Senior Manager, Strategic Insight and Analysis

Coca-Cola•Atlanta, GA

1d•$143,400 - $169,300

About The Position

The Senior Manager, Strategic Insights & Analytics transforms data, analytics, and market intelligence into actionable business recommendations. This role leads analytical workstreams that support strategic decisions, identify growth opportunities, and improve business performance. It combines analytical rigor, business acumen, strategic thinking, and strong communication to translate complex data and business questions into clear insights and recommendations. The role requires strong problem-solving capabilities, intellectual curiosity, and a collaborative approach to supporting business decisions. 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 assesses data sources, analytical tools, and external vendors for applicability, quality, and value. The manager owns project workstreams from problem definition through recommendation development, manages priorities and deliverables across initiatives, collaborates with stakeholders, and presents findings through clear communications and visualizations tailored to business audiences. The role is based in Atlanta, United States, with 0%–25% travel and no relocation provided. Applicants must be authorized to work in the United States on a full-time basis without requiring Coca-Cola sponsorship. The stated U.S. base pay range is $143,400–$169,300, with a 15% annual incentive reference value. Benefits are described generally as a full range of medical, financial, and/or other benefits, dependent on the position.

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 related disciplines.
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 related industries.
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 into a holistic view of business performance and growth opportunities.
Ability to evaluate new data assets, third-party information providers, and analytical solutions for business applicability and value.
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 and accountability.
Ability to navigate ambiguity and competing priorities.
Strong collaboration and relationship-building skills.
Sound business judgment and a proactive, solutions-oriented approach.
Effective communication and ability to influence through data, insights, and credibility.
Must be currently authorized to work in the United States on a full-time basis and must not require Coca-Cola sponsorship to continue working legally in the United States.

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.
Conduct analyses focused on business performance, growth drivers, consumer behavior, and market dynamics.
Integrate diverse internal and external datasets into cohesive business narratives and recommendations.
Apply analytical techniques, forecasting methods, and emerging 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.
Contribute to business decisions through analytical expertise, sound judgment, and effective storytelling.