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ShopRunner // network of retailers
 
Chicago, Conshohocken    Posted: Friday, February 26, 2021
 
   
 
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About Us:

At ShopRunner, we connect consumers to the brands they love by way of a thriving marketplace & a members-only service that provides benefits across 100+ of the top brands & retailers in the ecommerce space. We build products that provide a premier ecommerce experience by delivering elevated, data-driven content. The landscape of retail is changing & we're here to empower retailers to take their place in that exciting evolution. 

We have people in offices around the world: Headquartered in Chicago, with offices in New York, Conshohocken, PA (Philly area), & Krakow, Poland.

About the Role:

ShopRunners SaaS products support online shoppers, retailers, & payment partners to improve shopping & shipping experiences for retailers & shoppers.  Every week, we collect a billion interactions with shoppers across our network of retailers. Our analytics team uses this data to help us make decisions about the effectiveness of our services to retailers & consumers.

This role, reporting to the director of analytics, will leverage skills in SQL, data visualization, & marketing storytelling to demonstrate the incremental value of ShopRunner to the largest retailers in our network. 

You will analyze data about e-commerce transactions & web analytics conversions, combine it with third-party demographics & qualitative datasets, & help our retailer account leads quantify & articulate ShopRunners incremental value to senior retail executives.

If youre excited to dive into large & imperfect datasets, present data-driven insights to senior retail execs, & help align our products to market demands, we want to hear from you.

What were looking for:

Required:

  • 6+ years of experience as a data analyst in a consumer-facing company
  • BS or equivalent experience in a technical field like Marketing Analytics, Computer Science, Engineering, Mathematics, Statistics.
  • Experience presenting analytics results in a compelling narrative to senior client or stakeholder executives, in support of your companys value proposition.
  • Proficient understanding of how event data is tracked using tools like Google Analytics or Adobe Analytics.
  • Experience troubleshooting data pipelines & ETL workflows as an end-user.
  • Experience translating between technical data questions & business implications.
  • Experience making dashboards with data visualization tools (Tableau, Power BI, Looker) in a production environment.
  • Fluent with complex SQL queries on millions of rows (joins, subqueries, window functions).
  • Advanced Excel proficiency (pivot tables & lookups to summarize results)
  • Confidence to share the limitations of an analysis when the data isnt perfect.
  • Excited to navigate startup ambiguity & a fast-paced culture.

Preferred:

  • Ability to programmatically clean messy datasets (data deduping, string parsing, JSON parsing).
  • Experience working across multiple business functions
  • Basic understanding of prediction & personalization algorithms (e.g. purchase & churn propensity models, product recommendations).  This role will not build production models, but it will help to understand how those models generally operate in connection to CRM & testing initiatives.
  • Experience using Python or R for reproducible data analysis (jupyter, R notebooks)

We want you to bring your whole human self to work every single day. We accept you for who you are & consider everyone on an equal opportunity basis without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

 
 
 
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