Senior Principal Analyst (m/f/d) - Plastics Recycling, EMEA

Germany - Frankfurt (Baseler Platz)

LexisNexis Risk Solutions

LexisNexis Risk Solutions uses Big Data, proprietary linking and targeted solutions to provide insights that help make organizations more secure and efficient.

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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 below. https://www.icis.com/explore

Key Responsibilities:

  • Collates, models, interprets and analyses data; explains variances and trends in the plastics recycling sector.

  • Develop deep understanding of recycling market drivers and contribute to the production of written analysis explaining and predicting market developments.

  • Apply market understanding to developing long-term forecasts for supply, demand and pricing.

  • Fundamental data research relevant to the plastics recycling value chain.

  • Effective maintenance and regular updating of key data sets.

  • Idea generation for expansion in this sector.

  • Identify enhancements to data generation, analysis and modelling.

  • Engage with the industry and clients through event/conference attendance, client engagement and other marketing activities.

  • External presentation of the team’s analysis and representation of ICIS at related events.

  • Broaden and add further detail to our coverage of our plastic recycling data sets.

Requirements:

  • 5+ years of experience in data analytics or business intelligence, with a proven track record of delivering business impact.

  • Expert-level SQL and strong skills in Python, R, or similar.

  • Proficient in data visualization tools (e.g., Tableau, Power BI, Looker).

  • Experience working with large, complex datasets (structured and unstructured).

  • Solid understanding of statistics, experimentation, and predictive modeling.

  • Strong business acumen and communication skills — able to translate data into strategy.

  • Bachelor's or Master’s degree in a quantitative field Sustainability related discipline, chemical engineering, business studies, Environmental Economics & Policy, PhD is a plus.

Work in a way that works for you:

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups. 

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. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Business Intelligence Data Analytics Data visualization Economics Engineering Looker PhD Power BI Predictive modeling Privacy Python R Research SQL Statistics Tableau

Perks/benefits: Flex hours Parental leave Team events

Region: Europe
Countries: Germany Switzerland

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