Data Science Analyst 2, Buyer Success

5 months ago

Toronto, Canada eBay Full time

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

** Must Reside in Ontario **

** Hybrid schedule, 1-2 days a week in office at Toronto Site **

**About the team and role**:
Our Buyer Success Analytics Team are setting the strategic direction of eBay: our ambition, where we play, and how we win in the market.

We are responsible for deeply understanding the needs of our core buyers and sellers and crafting the strategies that will differentiate eBay relative to our competitors. We work very closely with product, technology, and regional business teams to ensure the strategy is translated into action across the end-to-end customer experience.

**What you will accomplish**:
This position will be based in Toronto, Canada and have the outstanding opportunity to influence decision making of the Buyer Experience (specifically focusing on the View Item page) product team’s roadmap with their insights and thought leadership.

Looking for deep technical skills to turn big data into concrete insights, but also big picture thinking to connect the dots and evaluate how the insights impact eBay’s ecosystem.

**What you will bring**:

- Deep technical skills with hands-on ability in using SQL, R, Python, Tableau, etc.
- Strong analytical foresight with thought leadership and critical thinking.
- Excellent articulation and communication skills - ability to explain sophisticated analyses and insights into simple terms.
- Strong quantitative background with at least 2 years experience and a Bachelor’s degree in Computer Science, Math, Economics, Physics, Engineering. Master’s degree or equivalent experience preferred.
- Good experience with both descriptive and inferential statistics - ability to build basic prototype models.
- Experience with site experimentation (A/B testing).
- E-commerce experience and customer segmentation knowledge a plus.

**#LI-BB1**

Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.

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