Commercial Insights Analyst (d/f/m) - Advanced Analytics
Munich, Germany
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- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingFor 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.
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
From the employer’s posting
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.
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
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
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
What you’ll bring
All qualificationsCore experience
- 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
- Strong ability to manage multiple priorities and deadlines while collaborating effectively in a cross-functional environment
Qualification wording
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
Strong ability to manage multiple priorities and deadlines while collaborating effectively in a cross-functional environment
Tools in this posting
- Python
- Databricks
- Excel
- Spark
- Tableau
- SQL
- Power BI
- SAP
Source — Tool mentions in context
- 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
- 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
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
- 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
- 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
- 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
Job description
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 RoleFor 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 doApply 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
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
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 benefitsWork-Life-Balance
Hybrid working model, flexible working hours, 38h week, 30 days of vacation, lifetime working time accountLearning & Development
Structured onboarding, training opportunities such as digital learning platform, coaching & mentoring as possible part of individual development plan, participation in professional conferences and fairsHealth & Well-being
Discounted fitness membership, Lease-a-bike, health and well-being month, mindfulness courses, "PME Familienservice", employee surveysTeam & Collaboration
People culture, communities & networks, co-working spaces, leadership guidelines, canteenMobility
Public transport allowance, bicycle parking, free car parking, e-charging stations
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
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Munich, Germany
- 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
- Work authorization
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
- Status in our records
- Unknown — awaiting fresh evidence
- First seen by us
- Sep 2, 2026
- Recorded sightings
- 9
- Last seen by us
- Sep 7, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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