Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Philadelphia, PA
Actively hiring, first seen by us 11 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
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.
Build and maintain Power BI dashboards with commercial insights
Apply statistics, predictive modelling and machine learning to pricing questions
Analyse large, complex datasets with Python and SQL
Clean and match end-customer data, including deduplication
Translate findings into insights for pricing, sales and marketing teams
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.
Develop and maintain Power BI dashboards and other analytical solutions that provide clear, actionable commercial insights
Apply statistical techniques, predictive modelling, and machine learning approaches to pricing and commercial business questions
Work with large and complex datasets using tools such as Python and SQL, transforming fragmented information into reliable analytical outputs
Support the collection, structuring, reconciliation, and analysis of end-customer data, including data-quality, deduplication, and matching activities
translate analytical findings into useful insights
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.
Ability to manage multiple priorities, deadlines and work collaboratively in a cross-functional environment.
Actively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Day 11
Similar jobs usually come down between day 5 and day 41.
From 10,536 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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.
- 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.
- 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.
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.
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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.
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.
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
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 EssityHRNorthAmerica@essity.com
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.
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Philadelphia, PA
Working pattern and location restrictions need checking in the full posting.
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 EssityHRNorthAmerica@essity.com