Data Science - Analyst 4

Posted 7 Days Ago
San Jose, CA
In-Office
145K-193K Annually
Mid level
eCommerce • Retail
The Role
Perform data operations, analyze large datasets, develop reports, and optimize marketing strategies using advanced data techniques and tools.
Summary Generated by Built In

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.

About the team and the role:

eBay, Inc. seeks Data Science - Analyst 4 in San Jose, CA 

What you will accomplish:

Job Duties: Perform day-to-day data operations, including ingestion, analysis, modeling, and distribution using SQL, R, and Python, to support marketing initiatives. Collaborate with marketers and product managers to identify key performance metrics, create reports, and perform analytics. Develop standardized reporting packages in the Tableau environment to assess the effectiveness and ROI of advertising strategies. Analyze large datasets to identify usage patterns and communicate findings to marketing, product management, engineering, and finance teams. Design optimal data architecture for efficient management of marketing data and automate system controls for campaign operations. Utilize eBay’s extensive databases for data extraction and transformation to identify solutions that enhance overall campaign performance. Conduct A/B testing to evaluate process enhancements, perform data modeling to forecast outcomes, and present analysis. Focus on causation, attribution, and incremental lift to assess the marginal benefits against costs of initiatives. Determine KPIs, data, features, and events to evaluate success and its causes. Examine existing marketing campaigns for scaling and efficiency opportunities. Utilize experimentation, predictive modeling, and data storytelling to optimize marketing efforts and enhance user engagement. Partial telecommuting permitted from within a commutable distance.

What you will bring:

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field plus two years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering or a closely related field plus five years of experience in the job offered or a related occupation.

Special Skill Requirements:

1.    Python or R
2.    Advanced SQL for complex database querying and optimization.
3.    Data modeling techniques to structure and organize data efficiently.
4.    Data and analytics methods using BI tools such as Tableau
5.    Design A|B test experiments
6.    Advanced Excel
7.    Business analysis acumen
8.    Forecasting
Salary: $144,991.00-193,300.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

 

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Top Skills

Advanced Excel
Python
R
SQL
Tableau
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The Company
HQ: San Jose, CA
26,035 Employees

What We Do

eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world.

We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.

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