Product Manager, Data, Analytics Reporting
The Coca-Cola Company•Atlanta, GA
•$124,600 - $148,200•Onsite
About The Position
You will play a critical role in the growing of Data and Reporting for Platform Services, where you will be responsible for developing advanced analytics across domains like: marketing, supply chain optimization, forecasting, digital transformation, and food and beverage science. You will work closely with IT partners, process owners and business stakeholders to deliver impactful data science solutions at significant scale.
Requirements
- Master’s degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, or Operations Research. 5 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
- Working experience applying a range of statistical and modeling techniques including hypothesis testing, dimensionality reduction, supervised learning (classification and regression), forecasting, and unsupervised clustering
- Working experience in scripting and programming with Python and SQL
- Experience gathering, interpreting and translating business requirements
- Strong aptitude for learning and applying new technologies related to Data Science and Data Management
- Demonstrated ability to communicate complex analytical concepts and results at multiple levels to both technical and non-technical audiences
- Experience with code version control platforms like GitHub, GitLab or Azure DevOps
Nice To Haves
- Experience with the Microsoft Azure analytics stack (Cosmos DB, Azure Synapse, Azure ML, Databricks)
- Experience with Model Risk Management and Responsible AI
- Experience working in the CPG industry
- Exceptional communication skills
- Excellent time management skills – multitasking is critical
- Experienced in Project Management
- Intermediate or better proficiency in DAX
- Working knowledge of Power Query
- Experience visualizing data in Power BI Desktop and Power BI Service
- Solid understanding of dimensional modeling concepts
- Ability to connect with our clients
- Insatiable curiosity and love of learning
Responsibilities
- Partner with business and technical stakeholders across the organization to translate challenging business problems into impactful data science solutions
- Collaborate with data engineers, data stewards, product owners and business users to lead projects through the end-to-end data science lifecycle, including: data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation/testing, and operational deployment
- Apply a variety of advanced analytical techniques, including: predictive modeling, machine learning, time series analysis, simulation and optimization
- Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling
- Communicate complex analytical work to a variety of technical and non-technical stakeholders
- Build complex dimensional data models and reports from the bottom up
- Audit existing Power BI efforts with a focus on improvement
- Visualize compelling data stories on the report canvas
- Produce KPIs with user-friendly display dashboards
Benefits
- A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
