RELX Group

About Us:

ICIS is the global source of Independent Commodity Intelligence Services. We connect data, markets and customers to create a comprehensive, trusted view of the global commodities markets, enabling smarter business decisions that optimize the world’s resources. At ICIS, we help businesses make strategic decisions, mitigate risk, improve productivity, and capitalize on new opportunities. We make some of the world’s most important markets more trusted and predictable through our services. Our success is based on the strategic value we bring to our customers and customer experience is vital to build long-term relationships and profitability, creating a differentiated brand and credibility in the market. Ensuring customers maximize value at the point of use and can easily access information, to drive decisions is critical to our strategy and business objectives.

Key Responsibilities:

• Lead end-to-end analytics projects from scoping to delivery, providing actionable insights to business leaders.
• Serve as a strategic thought partner to cross-functional teams (Product, Marketing, Finance, etc.), helping them leverage data to inform decisions.
• Build advanced dashboards, visualizations, and predictive models to identify patterns and opportunities.
• Design and oversee the implementation of scalable analytics frameworks and best practices.
• Act as a technical mentor and peer reviewer to junior and senior analysts alike.
• Translate complex data findings into compelling narratives and strategic recommendations.
• Partner with data engineering and data science teams to ensure high data quality and efficient pipelines.
• Continuously assess and improve analytical tools, processes, and methodologies.

Requirements:

• 8+ 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 (e.g., Mathematics, Statistics, Computer Science, Economics). PhD is a plus.

Preferred Qualifications:

• Experience in a fast-paced, high-growth environment.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and modern data stacks (e.g., dbt, Snowflake).
• Leadership experience, including mentoring or managing analysts.

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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