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Petrochemical Analyst, ICIS (Hybrid)

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London

Hybrid

GBP 30,000 - 50,000

Full time

3 days ago

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Job summary

A leading company in the commodities market is seeking a Petrochemical Analyst for a hybrid role based in London. The position involves analyzing price forecasts, engaging with clients, and supporting industry insights. Ideal candidates will possess strong analytical skills and a relevant Bachelor's degree, along with familiarity in data science tools.

Qualifications

Strong data analysis skills to interpret findings.
Excellent storytelling skills for presenting information.
Experience with commodity markets and proactive problem-solving.

Responsibilities

Produce short-term price forecasts for commodities.
Develop supply and demand insights and analysis.
Engage with clients to enhance market understanding.

Skills

Data analysis

Relationship building

Problem-solving

Education

Bachelor's degree in a relevant field (science, engineering, economics)

Tools

Python

SQL

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About The Business

At ICIS, our mission is to optimize the world's resources. We help companies make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts, a dedicated news channel and supply and demand data. You can learn more about ICIS at the link at: https://www.icis.com/explore.

About The Team

The Chemical Analytics team at ICIS comprises over 50 employees located across various offices and regions. Team members will have expertise in certain value chains (eg olefins, aromatics, polyolefins, vinyls etc). There is a wide spread of experiences amongst the team with backgrounds including research, engineering and economics. Analysts work closely with colleagues in other functions, regions and time zones. The open position will be based in Europe, preferably in our London headquarters. The role will involve coming to the office on a hybrid basis (two days per week minimum) to work and connect with colleagues in person. The role will also involve regular interactions with colleagues and clients in different regions and time zones.

Responsibilities

Price forecast and market analysis:

Produce regular short term price forecasts for assigned commodities and regions
Collect and analyse latest news and developments, support colleagues in content team
Liaise with industry contacts and clients to understand their needs and latest developments

Supply and demand analysis:

Contribute to the ICIS Supply and Demand Database for assigned commodities and regions
Produce timely insight and analysis for industry developments related to investments and unit closures, production and demand outlooks, and trade developments
Develop and leverage expertise in key derivative and demand segments
Work with upstream colleagues to understand, support and develop long term supply-side driven trends

Client engagement:

Support and drive client engagement activities, build and develop market contacts to better understand commodity markets and improve product offerings and analysis
Attend conferences and networking events, speaking at events/webinars where appropriate
Support sales activities

Develop analytics models:

Support model developments and enhancements, including production data, demand modelling, end-use analysis, cost of production and price forecast models, short term supply demand development, recycling models
Will include working with both content and data science teams

Requirements

Strong data analysis skills with the ability to interpret and communicate findings effectively.
Excellent storytelling abilities to present complex information in an engaging manner.
A bachelors degree (or equivalent) in a relevant field, preferably science, engineering, or economics.
Experience working with commodity markets in a technical, commercial or research role would be advantageous; proactive problem-solving skills are essential.
Comfortable engaging with others to build and maintain professional relationships.
Familiarity with data science tools (Python, SQL) and experience working with large datasets is a plus.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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