Sr Specialist

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

AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE'S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE: THIS IS HOW WE WIN WHILE PLAYING FAIR.

COURAGE: Speak up when you see an opportunity; step up when you see a need..

OWNERSHIP: Pick up the ball. Be proactive, take responsibility and follow-through.

INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing things.

TEAMPLAY: Win together. Work collaboratively and cultivate a shared mindset.

INTEGRITY: Play by the rules. Hold yourself and others accountable to our company's standards.

RESPECT: Value all players. Display empathy, be inclusive and show dignity to all.

AT ADIDAS, WE STRONGLY BELIEVE THAT EMBEDDING DIVERSITY, EQUITY, AND INCLUSION (DEI) INTO OUR CULTURE AND TALENT PROCESSES GIVES OUR EMPLOYEES A SENSE OF BELONGING AND OUR BRAND A REAL COMPETITIVE ADVANTAGE.

– CULTURE STARTS WITH PEOPLE, IT STARTS WITH YOU –

BY RECRUITING TALENT AND DEVELOPING OUR PEOPLE TO REFLECT THE RICH DIVERSITY OF OUR CONSUMERS AND COMMUNITIES, WE FOSTER A CULTURE OF INCLUSION THAT ENGAGES OUR EMPLOYEES AND AUTHENTICALLY CONNECTS OUR BRAND WITH OUR CONSUMERS.

JOB TITLE:

Sr Specialist - Finance BI & Automation

BRAND:

LOCATION:

Chennai

TEAM:

Finance

STATE:

TN

COUNTRY/REGION:

IN

CONTRACT TYPE:

Full time

NUMBER:

DATE:

Sep 1, 2025