Global Chemicals Market Intelligence Analyst

S&P Global

Paris

Sur place

EUR 70 000 - 105 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Health & Wellness benefits
Flexible downtime
Continuous learning
Career development support
Global collaboration opportunities

Résumé du poste

S&P Global Energy is seeking an analyst to bolster the Chemical Research & Analytics team. The role will deliver market intelligence and commodity insights for methanol and derivatives, develop data-driven models, and produce CEH reports for clients globally.

Ideal candidates have up to five years in commodity markets, a numerate degree, and advanced Excel with familiarity in Power BI/Tableau, SQL or Python. London-based, hybrid collaboration encouraged.

Qualifications

  • Data-heavy role requiring strong ability to manipulate and present data
  • Expert-level Excel; working knowledge of BI tools (Power BI/Tableau) and SQL/Python is a plus
  • Background in chemical industries or markets is desirable

Responsabilités

  • Perform modelling and analysis to develop and improve analytical models
  • Research chemical industry topics, sources, and data to extract insights
  • Support SMEs in maintaining supply/demand balances, trade flows, and price forecasts
  • Write industry reports linked to the industry value chain covered
  • Author Chemical Economics Handbook reports using market knowledge and collaboration with internal experts
  • Prepare client-ready presentations and respond to data requests from clients
  • Collaborate with teams to ensure timely and accurate information publication

Connaissances

Excel advanced
Power BI
SQL
Python
Data visualization

Formation

Degree in Chemical Engineering, Chemistry, Economics, Finance, Business, or related numerate discipline

Outils

Power BI
Tableau

Description du poste

S&P Global Energy is seeking an analyst to bolster the Chemical Research & Analytics team. The role will deliver market intelligence and commodity insights for methanol and derivatives, develop data-driven models, and produce CEH reports for clients globally.

Ideal candidates have up to five years in commodity markets, a numerate degree, and advanced Excel with familiarity in Power BI/Tableau, SQL or Python. London-based, hybrid collaboration encouraged.

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