Regional Business Analyst - Supply Chain
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Key skills for this role
About the Role
Beiersdorf is seeking a Regional Business Analyst for Supply Chain to provide analytical BI tools, generate ad-hoc data overviews, and support business decisions. The role requires 4-5 years experience in data analytics or supply chain planning analytics, and proficiency in BI tools like Power BI or Tableau.
Key Skills for This Role
Responsibilities
- Provide finetuned analytical BI tools to the region, adjusting global governed self service data and combining with local data and structures
- Generate ad hoc data overviews supporting business decisions (e.g., assortment complexity, LOM, inventory analysis)
- Multiply learnings within regional & local team by supporting data & analytics requests
- Data processing, analysis and visualization; potential evaluation for use cases (savings, workload reduction, etc); providing data based recommendation
- Roll out global good practices/learnings/solutions and foster local and regional solutions for global leverage
- Identify and groom further analytic use cases in the region; shape use cases into MVP approach
- Shape and finetune decision automation rules and algorithms
Requirements
- Bachelor’s or Master’s degree in Supply Chain Management, Business Analytics, Engineering, Data Science, or related discipline
- 4 5 years experience in data analytics, business intelligence, or supply chain planning analytics
- Experience working with large datasets and structured business data
- Hands on experience with data visualization and BI tools such as Power BI, Tableau, or similar platforms
- Strong analytical mindset, structured thinking, and problem solving skills
- Ability to translate complex data into actionable business insights
- Ability to work effectively in an international and cross functional environment
Full Job Posting
Your Tasks
- Provide finetuned analytical BI tools to the region, adjusting global governed self service data and combining with local data and structures.
- Regularly use the expert knowhow of the various available datasets to generate ad hoc data overviews supporting business decisions (e.g., assortment complexity, LOM, inventory analysis).
- Multiply learnings within regional & local team by supporting in data & analytics requests.
- Data processing, analysis and visualization; potential evaluation for use cases (savings, workload reduction, etc); providing data based recommendation.
- Rolling out global good practices/learnings/solutions and foster local and regional solutions for global leverage.
- Identify and groom further analytic use cases in the region; Shape use cases into MVP approach, collaborate with the Global Planning Analysts for a high level design and estimate and bring into qualified backlog.
- Shaping and finetuning Decision automation rules and algorithms.
Your Profile
- Bachelor’s or Master’s degree in Supply Chain Management, Business Analytics, Engineering, Data Science, or a related discipline.
- 4 5 yrs experience in data analytics, business intelligence, or supply chain planning analytics.
- Experience working with large datasets and structured business data.
- Experience with planning data and supply chain datasets would be an advantage.
- Hands on experience with data visualization and BI tools such as Power BI, Tableau, or similar platforms.
- Strong analytical mindset, structured thinking, and problem solving skills.
- Ability to translate complex data into actionable business insights.
- Knowledge of supply chain planning processes is a plus.
- Ability to work effectively in an international and cross functional environment.
- Strong communication, collaboration, and proactive working style.
About Beiersdorf
- At Beiersdorf, we want to help people feel good about their skin – and our commitment goes far beyond caring for skin.
- For 140 years, we have developed innovative skin and body care products for well known brands such as NIVEA, Eucerin, La Prairie, Hansaplast, and Labello.
- We act according to our purpose, WE CARE BEYOND SKIN, and take responsibility for our consumers, our employees, the environment and society.
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