Job Description Summary:

This role sits within the Enterprise Intelligence team, which is a global team embedded in the broader Global Digital Network organization. In your role within this team, you will support the intelligence delivery to our categories through deep understanding of the category needs, utilization of our analytics solutions, and close integration of the categories' innovation agenda.

You will be part of a team of analytics experts that pursues continuous improvement of our category support design in close partnership with the global category teams, as well as their counterparts in the Operating Units. This role will be essential to unlocking analytic intelligence and insights that drive the successful execution of the categories' strategic roadmaps, the delivery of the categories' annual business plan, and support the development of the categories' long-range plan.

Key Responsibilities

Support Key Category Business Performance Routines and Insights Generation

• Deliver analytics insights for monthly business reviews, quarterly performance deep-dives, annual business planning, and long-term roadmaps.

• Monitor and update category performance reports, identifying trends and actionable insights.

• Conduct in-depth performance reviews and provide strategic recommendations to stakeholders.

• Collaborate with teams to analyze category performance and identify growth opportunities.

• Propose and implement process improvements for category and internal workflows.

Promote Analytics in Category Planning and Execution

• Identify opportunities to integrate analytics into category planning and execution.

• Drive adoption of analytics tools and technologies through change management strategies.

• Track usage and satisfaction of analytics tools, addressing barriers to increase engagement.

Enhance Analytics Tools and Insights

• Continuously evaluate and improve analytics tools, platforms, and methodologies.

• Collaborate with stakeholders to align analytics solutions with future needs and objectives.

• Ensure data accuracy, consistency, and integrity for category analysis and reporting.

• Monitor performance metrics and measure the effectiveness of analytics solutions.

Foster Leadership and Collaboration

• Build a strong, collaborative enterprise intelligence community.

• Promote a positive team environment, encouraging open communication and teamwork.

• Demonstrate accountability, integrity, and a strong work ethic to inspire peers.

• Celebrate individual and team achievements to foster motivation and appreciation.

Qualifications & Requirements

Functional Skills

• Data Storytelling: Simplify complex data into actionable insights for diverse audiences.

• Data Analysis & Insights: Analyze large datasets to identify trends and provide actionable insights.

• Data Management: Manage data requests and utilize support systems effectively.

• Category Analytics: Translate raw data into meaningful insights for category growth.

• Collaboration: Work with cross-functional teams across marketing, commercial, finance, strategy, and technology.

• Advanced Analytics: Leverage AI and machine learning for deeper insights.

• Stakeholder Management: Communicate effectively and influence global senior leadership.

Experience

• 5+ years in FMCG analytics, with experience in global or regional roles.

• Proven ability to work across teams and geographies in complex environments.

• Experience in both strategic and operational roles with a focus on delivery outcomes.

Education

• Bachelor's degree required; Master's degree preferred.

What We Can Do for You

• Iconic Brands: Work with globally recognized brands like Coca-Cola, Sprite, and Fanta.

• Diverse Customers: Collaborate with a wide range of customers, from retail to entertainment.

• Growth Culture: Be part of an inclusive culture that values curiosity, empowerment, and continuous learning.

Skills:
Brand Positioning, Brand Storytelling, Channel Management, Channels Strategy, Collaborative Leadership, Communication, Competitive Assessments, Consumer Segmentation, Consumer Trends, Decision Making, Digital Media Strategy, Group Problem Solving, Media Planning, Microsoft Office, Quantitative Research, Retail Marketing Strategy, Social Media Strategies, Syndicated Research, Waterfall Model

Pay Range:
United States of America: 139,600 USD - 157,900 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:
15

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Location(s):
United States of America

City/Cities:
Atlanta

Travel Required:
00% - 25%

Relocation Provided:
No

Job Posting End Date:
August 14, 2026