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Boxed // mobile bulk shopping
 
Product, Full Time    New York City    Posted: Thursday, October 22, 2020
 
   
 
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About Boxed

Boxed is a rapidly growing ecommerce retailer built on the foundation of a world-class proprietary technology platform. With 7+ years of evolution, iteration, & successful disruption of the U.S. wholesale club industry, Boxed has developed a comprehensive tap-to-ship Ecommerce tech stack few other companies can boast. With Boxed, customers can have their household, pantry, & personal care essentials delivered to their home or office in 2 days or less with no membership fee. Our goal is to leverage our technology & data to deliver a superior shopping experience to our customers via our web & mobile app platforms. 

Our office is a dynamic, collaborative family of individuals. At our core, we are a data-driven, customer-centric technology company, & data truly is at the center of everything we do. We are a vibrant, fun & close group of engineers, product managers, data scientists, analysts, & operations specialists with a passion for driving superior value & experience to our customers. 

About the team

The Data Analytics & Strategy teams mission is to empower operators with accurate & actionable data, robust tools, & strategic insights to unlock value for the business. We believe in using data to inform every decision, & we work hard to ensure that every dollar invested is optimized to generate the best outcome for the company. This position will play a crucial role in revealing & enabling revenue growth, margin expansion, & maximization of the companys aggregate customer lifetime value. The team will also take an active role in driving performance & instilling a culture of transparency & accountability.

About the role

We are looking for a high performing Data Product Analyst to join our Data Analytics & Strategy team. The ideal candidate will thrive in a fast-paced & high-growth organization, & possess strong technical & quantitative capabilities with a natural ability to build relationships internally in order to structure & deliver superior strategic insights in a scalable manner. This opportunity has strong upside & the ability to expand along with the companys growth. This position will report directly to the Senior Director of Analytics.

Role & Responsibilities

  • Work with the cross-functional Data team, inclusive of Product Managers, Data Scientists, & Data Engineers to support the advancement of Boxeds analytics engineering framework including scoping of new data models, rigorous documentation of data models & schemas, & standardization of processes & workflows throughout the broader data organization
  • Leverage SQL, DBT, GitHub & other tools to build upon Boxeds analytics capabilities in our centralized data warehouse, including: advanced data modeling, standardized views & dashboards, automated reporting, & ad-hoc analytics requests
  • Partner with cross-functional teams such as Marketing/Product/Merchandising/Operations & Customer Service to deliver standardized, automated, & actionable insights via business intelligence tools
  • Analyze results of A/B tests across the platform leveraging proprietary tools, SQL, & statistical models & synthesize clear recommendations for business unit owners
  • Act as a strategic thought partner for cross-functional teams to both generate & evaluate the viability/impact of new tests & initiatives 
  • Support migration of Boxed data warehouse from Redshift to Snowflake
  • Assist with development & maintenance of the data analytics & Business Intelligence capabilities, systems & processes including RFP processes for new tools & upgrades to existing tools (both 3rd party & proprietary)

Requirements

  • 3-5 years of experience in a quantitative, analytically focused role in analytics, data science, or operations; experience in Ecommerce and/or tech-enabled services preferred; experience in start-ups or growth stage businesses a plus
  • BS/BA degree in data analysis, analytics, data science, economics, mathematics, finance, engineering or a related discipline strongly preferred
  • Demonstrated fluency in SQL, relational databases, data modeling tools (e.g. DBT), data warehouses (e.g. Redshift, Snowflake), GitHub, business intelligence tools (e.g. Periscope, Domo, Looker, Tableau), & 3rd party data analytics providers (Google Analytics, Segment, Branch etc.)
  • Familiarity with Python, Command Line, & statistical programming (R, SAS, Stata), regression modeling and/or predictive modeling a plus
  • Advanced skills with Excel & PowerPoint
  • Experience applying advanced analytical frameworks to inform business strategy & drive superior results
  • Strong interpersonal & communication skills, including the ability to present information & interact effectively across all levels of the organization
  • Sound business judgment; high level of organization with ability to manage multiple projects; track record of taking ownership in a fast-paced, unstructured environment

Benefits & Perks

  • Working with smart, intellectually curious & generally awesome people
  • Competitive salary
  • Stock options
  • Unlimited vacation
  • Full healthcare benefits
 
 
 
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