Did you know that the average American spends over 100 hours a year standing in line? Our time is valuable. We are all tired of waiting in line. With the convenience of online shopping and delivery services for every type of business everywhere, shoppers are demanding the same frictionless experience when it comes to shopping in a store. There has never been a more exciting time in retail for Zippin to deliver a cutting-edge shopping experience that will provide the highest level of service and anticipate the needs of shoppers.

The Zippin platform-as-a-service provides a checkout-free solution for all kinds of stores, transportation hubs, sports arenas, business and university dining locations, and any other physical retail space. Shoppers are able to walk in the store, pick up what they want, and then leave. We use machine learning, computer vision, and sensor fusion to automatically charge shoppers when they walk out—a paradigm shift in the shopper experience, with no lines.

In August of 2021, we closed a $30 million Series B funding round with participation from new and existing investors including OurCrowd, Maven Ventures, Evolv Ventures and SAP. This new round brings Zippin’s total funding to more than $45 million. This round comes on the heels of significant progress we’ve made in recent months, including signing numerous new accounts, launching multiple new public checkout-free stores, and further solidifying their leading technology within the future of retail.

Skills, hard work, judgment, and attention to detail are more important than experience for this role as Zippin’s first BI Analyst, reporting to the Director of BI.

Your initial focus will be improving existing reports and developing new reports using data from a SQL database, extracted and processed in Python.  Existing: focus on validating and optimizing SQL (and Python).  New: quickly learn about our data, understand any gaps between the request and report output, and ensure your reports are consistent with existing reports.

Other work

• Maintaining external data sources and models
• Standardizing and documenting metrics
• Analyzing customer data and making recommendations
• Scoping out, developing requirements for, evaluating, and implementing data products

Requirements

• Proficient with Python and Pandas, SQL, and spreadsheets
• Experience troubleshooting, validating, optimizing, documenting, and automating

Skills

• You work efficiently because you invest the right amount of time up front
• You are good at prioritizing work when you have a backlog
• You are good at communicating with internal partners as well as customers

Bonuses

• Experience analyzing customer data or other behavioral data
• Skilled at drawing business-relevant conclusions
• Experience working with evolving datasets
• Experience working in a tech startup

This position can be remote in the US or Canada.

To become the operating system for the store of the future.

Our mission is to save shoppers time, improve their in-store experience and increase brand loyalty, while making retailers more profitable.

Zippin is a values-based organization. We have a culture shaped by a clear set of ground rules establishing a framework and principles for decision-making, behaviors and a sense of community.

• Innovation - We have an ambitious vision, and any change, especially the zealous kind, requires big ideas.

• Integrity - We trust each other, and that trust is the foundation on which our relationships both internally and externally are built.

• Continuous Improvement - We see everything as improvable, and work at finding ways to do so, and enjoy moving toward our goals.

• Accountability - Our teammates have intrinsic enjoyment in taking ownership and delivering on what they say they will.

• Customer Focus - We care the most about what benefits our customers and partners.

Zippin is proud to be an equal opportunity employer. We're committed to fair hiring practices and a welcoming working environment. All candidates are considered for employment without regard to race, religion, ethnicity, age, gender, sexual identity or expression, medical condition, or socioeconomic status. We value our differences and we're excited to learn what you can add to our team.