Demand Planning BI Specialist

Location(s):

Brazil

City/Cities:

Manaus

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

November 27, 2024

Shift:

Job Description Summary:

CPS (Commercial Products Supply) is a key part of the Advantaged Supply Chain of the Technical Function of The Coca-Cola Company.  CPS manufactures concentrates and beverage bases for sale to bottling partners all over the world.  This global organization manages a network of 19 manufacturing plants in 18 different countries along with 2 office locations (Atlanta & Drogheda, Ireland).  CPS also manages complex additional materials supply chains (e.g. juice, coffee, tea, milk, etc.) on behalf of bottling partners.

What you'll do for us:

• Key Digitization Projects: Support the deployment of new IBP functionalities globally, define user stories, train users, and automate processes using tools like Power Apps and Python.
• Standardize & Automate Reporting: Collaborate with IT and global transformation stakeholders to standardize and automate demand volume reports, leveraging ORI, Power BI, and Power Pivot, while ensuring integration with SAP core systems.
• Continuous Improvement in Analytics: Design new Power BI/pivot reports and dashboards for demand reporting and analytics, enhancing accuracy, alerts, segmented planning, and customer engagement.
• Scenario Analysis: Develop demand-to-supply scenario analysis to provide action recommendations for potential market changes or global supply constraints.
• Machine Learning Forecasting: Enhance demand validation and collaboration through ML forecast, ensuring IBP master data accuracy.
• Collaboration & Improvement: Work closely with regional demand analysts and the CoE to drive analytical process improvements, manage OU demand activities, and represent the DP function in routine meetings.
• Coaching & Development: Coach team analysts on-the-job, train new associates, and support capability development across analysts, especially in adopting new tools and methods for analytics.

Qualifications and requirements:

Essential Qualifications:

• Bachelor's degree in Business, IT, Finance, or Supply Chain Management.
• 5+ years’ experience in a Data Analyst role, Planning/Demand Planning, or Budget areas.
• Fluency in written and spoken English.

Desirable Skills and Experience:

• Lifelong learning aspiration and growth mindset.
• Self-direction, autonomy, and comfort with change and uncertainty.
• Creativity, problem-solving, critical thinking, and emotional intelligence.
• Collaboration in a multicultural, cross-organization environment.
• Adaptability and resilience.

Hard Skills:

• Analytical reasoning, logical thinking, and working with digital tools such as ERP, Business Intelligence & Reporting (Power BI), and Data transformation (e.g., Power Automate).
• Business analytics, especially in a supply chain environment.
• Data architecture and Sales & Operations planning.

What We Can Do for You

• Offer a dynamic and exciting work environment where a culture of innovation thrives.
• Provide opportunities for personal and professional development within a global team.
• Enable empowerment through responsibility and a solutions-driven mindset.
• Encourage a collaborative atmosphere that values inclusiveness and diversity.
• Support agility and learning, fostering a results-oriented work culture.

Skills:

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.