Technical Analyst , Fintech & Loyalty
An Important Note about Wayfair's In-Office Policy:
All Boston-based corporate employees will be in office in a hybrid capacity. Employees will work in the office on designated days, Tuesday, Wednesday, and Thursday, and work remotely the other 2 days of the week.
At this time, Wayfair does not provide sponsorship for employment authorization for this position.
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 Fintech & Loyalty Analytics team is focused on understanding and optimizing customer behaviors related to Financing, Loyalty, Payments, and Fraud products (collectively called Fintech & Loyalty).
At their core, the Fintech & Loyalty Analytics 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:
- Become the subject matter expert for data, analytics, and testing to ensure accurate and proper interpretation of core business metrics and consumer behavior.
- Collaborate with all facets of the organization including product management, engineering, and commercial partners to identify the most impactful ways for data and analytics to drive decision making and accelerate profitable growth.
- Perform deep-dive analysis, including the application of advanced analytical techniques, to solve some of the more critical and complex business problems including website funnel progression, customer segmentation and targeting, and risk management analytics.
- Comprehend, extract, and massage information from multi-terabyte data sources including sales, clickstream, logistics, payment, fraud, and customer databases to deliver business insights and recommendations.
- Develop data visualizations, including reports, dashboards, and analyses in Looker to distribute data insights in an easily digestible manner to over 17,000 global employees.
- Design and build solutions to empower stakeholders across Wayfair to self-serve analytical needs.
You Are A Match Because You Have:
- Completed a Bachelors or Masters in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, Management or other quantitative discipline in 2023.
- Proficient knowledge of SQL (incl. Aggregate functions, joins, etc.) or other structured programming language(s) (e.g. Python, Java, C)
- Experience in an analytics, business intelligence, data science or engineering role performing quantitative analysis
- Hands-on experience conducting quantitative analyses on large data sets; experience with Excel or Google Sheets (pivot tables, vlookup, etc.) and Looker a plus.
- Analytical, creative, and innovative approach to solving problems
- Strong written and verbal communication
- Ecommerce or retail analytics experience a strong 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.
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