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Essity

Commercial Analyst – Advanced Analytics

Essity

. Develop and maintain Power BI dashboards and other analytical solutions providing actionable commercial insights .

Posted 10/23/2026full-timeUnited StatesJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining Power BI dashboards and analytical solutions, applying statistical techniques and machine learning to derive actionable insights from complex datasets. Proficient in SQL and Python for data analysis and engineering, with a strong ability to collaborate across functions and communicate technical concepts effectively.

Highest-signal resume keywords
Power BI Dashboard DevelopmentStatistical TechniquesMachine LearningSQL ExperiencePython Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisPredictive ModellingData Quality ManagementData DeduplicationAnalytical Solutions Development
Soft Skills
Effective CommunicationCollaborationPrioritizationCross-Functional Teamwork
Tools & Technologies
Power BIDatabricksTableauAI Applications
Industry Keywords
Business IntelligenceAnalyticsCommercial InsightsData Engineering

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Develop and maintain Power BI dashboards and other analytical solutions providing actionable commercial insights
  • Apply statistical techniques, predictive modelling, and machine learning to pricing and commercial business questions
  • Analyze large and complex datasets using Python and SQL
  • Transform fragmented information into reliable analytical outputs
  • Support collection, structuring, reconciliation, and analysis of end-customer data
  • Perform data-quality, deduplication, and matching activities
  • Use Databricks for data engineering and advanced analytics workloads
  • Explore practical applications for AI
  • Collaborate with pricing, sales, and product marketing colleagues
  • Translate analytical findings into useful insights
  • Improve analytical tools, processes, automation, and ways of working

Requirements

What you’ll need
  • 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
  • Evidence of practical analytical work
  • Hands-on experience developing dashboards or analytical products using Power BI, Tableau, or a comparable BI platform
  • SQL and Python experience preferred
  • Exposure to Databricks, machine learning, or applied AI advantageous
  • Ability to translate business questions into analytical solutions
  • Ability to communicate technical concepts clearly
  • Ability to collaborate effectively across functions
  • Ability to manage multiple priorities and deadlines
  • Ability to work collaboratively in a cross-functional environment

Benefits

Comp & perks
  • Collaborative and open atmosphere
  • Opportunities to grow and be challenged to achieve business results
  • Meaningful work improving well-being for people and driving positive change for society and the environment
  • Equal employment opportunity
  • Reasonable accommodations for qualified candidates and employees
  • Diversity and inclusion commitment