Commercial Analyst - Advanced Analytics , Experienced Professional 3 platser 3 platser Sales

Essity; Wisconsin; Hybrid; USD 85,000 - 120,000; Full time

Job summary

Essity is seeking a Commercial Analyst – Advanced Analytics to strengthen data-driven decisions across North America. You will combine BI, data preparation, and analytics to turn complex commercial questions into clear insights and drive business impact.

You will work with pricing, sales, and product marketing to develop analytics that deepen understanding of customer performance, profitability, and data quality.

Qualifications

• Degree in a quantitative field such as CS, data science, statistics.
• Minimum 2 years of analytics, BI, ML, or AI experience with practical projects.
• Experience building dashboards with Power BI or Tableau; SQL and Python skills preferred.
• Ability to translate business questions into analytical solutions and present findings clearly.
• Collaborative mindset with ability to manage multiple priorities.

Responsibilities

• Develop and maintain Power BI dashboards and analytical solutions.
• Apply statistical methods, predictive modeling, and ML to pricing problems.
• Analyze large datasets using Python and SQL to deliver outputs.
• Work with pricing, sales, and product marketing to translate insights.
• Support data quality, reconciliation, and data engineering efforts.

Skills

Power BI

Tableau

SQL

Python

Databricks

Machine Learning

Cross-functional teamwork

Education

Bachelor's degree in Computer Science or related quantitative field

Tools

Databricks

SQL

Job description

Turn complex data into insights that shape commercial decisions. Want to combine advanced analytics with real business impact? Ready to explore smarter ways of working with data and AI? Join Essity and help us innovate for good.

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.

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.

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.