Senior Analyst, Storefront Advanced Analytics

4 weeks ago

bangalore, India Wayfair Full time

Who We Are:

Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently. 

Wayfair Analytics is the engine that powers an enterprise obsessed with data. The Wayfair websites generate over 100M clicks from the millions of customers that visit our sites every day to discover and purchase home goods. The Advanced Analytics & Insights team is focused on understanding and optimizing customer behavior on the website and mobile application as a key enabler for the company to move fast and iterate quickly on big business problems.

At their core, the Advanced Analytics & Insights team at Wayfair are strong in quantitative analysis, enjoy coding but also want to balance that with their interest in business and applying advanced modeling techniques. They think critically to tackle complex challenges, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. There are significant opportunities for new team members to emerge as leaders, taking on additional projects and responsibilities with strong performance.

What You’ll Do:

  • Construct optimised code that massages information from multi-terabyte data sources including sales, clickstream, logistics, product, and customer databases to deliver business insights and recommendations.
  • Collaborate with all facets of the organization including product management, engineering, and creative design to identify the most impactful ways for data and analytics to drive decision making and accelerate profitable growth.
  • Become the subject matter expert for data, analytics, and testing for your area to ensure accurate and proper interpretation of core business metrics and consumer behavior.
  • Design, execute and analyse A/B tests to make high-impact changes to the customer experience.
  • Perform deep-dive analysis, including the application of advanced analytical techniques, to solve some of the more critical and complex business problems.
  • Develop data visualisations, including reports, dashboards, and analyses in Looker and GBQ to distribute data insights in an easily digestible manner.

What You'll Need:

  • Bachelors in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline; Masters preferred.
  • 2+ years of work experience in a relevant field, such as analytics or data science.
  • Proficient knowledge of a statistical programming language such as Python, R, SAS, or SPSS.
  • Proficient knowledge of SQL (incl. Aggregate functions, joins, .
  • Experience conducting quantitative analyses on large and complex data sets.
  • Experience in leveraging modeling algorithms to derive business insights.
  • Experience with experimental test design such as A/B testing.
  • Experience with data visualization software (. Google Data Studio, Tableau, PowerBI); experience with Looker a plus.
  • Analytical, creative, and innovative approach to solving problems.
  • Strong written and verbal communication.
  • Ecommerce or retail analytics experience a plus.

Assistance for Individuals with Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

Need Assistance?

For more information about applying for a career at Wayfair, visit our FAQ page here. 

About Wayfair Inc.
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