Data Analytics Analyst - Winter 2019 or Summer 2019 Full-Time Start
Wayfair Analytics is the engine that powers an enterprise obsessed with data. We move fast, iterating quickly on big business problems. We work smart, applying technology to accelerate unlocking insights and providing outsized value to our customers. We swing big, knowing our customers won’t benefit from micro optimizations. We treat data as a resource; making information globally accessible and eliminating silos. If you want to join a team with these traits in their DNA, read on.
Each Data Analyst is aligned with one or more groups, such as Marketing, Logistics, Finance, or Customer Service and partners with those teams to help them achieve their goals. Whether you’re measuring site performance, analyzing customer behavior and trends, data mining, or optimizing SQL queries, you will be working with cutting edge technology and multi-terabyte data sets.
At their core, Data Analysts at Wayfair are strong in quantitative analysis, enjoy SQL coding but also want to balance that with their interest in business. 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.
Responsibilities include:
- Consulting with internal customers (e.g., Marketing, Logistics, Customer Service) to develop analyses that lead to actionable insights that accelerate profitable growth
- Wrangling data from multiple sources including sales, inventory, product, and customer databases to create integrated views that can be used to drive decision making
- Working with several large and complex SQL databases
- Designing and building reports and analyses in Excel, Tableau and other visualization and analysis tools
Qualifications:
- BA/BS in either Economics, Mathematics, Statistics, Computer Science, Physics or another quantitative social science field strongly preferred
- A class in a computer programming language is a strong plus
- Experience with Excel (pivot tables etc.) and SQL preferred
- Excellent interpersonal and team building skills
- Positive, people-oriented, and energetic attitude
- Analytical, creative, and innovative approach to solving problems
Ideal Candidate: An aspiring Data Analyst with a quantitative background who has a strong desire to make an impact on business decisions with data. You appreciate the power of a data-driven environment and predictive analytics!