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

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

Education & Experience:
•    Bachelor’s or master’s degree in computer science, Data Science, Engineering, Commerce, or related fields
•    6 -10 years of hands-on experience in technical roles involving analytics, scripting, or automation
•    Experience in finance/controlling environments is a plus but not mandatory