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

essity; München; Hybrid; EUR 52.000 - 76.000; Vollzeit

Benefits dieser Stelle

Hybrid working model

Annual bonus

Pension schemes

Corporate Benefits

Zusammenfassung

Essity is seeking a Commercial Insights Analyst to develop and deploy statistical and predictive models that inform business decisions in pricing and analytics. You will analyze large datasets with Python and SQL, leverage Databricks for data engineering, and create automated dashboards in Power BI to support strategic initiatives.

The role requires 2-3 years in analytics, a degree in CS/DS/Statistics, and strong programming skills. A hybrid work model and access to various benefits are offered.

Qualifikationen

• 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.

Aufgaben

• 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

Kenntnisse

Advanced Analytics

Machine Learning

SQL

Python

Data interpretation

Cross-functional collaboration

Communication

Ausbildung

Bachelor's degree in Computer Science/Data Science/Statistics

Tools

Databricks

Spark

Power BI

Tableau

Excel

CRM systems

Jobbeschreibung

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.