Sr Specialist Finance BI & Automation

Purpose & Overall Relevance For The Organization
We are looking for a technically strong individual to join our Future Capabilities team, driving innovation across adidasFinancial 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 cultureKey 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 scriptingo Experience in machine learning frameworks (e-g, scikit-learn, TensorFlow)o Hands-on with Power BI, SAP Analytics Cloud, or equivalent BI toolso Exposure to SAP systems (FI/CO or BW/4HANA)o Familiarity with cloud-based platforms like Databrickso 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 thinkingo Self-driven, curious, and passionate about automation and technologyo Effective communication and documentation skills Education & Experience: Bachelors or masters 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 adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace We do not tolerate the harassment or discrimination toward any of our applicants or employees We are an equal opportunity employer, Show more Show less