Senior Category Data Analyst

Job Locations US-Corporate Remote
ID
2025-2558
Category
Sales
Position Type
Full_time

Overview

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.  

  • We are the #1 and fastest growing brand in the Refrigerated Tea Category in the nation. 
  • Our core mission is that we put people and the planet first and by doing this, it will be good for our business. 
  • We are committed to unlocking the personal genius of every associate and have a strong focus on growth and learning. 
  • Our Company is women-led and strongly committed to Diversity, Inclusion and Belonging. 
  • We are committed to annual charitable giving by delivering upon our 1% profit pledge. 
  • We are Platinum Certified in Zero Waste Manufacturing: recycling, reducing, and reusing 95% of waste at all facilities. 

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: 

  • Competitive salary with bonus opportunities for various roles 
  • 100% employer paid medical premium for our associates and their families 
  • Free Mental Health, Financial Wellness, and Legal Counseling benefits 
  • 401K with a company match 
  • Company paid Life Insurance 
  • Tuition reimbursement assistance 
  • Continuous learning opportunities through various platforms and resources 
  • A robust parental leave program 
  • Care Relief Fund to help Associates in need 
  • Associate Assistance Program 
  • Paid volunteer time 

 

 

 

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

 

 

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