Senior Data Analyst

| Chicago

ABOUT US:

At ShopRunner, our mission is to help retailers thrive by sparking and deepening connections between shoppers and the brands they love.

Our 4.4M members receive exclusive benefits such as free 2 day shipping, free returns, 2-click checkout and special promotions across our network of 140+ retailers. Our retailers enjoy the power of cross-retailer network effects in the form of new customers and increased purchase frequency. It’s a great outcome for everyone for all!

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.

ABOUT THE ROLE:

The ShopRunner Analytics team drives insights in every aspect of our business including marketing, product, partner relationships, and engineering. As a Senior Data Analyst at ShopRunner, you will be a critical part of the team working directly with business partners, handling deliverables, and executing multiple concurrent projects that span across several key areas internally. You are someone that loves diving deep into the data to find solutions!

ABOUT WHAT YOU'LL DO:

  • Become an expert on our internal data and systems and well as our partners’ business as it relates to ShopRunner
  • Be hands-on with data: analyzing customer behavior, merchant performance, and test results.
  • Work cross-functionally to support experimentation and new initiatives, such as building a personalization platform or a customer lifetime value prediction engine
  • Be the translator between business and technology for analytics needs such as data instrumentation requirements and prioritization of data quality issues.
  • Make recommendations for actions to be taken based on your analyses, such as identifying marketing or product feature opportunities
  • Identify data issues and drive improvements in data hygiene
  • Create dashboards, reports, and visualizations to communicate analysis results.
  • Present your analyses and insights to all levels of the company, clearly and concisely

ABOUT WHAT WE'RE LOOKING FOR:Required:

  • You have 3+ years of experience as a marketing/product/data analyst in a consumer-facing company
  • You have a BS in a relevant technical field such as Computer Science, Engineering, Mathematics, or Statistics
  • You have a solid foundation with analytics, deep understanding of the details of solving data problems, and strong critical thinking skills
  • You have experience working directly with stakeholders and communicating complex results
  • You are able to work independently and drive your own analytics projects
  • You are a strong performer at SQL and Excel for querying and manipulating large volume of data for analysis and visualization
  • You have experience with crafting dashboards/reports using Business Intelligence tools such as Tableau, Qlikview, Looker, etc.
  • You are passionate about the opportunities in a startup and unfazed by the ambiguity and dynamic culture that come with it
  • You are enthusiastic, 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

We want you to bring your whole human self to work every single day. We accept you for who you are and 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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Technology we use

  • Engineering
    • JavascriptLanguages
    • PythonLanguages

Location

350 N LaSalle - STE 500, Chicago, IL 60654
350 N LaSalle - STE 500, Chicago, IL 60654

Perks of working here

401(K) Matching
Casual Dress
Dental
Generous PTO
Health Benefits
Generous Parental Leave
Tuition Reimbursement
Vision
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