Senior Power BI Analyst - Supply Chain & Manufacturing

Our requirements

• Minimum 4 years of experience in Business Intelligence, Analytics or Data Analysis roles.
• Experience supporting Manufacturing, Supply Chain or Operations functions.
• Advanced Power BI skills, including data modelling, DAX and visualization development.
• Strong SQL skills and experience working with large datasets.
• Experience using Python and enterprise data platforms such as SAP or Snowflake.
• Strong stakeholder management skills with the ability to work independently and prioritize competing business needs.

Optional

• Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Engineering, Supply Chain, Operations Management or a related field.
• Experience in a manufacturing environment.
• Knowledge of SAP, IBP, Microsoft Fabric or KNIME.
• Experience designing executive-level dashboards and KPI frameworks.
• Experience driving process improvement through data and analytics.

Your responsibilities

• DATA ENGINEERING & ANALYTICS
• Collects, transforms and optimizes large-scale datasets from Supply Chain, Manufacturing and Operational systems.
• Develops scalable data models and analytical solutions using SQL, Python and modern enterprise data platforms.
• Identifies trends, bottlenecks and optimization opportunities within supply chain and manufacturing processes.
• POWER BI DEVELOPMENT & VISUALIZATION
• Designs, develops and maintains advanced Power BI dashboards and reporting solutions for operational and leadership audiences.
• Creates robust data models, advanced DAX calculations and performance-optimized reporting solutions.
• Establishes reporting standards, KPI frameworks and dashboard governance to ensure consistency across business functions.
• Designs user-friendly visualizations and mobile-ready reports that support effective decision-making.
• STAKEHOLDER MANAGEMENT
• Partners with Supply Chain, Manufacturing and Business Leadership teams to understand reporting requirements and business priorities.
• Provides recommendations and insights that support operational performance improvements.
• Effectively manages multiple stakeholder requests while independently prioritizing workload and project deliverables.
• DATA GOVERNANCE & QUALITY
• Ensures data integrity, consistency and governance standards across reporting and analytical solutions.
• Supports best practices in data management, documentation and reporting architecture.
• BUSINESS PERFORMANCE IMPROVEMENT
• Uses analytics to identify opportunities for process optimization, inventory management improvements and operational efficiency gains.
• Supports strategic initiatives by delivering meaningful insights and executive-level storytelling through data.
• COLLABORATION
• Collaborates with Digital Technology, Data Engineering and Business teams to ensure reliable data pipelines and reporting solutions.
• Supports the adoption of analytics-driven decision making across Manufacturing and Supply Chain functions.

About the project

Division of working time

• 60%

  Remote work
• 40%

  In-office work

What we offer

• Work in an international environment
• Life insurance
• Private healthcare
• My Benefits System
• Option to join the Employee Pension Plan (PPE)
• Meal voucher

Development opportunities we offer

• intracompany training
• technical knowledge exchange within the company

Benefits

• sharing the costs of sports activities
• private medical care
• life insurance
• dental care
• retirement pension plan
• coffee / tea
• parking space for employees
• leisure zone
• extra social benefits
• holiday funds
• christmas gifts
• charity initiatives
• family picnics
• lunch Card
• working in the international environment

Recruitment stages

• 1.
  Interview with TA Specialist
• 2.
  Interview with Hiring Manager and Business Leadership

Cargill Poland Sp. z o.o.