Coca-Cola Company Jobs

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The Coca-Cola Company Analytics Engineer in Atlanta, Georgia

As an Analytics Engineer, you work with others on the Data & Analytics team to develop and socialize business analytics strategy, roadmap, and architecture. You will partner with our business stakeholders to translate business strategy and requirements into analytical solutions that align with enterprise architecture and strategic direction within Coca-Cola North America. You will work with the business SMEs and data scientists to perform extensive data engineering activities for advanced analytics use cases.

Additionally, you are responsible for modeling complex analytical problems, discovering insights and identifying opportunities for using statistical, algorithmic, data mining and various visualization tools and techniques. In addition to advanced analytical skills, you should be proficient at integrating and preparing large, varied datasets, architecting specialized DataMarts and analytical solutions, overseeing analytical solutions deployment, and communicating results. You’ll be driving the continuous improvement of business analytics technical capabilities, defining analytics requirements, analytics solution evaluations/recommendations, impact assessments, rapid solution prototyping, planning data acquisition and preparation for advanced analytics.

Function Related Activities/Key Responsibilities:

  • Develop and socialize business analytics strategy, roadmap, and architecture.

  • Make recommendations for strategic and project architecture, solution design, development and implementation for analytics solutions.

  • Drive continuous improvement of business analytics technical capabilities

  • Point person for functional design and delivery of analytics solutions and products

  • Client consultations, technical solution evaluations, recommendations, impact assessments for analytics solutions.

  • Architect and design data warehouse/mart solutions

  • Make strategic recommendations on data acquisition from internal and external sources, data preparation, integration, data quality, and data exploration.

  • Define data requirements, plan and design data acquisition and preparation for specific advanced analytics use cases.

  • Facilitate acquisition, extraction, transformation, management, and manipulation of large and complex data sets.

  • Develop and promote best practices for analyzing very large data sets.

  • Develop solution prototypes for analytics use cases.

  • Use machine learning, data mining, and visualization tools and techniques to develop business insights.

  • Keep abreast of new and current data science and big data techniques and develop approaches to adopt them.

  • Establish strong credibility with business leaders and stakeholders through functional domain knowledge, deep understanding of data sets, and expert knowledge of products and solutions he/she oversees

  • Develops and recommends new advanced solutions based on a deep knowledge of business needs, industry trends, best practices and emerging products and services to bring value to the business

  • Deliver on key product roadmaps and feature sets using agile methods

  • Qualify and quantify value delivered through solutions he/she owns

Minimum Qualifications:

  • Bachelor’s Degree in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Data Science, or Information Sciences or related technical discipline.

  • 8+ years of experience in business or IT with a focus on data, analytics, data science, or related field

  • 5+ years of experience in a lead role engaging with key business stakeholders and IT teams to deliver large scale analytics solutions and projects

  • Experience in data modeling, architecting and designing data warehouses/data marts and reporting, dashboarding, and advanced analytics solutions.

  • Experience in data engineering, data mining, large scale data acquisition, transformation and cleaning both structured and unstructured data.

  • Strong problem-solving skills with an ability to define practical yet scalable approaches to analytics needs supported by quantitative or qualitative analysis

  • Analytical skills working with data and mining data to drive insights

  • Experience with Data visualization such as PowerBI, Tableau, etc.

  • Excellent communication skills – adept at communicating with business and technical stakeholders and excellent presentation skills

Preferred Qualifications:

  • Data science experience

  • Experience with cloud computing

  • Exposure to Python, R, etc.

  • Product owner experience in an Agile \ DevOps environment

  • Familiarity with tools such as AWS Dev/Ops, JIRA, GitHub, etc.

Our Growth Culture:

One of the reasons our company continues to thrive after 130+ years is having a company culture that supports and rewards behaviors that lead to growth. Our “Growth Behaviors,” as we call them, are ways of being and working that help to make us successful. Think about how you can bring this to life in your next role at Coca-Cola.

Curious

Keep seeking, never settle. Staying curious about what is outside, and two steps ahead inspires us to challenge the status quo. Having the courage to look and leap is the way we grow. Because asking “what if?” pushes us to the next level as people and as a company.

Empowered

Make it happen. True empowerment is the result of taking responsibility. This means giving yourself permission to see it, say it and do it, and owning the outcomes. Because we move forward faster when we all take action.

Version 1.0, 2.0, 3.0

Push for progress, not perfection. There are very few overnight successes. Greatness is borne of many little victories (and failures). Share v 1.0, test it, and make it better. Then create the next version. Because the moment we think something is perfect, it will be obsolete.

Inclusive

Include, value and trust each other. We are smart alone but together we are genius. This means being inclusive, giving the benefit of the doubt and being responsible for each other. Because, for our company to thrive for the next 100+ years, smart isn’t enough. We need genius.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.​

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