Commercial Insights Analyst (d/f/m) - Advanced Analytics

Posted 3 Days Ago
Be an Early Applicant
5 Locations
In-Office
Mid level
Healthtech • Manufacturing
The Role
Develop statistical, machine learning, and predictive models to solve commercial and pricing business problems. Analyze large datasets with Python and SQL, use Databricks for advanced analytics, build Power BI dashboards and automated reports, and support AI tool deployment. Create workflow automation using PowerShell, PowerApps, or VBA while collaborating cross-functionally to translate business challenges into analytical solutions.
Summary Generated by Built In
Commercial Insights Analyst (d/f/m) - Advanced Analytics

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.

About the Role

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.

What you will do 
  • Apply statistical techniques and Machine Learning models to solve business problems

  • Analyze large datasets using Python and SQL

  • Work with Databricks for data engineering and advanced analytics workloads

  • Develop and maintain Power BI dashboards and automated reporting solutions

  • Support the development and deployment of analytical and AI tools to enhance data capabilities

  • Create automation solutions using PowerShell, PowerApps, and/or VBA

Who you are 

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!

  • Minimum 2-3 years of experience in Advanced Analytics, Machine Learning, AI, or a related field

  • Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Statistics, or a related discipline)

  • Strong knowledge of advanced modeling techniques, programming languages, and tools (e.g., Databricks, Python, Spark, and Machine Learning/AI models)

  • Proficiency in Excel and familiarity with BI tools (e.g., Power BI and Tableau), SAP, CRM systems, and SQL

  • Good communications skills and experience in translating business problems into analytical solutions

  • Strong ability to manage multiple priorities and deadlines while collaborating effectively in a cross-functional environment

What we can offer 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. 

  • Compensation & Benefits 
    Compensation according to the Bavarian paper tariff, yearly special payment, holiday allowance and bonus, pension schemes, anniversary bonus, childcare allowance, Corporate Benefits & other employee benefits 

  • Work-Life-Balance 
    Hybrid working model, flexible working hours, 38h week, 30 days of vacation, lifetime working time account 

  • Learning & Development 
    Structured onboarding, training opportunities such as digital learning platform, coaching & mentoring as possible part of individual development plan, participation in professional conferences and fairs 

  • Health & Well-being 
    Discounted fitness membership, Lease-a-bike, health and well-being month, mindfulness courses, "PME Familienservice", employee surveys 

  • Team & Collaboration 
    People culture, communities & networks, co-working spaces, leadership guidelines, canteen 

  • Mobility 
    Public transport allowance, bicycle parking, free car parking, e-charging stations 

This is Us

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.

#Essity-DE

Application End Date:Job Requisition ID:Essity264771

Skills Required

  • Minimum 2-3 years of experience in Advanced Analytics, Machine Learning, AI, or a related field
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related discipline
  • Strong knowledge of advanced modeling techniques, programming languages, Databricks, Python, Spark, and Machine Learning or AI models
  • Proficiency in Excel and familiarity with Power BI, Tableau, SAP, CRM systems, and SQL
  • Strong communication skills and ability to translate business problems into analytical solutions
  • Ability to manage multiple priorities and deadlines while collaborating in a cross-functional environment
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The Company
HQ: Stockholm
17,013 Employees
Year Founded: 2017

What We Do

Essity - a globally leading hygiene and health company, breaking barriers to well-being. Our expertise in hygiene and health began with the acquisition of the Swedish company Mölnlycke in 1975, through which our roots stretch back to 1849. Today, our sustainable innovations from globally trusted brands, designed for everybody and every body, care for the well-being of 1 billion people in 150 countries every day. Working at Essity is not just a career but a chance to make the world healthier, safer, and more hygienic. Our barrier breakers innovate for good and contribute to shaping a sustainable future. At Essity, every career is as unique as the individual. We empower employees to excel together and reach their full potential in a winning culture motivated by a powerful purpose. We provide a sustainable work-life based on flexibility for both employees and employers. At Essity, we are committed to Diversity, Equity, and Inclusion in everything we do. It is the key to our success in creating an inclusive, collaborative, and caring company culture where you can be you with us. Our purpose of Breaking Barriers to Well-being, is to enable customers and consumers to lead fuller lives at all stages of life. Our leading global brands include TENA, Tork, Actimove, JOBST, Knix, Leukoplast, Libero, Libresse, Lotus, Modibodi, Nosotras, Saba, Tempo, TOM Organic, Vinda and Zewa. Essity has about 36,000 employees. Net sales in 2022 amounted to approximately SEK 156bn (EUR 15bn). The company’s headquarters is located in Stockholm, Sweden, and Essity is listed on Nasdaq Stockholm. If you want to join a company where dedication to people is powered by innovation, welcome to Essity

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