COMPANY OVERVIEW
Milo’s Tea Company is one of the fastest growing beverage companies in the US. Our culture and operations are built on the belief that we can make a difference in the world. That’s why we put People First and strive to continually reduce our environmental impact on the planet. We leverage our world class operations and decades-long distribution partnerships to grow the footprint of our core products and create new, innovative beverage products.
Being a part of the Milo’s TEAm, you’ll get to collaborate with a group of passionate and high-performing people, where everyone feels empowered to do their best work and feels good about the work they’re doing.
And as a "People First" company, Milo’s is committed to the success and well-being of our associates, customers, and fans, no matter their gender, race or creed. Some of the great things offered that reflect our commitment include:
Position Summary
Supports the Senior Manager of Category Insights in bridging business strategy, analytics and data science to deliver insights that drive business decisions.
Responsibilities:
Collaborate with business leaders to understand strategic business questions and provide analytical solutions with data driven recommendations
Execute the data strategy, collaborating with IT and data engineering to ensure robust data pipelines, governance and data quality
Help launch new data streams to support expanding business needs and enhance existing data sets to maximize value and drive efficiencies
Apply advanced analytics and data science techniques (predictive modeling, machine learning, clustering regression, etc.), integrating disparate data sources to develop insights and support strategic initiatives
Build and maintain data models, reports and dashboards using BI tools to monitor performance and track KPIs using data storytelling best practices
Support training to upskill cross-functional partners in accessing, understanding and interpreting data
Help manage vendor relationships to ensure high quality data and deliverables
Qualifications:
B.A. in business analytics, statistics, applied math, or any other related field; or a minimum of five years related experience and/or training; or M.S. with 3 years related experience
Strong ability to understand and model real-world business dynamics using data
Strong experience with SQL, Python (queries, functions, stored procedures, views, etc.) and cloud-based solutions like Databricks for querying and processing data
Proficiency in data visualization BI tools (both data modeling and report building) to deliver self-service analytic solutions
Strong understanding of relational databases and data warehouses.
Experience with Customer POS and syndicated data
Experience with statistical models, predictive analytics and machine learning
Critical Competencies:
☒ Building Relationships
☒ Coachable/Open to Feedback
☒ Process Driven
☒ Teamwork
☒ Critically Evaluates
☒ Action-Oriented
Software Powered by iCIMS
www.icims.com