Senior Manager, Strategic Insight and Analysis

The Coca-Cola Company•Atlanta, GA

5d•$143,400 - $169,300

About The Position

The Senior Manager, Strategic Insights & Analytics transforms data, analytics, and market intelligence into actionable business recommendations. The role leads analytical workstreams that support strategic decisions, identify growth opportunities, and improve business performance. It combines analytical rigor, business acumen, strategic thinking, and communication skills to translate complex data and business questions into clear insights and recommendations. The position conducts analyses of business performance, growth drivers, consumer behavior, and market dynamics; integrates internal and external datasets; and applies analytical techniques, forecasting methods, and emerging AI-enabled capabilities. It also evaluates data sources, analytical tools, and vendors for their quality, applicability, and potential value. The role owns project workstreams from problem definition through recommendations, manages priorities and deliverables across initiatives, collaborates with stakeholders, and communicates findings through presentations, visualizations, and written materials. The position is based in Atlanta, United States, with 0%–25% travel and no relocation provided. The stated U.S. base-pay range is $143,400–$169,300, and the annual incentive reference value is 15%. The company does not offer employment-status sponsorship for this position; applicants must already be authorized to work full-time in the United States without requiring the company's sponsorship.

Requirements

Bachelor’s degree in Business, Economics, Analytics, Statistics, Marketing, Finance, Data Science, or a related field.
At least 5 years of experience in strategy, analytics, consulting, consumer insights, business intelligence, or a related discipline.
Experience with syndicated data, consumer research, customer analytics, forecasting, and market intelligence tools, such as Nielsen, Circana, or Numerator.
Experience evaluating third-party data providers and analytical solutions.
Experience using generative AI, AI-assisted coding, and advanced analytics tools (such as Microsoft Copilot, Claude Code, Codex, Cursor, or similar) to accelerate research, data analysis, insight generation, automation, and decision-making.
Experience in consumer-packaged goods, retail, beverage, consulting, technology, or a related industry.
Experience working with complex, large-scale, highly granular datasets, including consumer, customer, transaction, panel, syndicated, and disaggregated data.
Ability to assess data quality, methodology, sample design, representativeness, and data limitations when generating insights.
Experience integrating multiple datasets to develop a holistic view of business performance and growth opportunities.
Strategic thinking and structured problem-solving skills.
Advanced analytics and quantitative analysis skills.
Data storytelling, business communication, and presentation-development skills.
Stakeholder management and cross-functional collaboration skills.
Ability to manage multiple priorities in a fast-paced and evolving environment.
Intellectual curiosity and a continuous-learning mindset.
Strong ownership, accountability, collaboration, relationship-building, and business judgment.
Ability to navigate ambiguity and competing priorities, take a proactive and solutions-oriented approach, and influence through data, insights, and credibility.
Applicants must be authorized to work full-time in the United States without requiring The Coca-Cola Company's sponsorship.

Responsibilities

Translate business questions into structured analytical approaches and actionable recommendations.
Synthesize insights across data sources, business functions, and projects to identify opportunities, risks, and business implications.
Monitor market, consumer, customer, and competitive trends to support business planning and decision-making.
Apply critical thinking and analytical frameworks to evaluate alternatives and inform recommendations.
Analyze business performance, growth drivers, consumer behavior, and market dynamics.
Integrate internal and external datasets into cohesive business narratives and recommendations.
Apply analytical techniques, forecasting methods, and AI-enabled capabilities to generate business insights.
Assess new data sources, analytical tools, and external vendors for business applicability, data quality, and potential value.
Translate analytical findings into clear recommendations and measurable business actions.
Own project workstreams from problem definition through recommendation development.
Manage priorities, timelines, and deliverables across multiple initiatives.
Partner with stakeholders to ensure alignment and successful project execution.
Develop presentations, data visualizations, and written communications tailored to business audiences.
Present findings and recommendations concisely and compellingly, contributing to decisions through analytical expertise, judgment, and storytelling.