Commercial Insights Analyst (d/f/m) - Advanced Analytics
Indexed description
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
- 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
- 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
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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Application End Date:
Job Requisition ID:
Essity264771
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