Hiring.Camp

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

Essity

·

Today

Location
Munich, Germany · Madrid, Spain · Mannheim, Germany · Warsaw, Poland · Zeist, Netherlands
Workplace
Hybrid
Type
Full-time
Department
Sales
Experience
2+ years
Education
Master
Source
Workday

Description

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

PythonSQLMachine LearningSparkDatabricksData ScienceData EngineeringExcelSAPTableauPower BI

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