Job Summary:
The Coca-Cola Company is seeking a Manager, Data Science to support data-driven decision-making across NAOU Marketing. This role involves executing advanced analytics and modeling to understand business performance and inform strategy, while collaborating with various teams to gather data and generate actionable insights.
Responsibilities:
• Execute Data Analysis & Modeling Projects: Perform structured analyses and build models to address key business questions. Work with large datasets to explore patterns, engineer features, and apply appropriate analytical techniques (e.g., regression, classification, time series, or other statistical/ML methods). Ensure a high standard of rigor, including data validation, model testing, and iteration.
• Support Model Development & Validation: Partner with senior team members to develop and refine advanced models. Contribute to data preparation, methodology selection, and model validation. Perform diagnostic analyses to evaluate model performance and identify opportunities for improvement.
• Generate Insights and Reports: Translate analytical outputs into clear, actionable insights. Develop concise deliverables (slides, summaries, visuals) that communicate what is happening, why it matters, and what actions should be taken. Support stakeholder discussions and respond to follow-up questions with data-backed reasoning.
• Collaborate with Marketing Teams for Data Gathering & Context: Work closely with Marketing, Finance, and other teams to gather data inputs and understand business context. Ensure analyses reflect real-world conditions, including promotions, operational changes, and external factors.
• Maintain Dashboards and Ongoing Analytics Tools: Support ongoing reporting, dashboards, and analytical tools. Refresh data, validate outputs, and identify opportunities to improve automation, usability, and insight generation.
• Contribute to Data Quality and Governance: Promote strong data practices by identifying inconsistencies, validating inputs, and collaborating with partners to improve data quality. Help ensure reliable and consistent datasets for analysis.
Qualifications:
Required:
• Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Engineering).
• 3+ years of experience in data analysis or data science.
• Strong experience working with large datasets, applying statistical methods, and generating business insights.
• Technical Proficiency in SQL and at least one programming language (Python or R).
• Experience with data manipulation, statistical analysis, and visualization.
• Strong foundation in statistics and analytical thinking.
• Understanding of key business and performance metrics (e.g., growth drivers, ROI, conversion, customer behavior).
• Ability to connect data insights to business decisions and priorities.
• Strong focus on accuracy, data validation, and quality control.
• Ability to work with imperfect data and apply sound judgment in analysis.
• Ability to communicate complex analytical concepts in simple, clear terms to non-technical audiences.
• Strong written and verbal communication skills.
• Comfortable working independently and as part of a team.
• Able to manage multiple priorities, meet deadlines, and proactively engage with stakeholders.
• Curiosity and willingness to learn new tools, techniques, and business domains.
• Ability to adapt in a fast-paced, evolving environment.
Preferred:
• Exposure to marketing, sales, or customer data is valuable but not required.
• Experience with a range of modeling approaches (predictive modeling, forecasting, segmentation, experimentation, etc.) is preferred.
• Familiarity with tools such as Tableau, Power BI, or similar is a plus.
Company:
The Coca-Cola Company is a soft drink manufacturer & distributor that makes a variety of soft drinks, including diet coke and regular coke. Founded in 1892, the company is headquartered in Atlanta, USA, with a team of 10001+ employees. The company is currently Late Stage.