Digital Finance & Analytics (all genders)

Digital Finance & Analytics

*This position can be based in Germany, Leverkusen or some other major Bayer sites.

Job Overview:

We are seeking a highly skilled Digital Finance & Analytics professional to drive data-driven decision-making through digital solutions, predictive analytics, and end-to-end financial ecosystems. In this role, you will deliver scalable, automated, and harmonized global, regional, and local solutions that enable customer-focused digital finance operations. You will collaborate closely with IT and finance teams to transform how we manage performance, planning, and forecasting.

This position is part of a fluid resource allocation pool, meaning you will be assigned to different areas based on business needs, shaping a digitally enabled value creation culture across the organization.

Key Responsibilities:

• Manage a portfolio of predictive analytics activities and simulation tools to align with organizational goals, ensuring customer-focused, data-driven solutions.
• Develop, pilot, and test digital finance solutions, utilizing tools like Python, R2, and RPAs.
• Lead the ANAPLAN operating model, including building and maintaining the global ANAPLAN framework.
• Allocate resources, tools, and budget to various use cases to optimize portfolio value.
• Monitor performance across projects, implementing corrective actions when necessary.
• Identify and prioritize predictive analytics use cases based on business impact.
• Engage stakeholders by providing regular updates on digital finance initiatives and their outcomes.
• Support planning, forecasting, and financial performance steering, ensuring an integrated view of sales, operations, and finance.

Value Added:

• Shape a digitally enabled value creation culture throughout the organization.
• Actively drive the digital transformation of finance, focusing on winning with customers and consumers.
• Ensure an integrated view on sales, operational and financial planning
• Enable modern financial steering by leveraging predictive forecasting and simulation tools.
• Deliver insights that drive corrective actions and improve financial performance.

Key Work Relations:

• Collaborate with Performance Steering, Finance hubs, and regional leadership teams (Category Leads, Cluster Heads, General Managers).
• Work cross-functionally with the PBS ecosystem, including Supply Chain and BI&A teams.
• Maintain close partnerships with internal and external stakeholders, including IT departments and global finance teams.

Qualifications:

• 5+ years of experience in Finance, Business Intelligence, or related areas, with increasing responsibility.
• Advanced understanding of predictive analytics techniques (i.e. Statistics, Machine Learning)
• Strong understanding of the Consumer Health operating model, industry trends, and business strategies.
• Solid understanding of the industry, market dynamics, & business strategy to effectively align predictive analytics w/ business objective
• Experience in predictive analytics, machine learning, and data visualization, with skills in tools such as Python, R, and DataRobot.
• Proven ability to translate business questions into predictive analytics tasks.
• Excellent communication skills to convey complex insights to non-technical stakeholders.
• Strong ownership, proactivity, and a willingness to explore new approaches.