Jobs and Careers
PA
Retail Analyst
PatternUnited Statesfull_timeVerifiedPosted 8 Oct 2025
About the role
Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com.
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.
We need a Retail Data Analyst to help transform our digital advertising team into a data-driven performance machine. We want our team members to be proactive and persistent until they are able to turn data into profitable insights for our customers and partners alike. We are looking for someone with extremely high standards who is efficient and not afraid to roll up their sleeves and do what it takes to help our partners be successful. If you are intelligent, organized, and a high-energy builder, we encourage you to apply. This is a full-time role and will work a hybrid schedule (three days in office, two days remote per week) based in Lehi, Utah.
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com.
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.
We need a Retail Data Analyst to help transform our digital advertising team into a data-driven performance machine. We want our team members to be proactive and persistent until they are able to turn data into profitable insights for our customers and partners alike. We are looking for someone with extremely high standards who is efficient and not afraid to roll up their sleeves and do what it takes to help our partners be successful. If you are intelligent, organized, and a high-energy builder, we encourage you to apply. This is a full-time role and will work a hybrid schedule (three days in office, two days remote per week) based in Lehi, Utah.
What is a day in the life of a Retail Data Analyst?
- Collaborate with the ecommerce management team to align goals with the internal ambitions set by our partners
- Oversee end-to-end business project solutions, leveraging data-driven insights to align with ecommerce growth objectives
- Advanced capabilities in Excel, SQL, Python with strong visual reporting skills; building interactive Streamlit apps with deployment
- Extensive experience with Amazon, ad and brand strategy, or overall ecommerce growth management
- Exceptional analytical abilities, preferably within ecommerce In-depth understanding of online marketing metrics (CPA, CPM, CPC, LTV)
- Maintain partner brand relationships by presenting analyses and joining regular external meetings
- Strong analytical, data-driven mindset, and a good overall intuition for numbers and data
What will I need to thrive in this role?
- Bachelor’s degree in Information Systems, Marketing, Business, Communications, or a related program
- 5+ years of experience in retail analytics
- Demonstrable Excel knowledge, data analysis, and problem solving skills
- Prior experience in managing client relationships and communicating with key internal & external partners
- Knowledge and experience with Snowflake, Tableau, and Github
- Experience working with large keyword portfolios
- Proven success in process improvement, creative problem solving, and business strategy
- Demonstrable quickness in learning new things and an ambitious attitude
Preferred Qualifications:
- Working history with the Amazon advertising and brand platform and third party tools like Helium 10, Pacvue, Viral Launch, etc.
- Knowledge of advanced auto-bid tools, such as Marin or DS3Skills in web analytics and relevant attribution models
- Project management & scrum experience
- Experience building Streamlit apps
- Experience building automations and outlining workflows
- Experience in retail revenue strategy
What does high performance look like?
- You are agile and experimental, bringing new ideas and moving fast to achieve goals
- You are self-driven, organized, and proactive mindset with high ethical standards
- You love web analytics, attribution models, and are up to speed on all the latest trends
- You follow through with all assignments in a timely manner
- You give 100% to all tasks and projects you are given
- You will take full ownership of your projects and follow through until complete
What is my potential for career growth?
- You will learn
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