Commercial Analyst - Advanced Analytics

Essity • Neenah, WI

7d

About The Position

As a Commercial Analyst – Advanced Analytics within Essity’s Pricing and Commercial Analytics team, the role strengthens data-driven decision-making across the North American organization. The analyst combines business intelligence, data preparation, and advanced analytics to turn complex commercial questions and end-customer data into clear, actionable insights. Working with colleagues in pricing, sales, and product marketing, the analyst develops analytics that deepen understanding of customer performance and profitability. The position involves hands-on technical work, exploring analytical approaches such as practical applications of AI, and improving the quality and usability of end-customer data. The ideal candidate should be located in the Philadelphia, Pennsylvania area or the Neenah, Menasha, or Appleton, Wisconsin area.

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.
• Ability to translate business questions into analytical solutions and communicate technical concepts clearly.
• Ability to collaborate effectively across functions and bring a curious, data-driven approach to solving problems and improving existing methods.
• Ability to manage multiple priorities and deadlines and work collaboratively in a cross-functional environment.

Nice To Haves

• Experience with SQL and Python is preferred.
• Exposure to Databricks, machine learning, or applied AI would be an advantage.

Responsibilities

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

Benefits

• Opportunity to contribute to improving well-being for people and driving positive change for society and the environment.
• Collaborative and open atmosphere in which employees are valued, empowered to grow, and challenged to achieve business results.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level