Global Sugar Market Analyst – US Insights

Global Sugar Market Analyst – US Insights

Full-Time 31500 - 38500 Β£ / year (est.) No working from home possible
ASR Group

At a Glance

  • Tasks: Analyse and interpret US sugar market data to support strategic decisions.
  • Company: Join ASR Group, a leader in the global sugar market.
  • Benefits: Competitive salary, professional development, and a dynamic work environment.
  • Other info: Collaborate with a talented team in a fast-paced setting.
  • Why this job: Make an impact in the sugar industry with your analytical skills.
  • Qualifications: Strong numerical skills and knowledge of US trade policies required.

The predicted salary is between 31500 - 38500 Β£ per year.

ASR Group in London is seeking a Commodity Analyst to support the development of high-quality insight into the US sugar market.

You will collect, analyse and interpret market data to support commercial, trading and strategic decision-making, using Excel and Power BI to deliver dashboards and reports.

The role sits within ASR’s Global Market Analysis team based in London, reporting to the Director and VP.

  • Strong numerical skills and familiarity with US policy and trade structures are highly
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Global Sugar Market Analyst – US Insights employer: ASR Group

ASR Group is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the FMCG and food sector. Employees benefit from comprehensive growth opportunities, including professional development programmes and a supportive environment that encourages creativity and technical excellence. Located in Europe, ASR Group provides a unique chance to be at the forefront of product development, making a meaningful impact on the food industry while enjoying a balanced work-life experience.

ASR Group

Contact Details:

ASR Group Recruitment Team

We think you need these skills to ace Global Sugar Market Analyst – US Insights

Market Data Analysis
Excel
Power BI
Numerical Skills
US Policy Knowledge
Trade Structures Familiarity
Data Interpretation