Day
- Extract, gather, analyse and interpret information, including both quantitative and qualitative from a range of sources.
- Be part of a dynamic team that uses data and intelligence to collaborate and problem solve.
- Proactively review and optimise data models and processes and reactively troubleshoot any issues the users of the data models encounter.
- Test data models to ensure they meet business requirements and acceptance criteria.
- Ensure timely and appropriate delivery of key information (reports and analyses).
- Work with data from a range of sources to present information in a meaningful way-increasing organisational knowledge and enabling evidence-based decisions.
- Participate in relevant meetings, providing advice and support where needed.
- Learn and apply the latest data tools and techniques to ensure CRU data management is best in class.
You must have
- GCSE English & Maths 4-9 (C-A*) or equivalent
Skills needed
- Ability to work on own initiative and organise own workload without supervision
- Good interpersonal skills.
- Adaptable and flexible approach to work.
- Professional, calm and efficient approach to work.
- Good attention to detail.
- Curiosity and enthusiasm.
- A strong desire for personal and professional growth.
- Some experience with Excel, Excel formulas and data analysis is desired.
- A clear passion and interest in data!
Perks and benefits
- Bike to work scheme
- Discounts
- Pension
- Volunteering