Commercial Analytics & AI Specialist

Essity North America Inc.; Philadelphia (Philadelphia County); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Innovative analytics culture

Job summary

Essity North America Inc. is seeking a Commercial Analyst – Advanced Analytics to turn data into actionable insights shaping pricing and commercial decisions. You will build BI solutions and collaborate with pricing, sales, and product marketing to understand customer performance and profitability.

You will work with Power BI, SQL and Python, with exposure to Databricks, machine learning, and applied AI to improve analytics and data usability across the North American organization.

Qualifications

• Degree in Computer Science, Data Science, Statistics, Mathematics or similar.
• At least 2 years of analytics, BI, ML, AI experience with practical work.
• Hands-on dashboard development using Power BI, Tableau or similar BI platforms.

Responsibilities

• Develop and maintain Power BI dashboards and analytic solutions for commercial insights.
• Apply statistical methods, predictive modeling, and ML to pricing and business questions.
• Work with large datasets using Python and SQL to produce reliable outputs.
• Support data collection, quality, deduplication, and matching of end-customer data.
• Use platforms like Databricks to enable data engineering and analytics workloads.
• Partner with pricing, sales and product marketing to translate findings into actions.
• Continuously improve tools, processes, and automation.

Skills

Power BI

SQL

Python

Databricks

Machine Learning

AI

Education

Bachelor's in Computer Science/Data Science/Statistics

Tools

Tableau

Databricks

Job description

Essity North America Inc. is seeking a Commercial Analyst – Advanced Analytics to turn data into actionable insights shaping pricing and commercial decisions. You will build BI solutions and collaborate with pricing, sales, and product marketing to understand customer performance and profitability.

You will work with Power BI, SQL and Python, with exposure to Databricks, machine learning, and applied AI to improve analytics and data usability across the North American organization.