Planning Analytics & Automation Analyst (15-mo Contract)

Beiersdorf; Województwo wielkopolskie; On-site; PLN 120,000 - 180,000; Full time

Job summary

Beiersdorf Poland is seeking a Business Planning Analyst to join the Planning Center of Excellence on a 15-month contract. The role focuses on digital transformation, reporting excellence, and process automation across planning, collaborating with Supply Chain, Finance, IT, and business stakeholders to deliver innovative reporting solutions.

You will build dashboards, automate processes, and support data-driven decision making, contributing to improved planning performance and efficiency across

Qualifications

• Bachelor's or master's degree in a relevant field (Supply Chain, Finance, Analytics, IT, or similar).
• 2 years of relevant experience preferred; junior profiles considered with right skills.
• Practical knowledge of Microsoft Excel.
• Basic to intermediate Power BI and Power Query experience; willingness to develop further.

Responsibilities

• Design, develop, test, and deploy reporting solutions using modern analytics tools.
• Create and maintain dashboards, KPIs, and management reports for end-to-end planning.
• Analyze requirements and translate into scalable reporting solutions.
• Ensure data accuracy and reliability across platforms.
• Support planning teams with ad-hoc analyses and insights.
• Identify automation opportunities and drive process improvements.

Skills

Analytical thinking

Data analytics

Power BI

Power Query

Excel

Stakeholder management

Communication

Education

Bachelor's or Master's degree

Tools

Power BI

Power Query

Excel

SQL

Python

VBA

SAP

Job description

Beiersdorf Poland is seeking a Business Planning Analyst to join the Planning Center of Excellence on a 15-month contract. The role focuses on digital transformation, reporting excellence, and process automation across planning, collaborating with Supply Chain, Finance, IT, and business stakeholders to deliver innovative reporting solutions.

You will build dashboards, automate processes, and support data-driven decision making, contributing to improved planning performance and efficiency across