1+ months

Sr Manager, Decision Science - The Coca-Cola Company

Atlanta, Georgia

Why Join Coca-Cola North America?

It’s an exciting time to work in The Coca-Cola Company’s flagship market. We’re accelerating our momentum as the fastest-growing large consumer goods company in North America by putting people at the heart of our business and everything we do – whether we’re innovating to give consumers the drinks and packaging sizes they want, or building our eCommerce capabilities. People are our focus when we’re collaborating with our diverse network of locally-connected bottling partners, and when we’re returning every drop of water we use to communities and nature. And people – with the different backgrounds, skills and perspectives they bring to our workplace – are helping transform our business, one big idea at a time. We empower our employees to challenge the status quo, make bold recommendations, experiment and adapt, so we can grow together and make a great business even better.

The Senior Manager, Decision Science is responsible for translating structured & unstructured datasets into clear and compelling insights that lead to actionable recommendations to drive business results. The scope of these recommendations will span both tactical and strategic goals of the Data Strategy & Decision Science organization. The Senior Manager, Decision Science will work closely with peers and cross-functional business partners to analyze business opportunities, structure experiments to test hypotheses, optimize processes and continually innovate new ideas to help sustain the
business. Specifically, this position will support our growth strategy in terms of market share and profitability across the portfolio. S/he will develop and maintain marketing mix models across our brands and assess the performance of marketing investments for all marketing channels. S/he must also be able to analyze and establish the cumulative impact of all marketing activities in the short term and long term. S/he will communicate findings and implications to the various stakeholders and senior leadership


Function Related Activities/Key Responsibilities

  • Lead the development of advanced analytical methods by extracting and mining vast amounts of data from multiple sources to provide actionable insights for solving business problems or finding opportunities for profitable business growth. Fully understand when it is appropriate to use the different techniques
  • Deliver these insights keeping an optimal balance of time to deliver and level of detail/accuracy given data availability and/or imperfections
  • Provide expertise on statistical and mathematical concepts and inspire the adoption of advanced analytics and data science across the organization
  • Lead marketing mix analyses by managing and coordinating external research suppliers in order to ensure data basesare properly built, models are appropriately calibrated and business issues are addressed and implication and recommendations are effectively communicated. Develop projections and simulations of future marketing activities,optimizing their effectiveness through development of best in class statistical models to provide continuous insights to Brand teams
  • Knowledge of, and experience using key U.S. market intelligence sources, including Nielsen RMS/Storeviews, Nielsen Homescan Panel, Nielsen Retail Execution, and consumer surveys.
  • Leverage technology to increase efficiency and productivity throughout the entire organization and act as a subject

matter expert for information platforms and analytical/technical tools

Education Requirements

Master’s Degree in Analytics or related quantitative field (Statistics, Operations Research, Math, etc.) with strong
experience in data & business analytics. PhD is a plus

Related Work Experience

  • 5+ years’ experience working in marketing data science role, or equivalent; ideally in a CPG company
  • Thorough knowledge of statistics and advanced data analysis/modeling skills (e.g. significance testing, regression modeling, machine Learning, AI, etc.)
  • Deep experience with latest media measurement practices, including attribution modeling and cross-channel measurement
  • Experience working with big data platforms such as Hadoop, statistical programming languages, like R or Python or SAS, database querying language like SQL, HIVE to increase efficiency by improving accuracy and reducing turnaround time
  • Working knowledge of data visualization tools such as Tableau, Micro Strategy to deliver output to the broader business community and help them make data-driven decisions and improve productivity
  • Ability to thrive in an environment and collaborate with different individuals and organizations
  • Strong presentation skills


Posted: 2019-09-27 Expires: 2019-11-26

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Sr Manager, Decision Science - The Coca-Cola Company

The Coca-Cola Company
Atlanta, Georgia

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