Digital Finance & Analytics (all genders)

 

Digital Finance & Analytics (all genders) 

         

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.

THIS POSITION MAY BE BASED IN GERMANY, LEVERKUSEN OR SOME OTHER MAJOR BAYER SITES

    YOUR APPLICATION      

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Bayer is committed to providing barrier-free access and support-facilities for individuals with disabilities - during the application process and beyond. Applicants with disabilities are encouraged to request any support / equipment they may need via the contact information below.
 

      Application Period: 19/09/2024 - 03/10/2024 Reference Code: 828900     Division: Consumer Health   Location: Switzerland : Basel-City : Basel     Functional Area: Controlling   Position Grade: VS 1.2     Employment Type: Regular  Work Time: Fulltime       Contact Us   Address Telephone E-Mail Peter Merian-Strasse 84, CH-4002 Basel

+41 58 272 72 72

swisstalents@bayer.com