Commercial Insights Analyst — Advanced Analytics & AI

Essity; Zeist; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Compensation & Benefits

Hybrid working model

Learning & Development

Health & Well-being

Team & Collaboration

Mobility benefits

Job summary

Essity is seeking a Commercial Insights Analyst to join its Pricing and Commercial Analytics team. You will develop and deploy statistical and predictive models to support business decisions, with a focus on leveraging advanced analytics, ML, and AI.

You'll analyze large datasets using Python and SQL, work with Databricks for data engineering, and create Power BI dashboards and automated reporting. Collaboration across functions is essential as you translate business problems into analytical

Qualifications

• Experience with advanced analytics, ML/AI, or related field.
• Strong ability to translate business problems into analytical solutions.
• Experience with BI tools and data visualization.

Responsibilities

• Apply statistical techniques and ML models to business problems
• Analyze large datasets using Python and SQL
• Work with Databricks for data engineering and analytics workloads
• Develop and maintain Power BI dashboards and automated reporting
• Support deployment of analytical and AI tools to enhance data capabilities
• Create automation solutions using PowerShell, PowerApps, and/or VBA

Skills

Advanced analytics

Machine Learning / AI

Cross-functional collaboration

Tools

Databricks

Python

SQL

Power BI

Tableau

Excel

SAP

CRM systems

Job description

Essity is seeking a Commercial Insights Analyst to join its Pricing and Commercial Analytics team. You will develop and deploy statistical and predictive models to support business decisions, with a focus on leveraging advanced analytics, ML, and AI.

You'll analyze large datasets using Python and SQL, work with Databricks for data engineering, and create Power BI dashboards and automated reporting. Collaboration across functions is essential as you translate business problems into analytical