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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
Essity is a leading global hygiene and healthcare company. We are committed to improving the quality of life through high-quality hygiene and healthcare solutions. We sell our products and solutions in around 150 countries under many strong brands, including the global market leaders TENA and Tork, as well as well‑known brands such as Jobst, Leukoplast, Libero, Libresse, Lotus, Nosotras, Saba, Tempo, Vinda and Zewa.
For our Pricing and Commercial Analytics department, we are seeking an Analyst with experience in advanced analytics to support our team in understanding business challenges and applying analytical solutions. The role will primarily focus on developing and deploying statistical and predictive models to support business decision‑making. Experience with Databricks, Machine Learning, and AI is highly desirable.
Even if not all of the following points apply to you, we would be happy to get to know you and talk about the possibility of working with you!
The benefits listed refer to the primary location. If you want to start at another location, these may vary. This also applies to a non‑tariff position.
At Essity our Beliefs & Behaviours (Care, Collaboration, Courage and Commitment) is the foundation for our inclusive culture and as such something we are living on an everyday basis. With a purpose of Breaking Barriers to Well‑being diversity, equity & inclusion is established in our core.
We are committed against discrimination on the basis of color, ethnicity, migration history, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, caregiving responsibilities, disability, chronic illness, gender identity, gender expression, genetic information and other. We explicitly welcome applications from people who are structurally, institutionally, intersectionally discriminated.
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