Sr. Specialist - Finance Operations FP&A

Purpose & Overall Relevance for the Organization:

We are looking for a technically strong individual to join our Future Capabilities team, driving innovation across adidas’ Financial Planning & Analysis (FP&A) landscape. The role focuses on automating processes, developing analytical models, and building scalable solutions using tools like Python, SQL, VBA, and Machine Learning frameworks. This is a technology-first role aimed at modernizing how finance operates globally.

Key Responsibilities:

• Design and implement process automation using Python, VBA, and SQL to reduce manual workload across FP&A.
• Develop machine learning models and algorithms to enhance forecasting, pattern recognition, and scenario simulation.
• Build and maintain interactive dashboards using Power BI, SAP Analytics Cloud, or similar BI platforms.
• Analyze large and complex datasets to identify trends and actionable insights for functional teams.
• Engage with cross-functional teams to understand business needs and translate them into technical solutions.
• Create scripts and utilities for recurring reporting, reconciliation, and data transformation.
• Continuously evaluate and improve existing tools, workflows, and data pipelines for efficiency and scalability.
• Drive technical innovation initiatives, POCs, and contribute to a digital-first culture.

Key Relationships:

• GBS Finance team
• adidas Finance Team
• adidas Market Controllers
• Business transformation team (TRANS4RM project)
• Accounting
• HR

Key Skills & Technologies:

• Must-Have Technical Skills:
  • Strong command of Python (e.g., pandas, numpy, scikit-learn)
  • Advanced proficiency in SQL and VBA scripting
  • Experience in machine learning frameworks (e.g., scikit-learn, TensorFlow)
  • Hands-on with Power BI, SAP Analytics Cloud, or equivalent BI tools
  • Exposure to SAP systems (FI/CO or BW/4HANA)
  • Familiarity with cloud-based platforms like Databricks
  • Experience in Project management and in facilitating workshops
  • Multicultural awareness and open minded to work in diverse business environments

• Soft Skills:
  • Strong problem-solving and analytical thinking
  • Self-driven, curious, and passionate about automation and technology
  • Effective communication and documentation skills

Education & Experience:

• Bachelor’s or master’s degree in computer science, Data Science, Engineering, Commerce, or related fields
• 3–6 years of hands-on experience in technical roles involving analytics, scripting, or automation
• Experience in finance/controlling environments is a plus but not mandatory