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 & free returns. For merchants, we’re driving ecommerce business and providing insights otherwise unknown. It’s the ultimate ecommerce win-win.

 ABOUT US: 


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 and Conshohocken, PA, we’re perpetrators of good vibes and great experiences for our customers, our merchants and each other.

KEY RESPONSIBILITIES: 

As a Data Architect at ShopRunner you would expect on a day to day basis work on items such as:

  • Define analytical SQL schemas for new data driven products, such as historical product pricing and availability, large scale user event streams and member activities.
  • Optimize SQL, XML or JSON schemas / formats for query and storage performance against RedShift, S3, Spark and other data stores.
  • Define, assess or optimize reporting and visualization tools
  • Work with the data engineering team to define, implement and improve our data pipeline and ETL processes.
  • Work with the data science team to come up with novel ways of presenting data for analysis.
  • Document and enhance data quality processes.
  • Be available to assist the analytics team with data access
  • Define and deploy tooling to support our data platform
  • Organize training and instruction on new tool usage

 

HELPFUL SKILLS: 

You will likely be most successful in this role if you have:

  • Experience with petabyte+ MPP databases in mission critical data warehousing roles.
  • Experience with the Hadoop ecosystem
  • Experience with streaming systems like Spark, Flink or Storm
  • Experience with data storage schemas like Avro, Parquet or Thrift
  • Experience with the public cloud and specifically Amazon AWS
  • Experience with commercial and open source modeling and data transformation tools
  • Experience with data analysis and visualization tools such as Business Objects, MicroStrategy or Tableau. Looker experience would be a huge plus
  • Formal training with data-warehousing and modeling
  • Experience describing the business value of data being analyzed as well as experience extracting the underlying business drivers behind specific data requests
  • Enjoy working with cross-functional teams
  • Formal education in Computer Science
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