Location
Oregon State | United States
Job description
Responsibilities
- Work with product partners to find practical solutions to our business problems based on data. This will require an ability to translate problems stated in business terms into quantitative approaches leading to projects starting small and aspiring to grow big if preliminary results are promising
- Set up testing (A/B test or pre-post) to measure performance in the best possible way
- Analyze large sets of data to understand the impact of product changes on the customer journey and to traffic/revenue goals.
- Drive cohort studies and drive analyses to understand customer behavior and find opportunities for improving our product(s)
- Transform scientific/data analysis and communicate business performance in a clear and insightful way to the product teams to facilitate timely and informed decision-making
✅ Must-have Skills
- A Bachelor's Degree in Statistics/Mathematics or quantitative field required (or equivalent experience equivalent)
- 2+ years of experience as a business analyst, data scientist, or related field
- Understanding of statistics, experimental design, and causal inference.
- Excellent SQL skills as well as experience with common data and statistical toolkits such as R, Python, PySpark etc.
- Expertise with business intelligence and/or data visualization tools such as Tableau, MicroStrategy, etc.
- Prior experience in performance measurement, creatively applying regression techniques / modeling, optimization techniques, A/B testing, etc. for business applications
- The skills to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical partners
- An ability to spot and pursue opportunities as well as to translate high-level directions into practical projects and lead/drive their completion with minimal supervision.
- Excellent written, verbal, and social skills with the ability to communicate with all levels in the organization in a clear, timely and effective manner
The Search Engine Optimization (SEO), Site Navigation and Browse teams build features that optimize the way search engines crawl, index and rank eBay pages. We help our customers easily find and reach relevant eBay pages when searching on search engines like Google, Bing, Yahoo, etc. With literally billions of listings on eBay globally at any time, the scale at which eBay has to consider search engine optimization puts our team in a unique position to innovate and provide immediate value to the business.
The SEO, Site Navigation and Browse teams work among product, operations, development, data science and analytics as well as other cross-domain organizations to build scalable and highly-available business solutions that are used by millions of eBay users across the globe every day. We are responsible for driving organic traffic that represents billions of dollars worth of goods and services bought on eBay. We are looking for an experienced Data Analyst to join the Buyer Taxonomy and Site Navigation team to assess the opportunity and measure the impact of projects related to changing the browse navigation experience on eBay. Your focus will be supporting various product launches to measure the impact on customer behavior and SEO (search engine optimization). In addition to robust statistical knowledge, it is vital to have strong intellectual curiosity, and a passion for achieving practical business impact. Skills in quantitative analysis, problem definition, and an attention to detail are required.
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