Location(s):

United States of America

City/Cities:

Remote

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

July 29, 2024

Shift:

Job Description Summary:

We are a beverage company that believes in the power of technology, and we are continuously transforming our business to meet consumer needs. Our culture is casual, fun, and social - with an emphasis on continuous learning and the freedom to try new ideas and experiment.  

Our team sits within the Revenue Growth Management function of the North America Operating Unit.  We are a small, highly collaborative team known for producing innovative and highly actionable insights around pricing and promotion activities for our beverage portfolio. 

What You’ll Do for Us  

You will drive organizational change and profitability using business acumen coupled with proficiency across data and analytics. You will act as an integrator and manage the end-to-end analytics of our proprietary approach to revenue optimization as well as identifying sources of value from big data and generating data driven insights to create value in our market. 

• Data: You should be comfortable with and capable of accessing, transforming, and staging large data sets with performant and scalable PySpark queries to test and evaluate new models, as well as effectively handing off data requirements to the data engineering team once a project moves towards production.  

• Analytics: This role will drive analytical thought process and will have ownership of the analytical processes, developments, and transformation of new and legacy algorithms. The ideal candidate will have extensive and hands on experience in data querying, analytical programming, statistical programming, and regularization. Experience in building end-to-end analytical solutions including creating hypothesis, data gathering, data enrichment, data management, data analysis, algorithm building, insights reporting, scalability and automation. Hands on experience in deploying machine learning models, regressors, and/or econometric models in a scalable environment. 

• Advisory leadership: Combine the views of subject matter expert and data engineers/scientists to drive insights to action and align stakeholders around the solution. You will ideally develop a peer-like counsellor relationship to business leaders. 

• Business acumen: Develop or have deep industry expertise (Consumer Package Goods and/or Food and Beverage). You will be expected to understand current state of analytics more broadly and able to apply techniques from across industries. 

Requirements 

• Broad experience building and deploying regression and time-series models 

• Deep expertise in Python, PySpark and SQL 

• 5 or more years of work experience required working in a data-centric business environment 

• Strong consultative communication skills diagnosing data to develop successful growth strategies with internal clients 

• Proven comfort and an intellectual curiosity for working with large sets of data, pulling in relevant team members to address identified and sometimes undiscovered needs for clients 

• Demonstrated ability to generate new ideas, and develop them from your concept to a solution 

• Demonstrated ability to use software to manipulate data, prototype new tools, and extract actionable insights from that data 

• Capable of presenting outcomes of analytic solutions in a format easily understood by a non-technical audience 

Preferred 

• Experience in working with Azure suite of tools (Databricks, ADF, Synapse) 

• Experience with  

• Git and MLFlow 

Skills:

Agile Methodology, Atlassian JIRA, Business Processes, Business Process Modeling, Cloud Platform, Communication, Data Flow Diagram, DevOps, Digital Transformation, Enterprise Architecture Framework, Enterprise Content Management (ECM), Java, Kotlin Programming Language, Microsoft Office, Microsoft SharePoint, Mobile Applications, Object-Oriented Programming (OOP), User Experience (UX)

Pay Range:

$159,300 - $184,700

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:

30

Annual 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.

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

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. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.