Data Analyst

Brunswick, ME

Wayfair Inc. logo

Wayfair Inc.

Shop Wayfair for A Zillion Things Home across all styles and budgets. 5,000 brands of furniture, lighting, cookware, and more. Free Shipping on most items.

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At Wayfair, data is an essential tool for unlocking process efficiencies and driving projects with strategic business results.  As a member of the Order Loss Prevention Team (OLP), you will determine the data requirements, obtain and clean the relevant data, and conduct the analysis to explore business hypotheses supporting topics ranging from the customer experience to value recovery.  Additionally, you will support the development of Key Performance measures and visualization to drive individual and team performance across the Order Processing, Credit Recovery, and Fraud teams. 

What You'll Do:

  • Build and execute routine and adhoc data queries in SQL, Google Big Query
  • Build and maintain workbooks (excel/Google Sheets) to manage work prioritization
  • Ensure data quality management practices (accuracy, completeness, consistency, interpretability, and timeliness) on dataset less than 1 TB.
  • Consult with stakeholders to build comprehensive data requirements to support opportunity exploration, business plan development, and strategic initiative creation. 
  • Train, coach, and mentor team members to build analytical capacity of the organization
  • Present data research and analysis results with leaders and stakeholders throughout the organization
  • Serve as the subject-matter expert over data sources, with deep insight into how the data and work processes interact to create understanding
  • Liaise with engineers to stay abreast of company-wide data management updates, proactively advise leadership on changes, and mitigate impact on data driven decision-making
  • Prioritize, communicate, and pivot workload based on dynamic business requirements
  • Stay connected with data experts within Wayfair to ensure best practices
  • Report to senior management on team performance, project progress, and supplier trends

What You'll Need:

  • Associate or Bachelor Degree preferred or comparable experience in data analysis
  • Ability to work with minimal supervision, prioritizing multiple data projects simultaneously to deliver on-time
  • Ability to multitask and shift priorities quickly and often
  • Strong and consistent attention to detail
  • Strong analytical/quantitative skills with an ability to communicate complex information
  • Problem-solving mindset and a comfort working through ambiguity
  • Ability to partner and work well with leadership and motivate frontline team
  • Experience working both within a team and as an independent contributor
  • Self directed and motivated life-long learner, focused on advanced data tools and concepts
  • Strong expertise in MS Excel and SQL / Big Data Query
  • Experience with visualization software Google’s Data Studio

About Wayfair Inc.

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

Job tags: Big Data Research SQL
Job perks/benefits: Career development
Job region(s): North America
Job stats:  8  3  0
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