End-Use Analyst - AutomotiveLondon, United Kingdom
Posted 25 March 2021
Please note - We will consider candidates both in London and Singapore. For Candidates that are applying to be based in Singapore, you must have full right to work in this location, we are unable to provide any Sponsorship to work.
Our Economics team are looking for a talented End-Use Analyst to be responsible for the primary research into the Automotive end-use markets. The Analyst will be analysing sales, production and inventory trends across key producing and consuming countries.
The Economics team’s brand is ‘Where macroeconomics meets commodities’, which means our focus is on linking developments in the wider economy to sectors and countries that matter to our clients in the global mining, metals and fertilizer industries.
Reporting into the Principal Economist, the Analyst will be focussed on collating key data, analysing trends and writing compelling narratives on the outlook for automotive markets, and will also monitor and analyse all legislation relating to the end-use market, especially Emissions legislation. The individual will also be responsible for the CRU outlook for the EV and new energy vehicles market, and its growth relative to traditional ICE market. The initial geographical emphasis for this role would be on China and other major producing countries in NE and SE Asia, but gradually this will develop into a global Automotive focussed role.
Candidates should be degree educated (Undergraduate and Masters) – The undergraduate degree (first or 2:1), should be from a top British university, or equivalent level qualification from a leading university outside of the UK. For any candidates that are fluent in Mandarin, this would be advantageous. As a global Company we work across multiple time zones, so a degree of flexibility will be needed.
Responsibilities will include:
- Maintain and develop a structured approach to data collection, storage, and analysis in the automotive sector – This will include owning and managing data across our internal systems such as Knoema
- Collate and assemble association data by country
- Becoming very familiar with CRU's research methodology, data systems, and economic forecasting methodologies
- Perform detailed analysis, and interpretation of data and statistics to support analysis and forecasts of vehicle markets
- Develop auto forecasts, both short-term and long term, for power trains, and especially the growth of the electric vehicle market
- Compile high quality quantitative and qualitative reports with both an eye to the short-term view as well as the longer-term drivers of specific end-use market for both internal stakeholders and our clients
- Develop and write powerful narratives for the outlook of the Automotive market
- To work closely with our customers, and assist them in obtaining maximum value from our services in the form of presentations, meetings, and conversations
- Contribute to forecasting end-use sectors, and driving the narrative of those end-uses within CRU
- Aim to build CRU’s credentials in the understanding of key end-use sectors that drive metals demand
About you – What skills and experience are we looking for?
- An analytical mind-set and able to get to grips quickly with the intricacies and complexities of the economics and data that drive our outputs
- A positive and collaborative attitude, and a genuine interest in end-use sectors that drive metals demand
- Desire to deliver value to our clients and creating value for shareholders
- Enthusiastic regarding delivering the highest quality projects to every client; Responsive to client needs yet still commercially minded
- Cognisant of the importance of sharing knowledge and ideas in a constructive and supportive way
- Comfortable speaking to clients about end-use markets, legislation that influences these markets, particularly with regards to green policies
- Delivery focused and a passion for quality and innovation, with a flexible and adaptable attitude and willingness to apply new ways of thinking
- Familiar with economic models e.g. Oxford Economics Global model
- Good at handling large data sets