The Coca-Cola Company is transforming the way we leverage data to power global marketing and Customer & Commercial Leadership (CC&L). We are building a more connected human-centric approach to research, measurement, and partnerships – designed to deliver distinctive, market -leading insights and analytics.As a key contributor in this transformation, the Senior Manager will drive strategic analysis of consumer behavior, from consumption patterns to purchase trends. You will lead development of best-in-class analytics capabilities across the enterprise, collaborating closely with Consumer, CCL, and Category teams to turn data into actionable strategies that fuel growth.This is a high-impact role for a data-driven leader who is passionate about combining analytics expertise with a deep understanding of consumers and markets.Key ResponsibilitiesResponsible for driving & providing marketing analytics and building next-generation of ad-hoc marketing analytic capability across the enterprise.Provide ad hoc analysis based on standardized templates at speed and to scale.Develop refreshed protocol for all marketing Ad Hoc analytics and systematic approach to derive and share comprehensive worldwide insights from ad hoc research.Build real time ad hoc analytic capability working closely with the Platform Services data team and in partnership with Center and OU Insights & Marketing teams.Develop next-generation global standards for marketing analytics.Enhance investment optimization through improved models.Increase efficiency of data and analytics resources by introducing advanced analytics, AI & Machine Learning technology, improving accuracy, actionability, efficiency and user adoption.Lead partnership with the hub data and analytics teams, the other platform service hubs to assess and upgrade analytics through refreshing metrics and developing innovative measurement frameworks.Serve as subject matter expert for Artificial Intelligence and Machine Learning analytics.Qualifications & RequirementsKnowledge & experience in consumer, shopper and channels tracking and analytic tools will be a strong advantage, as well as in shopper/retail syndicated toolsHands-on experience in modern marketing analytics, advance analytics and data modelling, Gen AI application to consumer and shopper tracking tool data and analytics (synthetic data, etc).Must be well versed in research and advanced analytics (segmentation, performance drivers modelling, pricing/promotional effectiveness, in-store execution, category management). High knowledge and understanding of Household Panel and Consumer Tracking solutions.Knowledge of and ability to interpret and apply data and insights to inform TCCC's brand strategy and programs.Cross Functional Relationships: Knowledge of and ability to articulate to senior management the benefits of supporting cross-functional objectives to achieve the business plan.Candidate must have strong analytics experience and be well versed in storytelling from data, translating analytics into actionable outcomes, with ability to simplify complex analysis to communicate the "so what" for the business.SME level experience and applied knowledge of insights and analytics as well as retail measurement service and household panel data.Related Work Experience5 years' experience in the following:Managing cross-functional relationships across Marketing, Finance, and Information Technology (IT) within a complex, global environment.Translating analytics into data-driven insights to guide business planning processes.Working with statistics and exploratory data analysis pertaining to the Consumer-Packaged Goods Industry data, including consumer survey data and syndicated retail data derived from Consumer Tracking (BEACH), Household Panel, Nielsen RMS, etc.Working with Power Bl and SQL.2 years' experience in the following:Programming languages such as R, Python, SQL, Azure ML, Synapse…Ability to perform advance statistical analysis (SPSS, R, etc.)AI/Gen AI application to consumer and shopper data and analyticsEducation RequirementsBachelor's Degree in Data Science/Business Advanced Analytics or similar background.BA or Advanced Degree required.SkillsAnalytical Thinking, Brand Positioning, Brand Storytelling, Channel Management, Channels Strategy, Communication, Competitive Assessments, Consumer Segmentation, Consumer Trends, Decision Making, Digital Media Strategy, Group Problem Solving, Leadership, Market Research, Media Planning, Microsoft Office, Quantitative Research, Retail Marketing Strategy, Social Media Strategies, Syndicated Research, SPSS, Python, R, SAS, SQL, Azure ML, Synapse…What We Can DoForYouIconic Brand: Work on the most recognized brand in the world and be part of developing the brands next chapter.Exposure to World Class Leaders: Availability to global marketing leaders that will expand your network and exposure you to emerging digital platforms and marketing insights.Creative Team Culture: Be inspired by the best brand leaders and agencies in the world, which creates a creative culture that supports taking risks and innovation.Skills Brand Repositioning; Actionable Insights; Shopper Marketing; Consumer Trends; Category Insights; Consumer Segmentation; Analytical Thinking; Data Driven; Customer Insights; Market Research; Market Data Research; Stakeholder Management; Consumer Behavior; Advanced Analytics; Brand Storytelling; Customer Analytics; Consumer Training; Marketing Data; Shopper Analytics; Analytics InsightsAnnual Incentive Reference Value Percentage:15Annual 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.