Description:
Chemical Market Analytics by OPIS, a Dow Jones company, enables partners in the global chemical industry to improve operational efficiency with deep insights, future outlooks, price discovery and consultation from a celebrated team of subject matter experts. We offer short- and long-term market coverage for more than 200 core building-block chemicals with a full suite of advisory services and top-tier events held around the globe. The worldwide chemical industry looks to Chemical Market Analytics to guide decisions and help manage risk across the entire value chain.
You Will
- Collection and organization of chemical research, insights, analysis and data that is utilized in bespoke research projects
- Lead the preparation of models, data sets and analytics for activities covering several bespoke research projects
- Support proposal preparation for client requested bespoke research projects
- Support the bespoke research VP and directors in producing the reports, presentations, and other deliverables for clients bespoke research projects
- Leverage intra-company expertise and content to support deliverables.
- Attend industry events as requested to promote CMA business initiatives
- Travel to support projects. Approximately 5% of the time.
You Have
- Degree in chemical engineering or chemistry. Bachelor's degree in Business, Finance/Accounting, Information Systems Management, Data Science or relevant discipline will also be considered.
- Excellent English communication skills (Verbal and Written).
- 5+ years' relevant experience.
- Knowledge of the energy and chemical value chains and a ability to quickly gain an applied understanding of market dynamics.
- Strong analytical and interpersonal skills.
- Ability to clearly communicate complex content.
- Advanced skills in Excel, PowerPoint and the use of analytical tools such as databases, spreadsheets (can perform complex functions) , process documenting and business intelligence applications.
- Experience of data visualization applications, data analysis and data modeling.