For customers, we’re an online, members-only service that provides benefits across 140+ of the best online stores. Our members save time and money with benefits including free 2-day shipping, easy 2-click checkout and free returns.
For merchants, we’re driving ecommerce business, producing insights with a growing data analytics practice to boot. And we help them compete in today’s marketplace. It’s the ultimate ecommerce win-win.

With people in offices in Chicago, Conshohocken, PA and San Mateo, we’re perpetrators of good vibes and great experiences for our customers, our merchants and each other.

ABOUT THE ROLE:
The ShopRunner Analytics team drives insights in every aspect of our business including marketing, product, partner relationships, and engineering. The Data Analyst role will be a critical part of the ShopRunner Analytics team working directly with business stakeholders, managing deliverables, and executing multiple concurrent projects that span across several key areas within ShopRunner.

ABOUT WHAT YOU’LL DO:
● Become the expert on our internal data and systems as well as our partner’s overall business as it relates to ShopRunner
● Identify data issues and drive improvements in data hygiene
● Partner with Engineering, Marketing, Partner Success and Product teams to understand data collection and experimentation requirements
● Create dashboards, reports, analytical frameworks and visualizations for wide-ranging analyses
● Perform analyses to measure the impact of initiatives and understand customer behavior
● Make recommendations for actions to be taken based on your analyses, such as identifying marketing or product feature opportunities
● Present your analyses and insights to all levels of the company, clearly and concisely
● Work cross-functionally to support experimentation and new initiatives , such as building a personalization platform or a customer lifetime value prediction engine

ABOUT WHAT WE’RE LOOKING FOR:
Required:
● 3+ years of experience as a marketing/product/data analyst in a consumer-facing company
● BS in a relevant technical field such as Computer Science, Engineering, Mathematics, or Statistics
● Solid foundation with analytics, deep understanding of the details of solving data problems
● Expert at SQL and Excel for querying and manipulating large volume of data for analysis and visualization
● Experience with creating dashboards/reports using Business Intelligence tools such as Tableau, Qlikview, Looker, etc.
● Ability to work independently and drive your own projects
● Excited about the opportunities in a startup and unfazed by the ambiguity and fast-paced culture that come with it
● Proactive with a problem-solving mindset and attention to detail

Preferred:
● Experience working across multiple business functions
● Statistical modeling experience as it relates to CRM (segmentation, churn prediction, etc) and A-B testing
● Understanding of ecommerce marketing channels and attribution modeling
● Working knowledge of statistics and/or personalization algorithms
● Experience with R or Python for data manipulation and analysis