Scientist, Data Analyst at The Coca-Cola Company in US - GA - Atlanta

Summary: The Coca-Cola Company is the largest beverage company in the world, and they are seeking a Data Analyst to support research and enterprise data initiatives. The role involves designing and maintaining scalable data pipelines, collaborating with stakeholders, and ensuring data quality to drive decision-making across the organization. Responsibilities: - Design, develop, and maintain scalable, cloud-based data pipelines to support research and operational use cases - Build and manage ELT processes that transform raw data into clean, analytics-ready datasets - Collaborate with scientists, analysts, and business partners to gather requirements and translate them into effective data solutions - Ensure data quality, reliability, governance, and security through validation, monitoring, and best practices - Monitor, troubleshoot, and optimize data pipelines for performance and reliability - Apply best practices for version control, testing, CI/CD, and documentation of data workflows - Support ad hoc data analysis, reporting, and visualization efforts as needed Required Qualifications: - Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative field - 1–3 years of experience working with Python and SQL in a data analysis or data engineering role - 1–3 years of experience building, maintaining, or supporting data pipelines and ELT processes - Experience working with data visualization and analysis tools such as Excel, Tableau, or similar platforms - Strong analytical and problem-solving skills, with the ability to work with large and complex datasets - Familiarity with cloud platforms such as AWS or Azure and associated data services - Experience using version control tools (e.g., Git) and working in Agile development environments - Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders Preferred Qualifications: - Experience working with operational, research, or enterprise data environments - Exposure to data governance, data quality frameworks, or security best practices - Experience with modern data frameworks or orchestration tools (e.g., Airflow, dbt, or similar) Required Skills: Python, SQL, Data pipelines Important Skills: Data visualization, Cloud platforms, Version control Nice-to-Have Skills: Analytical skills, Agile development, Problem-solving, Communication Benefits: A full range of medical, financial, and/or other benefits, dependent on the position, is offered.