Commercial Analyst - Advanced Analytics

About the role

As a Commercial Analyst – Advanced Analytics within our Pricing and Commercial Analytics team, you will help strengthen data-driven decision-making across our North American organization. You will combine business intelligence, data preparation, and advanced analytics to turn complex commercial questions and end-customer data into clear, actionable insights. Working closely with colleagues across pricing, sales, and product marketing, you will develop analytics that deepen our understanding of customer performance and profitability. This is an opportunity to contribute hands-on technical expertise while exploring new analytical approaches, including practical applications of AI. You will also play an important part in enhancing the quality and usability of end-customer data.

Responsibilities

• Business Intelligence: Develop and maintain Power BI dashboards and other analytical solutions that provide clear, actionable commercial insights.
• Advanced Analytics: Apply statistical techniques, predictive modelling, and machine learning approaches to pricing and commercial business questions.
• Data Analysis: Work with large and complex datasets using tools such as Python and SQL, transforming fragmented information into reliable analytical outputs.
• Data Quality: Support the collection, structuring, reconciliation, and analysis of end-customer data, including data-quality, deduplication, and matching activities.
• Analytics Technology: Use platforms such as Databricks to support data engineering and advanced analytics workloads, while exploring practical applications for AI.
• Stakeholder Partnership: Collaborate with pricing, sales, and product marketing colleagues to understand business needs and translate analytical findings into useful insights.
• Continuous Improvement: Challenge existing analytical approaches and identify opportunities to improve tools, processes, automation, and ways of working.

Requirements

• Degree in Computer Science, Data Science, Statistics, Mathematics, or another relevant analytical discipline.
• At least 2 years of relevant experience in analytics, business intelligence, machine learning, AI, or a related area, with evidence of practical analytical work.
• Hands-on experience developing dashboards or analytical products using Power BI, Tableau, or a comparable BI platform.
• Experience with SQL and Python is preferred.
• Exposure to Databricks, machine learning, or applied AI would be an advantage.
• Ability to translate business questions into analytical solutions, communicate technical concepts clearly, collaborate effectively across functions, and bring a curious, data-driven approach to solving problems and improving existing methods.
• Ability to manage multiple priorities, deadlines and work collaboratively in a cross-functional environment.

Benefits

Our purpose, Breaking Barriers to Well-being, provides meaning to everything we do. Join us to improve well-being for people and drive positive change for society and the environment. At Essity, you'll feel valued, empowered to grow, and challenged to achieve business results in a collaborative and open atmosphere. Innovate for Good | Excel Together | Be You with Us

The ideal candidate should be located in the Philadelphia, PA or the Neenah, Menasha, Appleton, WI area. Job Requisition ID: Essity265946