Commercial Analyst - Advanced Analytics

Commercial Analyst – Advanced Analytics

About the Role

What You Will Do

• 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.

Who You Are

• You have a degree in Computer Science, Data Science, Statistics, Mathematics, or another relevant analytical discipline.
• You bring at least 2 years of relevant experience in analytics, business intelligence, machine learning, AI, or a related area, with evidence of practical analytical work.
• You have hands-on experience developing dashboards or analytical products using Power BI, Tableau, or a comparable BI platform. Experience with SQL and Python is preferred, while exposure to Databricks, machine learning, or applied AI would be an advantage.
• You can 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.
• What We Can Offer You
• 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.
• Additional Information
• The Company is committed to equal employment opportunity and providing reasonable accommodations to qualified candidates and employees pursuant to applicable law. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, military and veteran status, gender identity or expression, genetic information, or any other characteristic protected by federal, state, or local law.
• If you require reasonable accommodation as part of the application process please contact [email protected]
• Together, we are improving lives, every day
• Working at Essity is not just a career; it is a chance to directly make the world a healthier, more hygienic and safer place. With impactful innovations coupled with sustainable solutions, we strive to reach more people every year with the necessary and essential solutions for well-being.
• Essity265946

What We Can Offer You

The ideal candidate should be located in the Philadelphia, PA or the Neenah, Menasha, Appleton, WI area.

Job Requisition ID:

Preferred Qualifications

• You have hands-on experience developing dashboards or analytical products using Power BI, Tableau, or a comparable BI platform. Experience with SQL and Python is preferred, while exposure to Databricks, machine learning, or applied AI would be an advantage.