Data Science - Analyst 2

eBay•San Jose, CA

1d•$174,304 - $221,100•Hybrid

About The Position

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 2 in San Jose, CA

Requirements

Master’s degree, or foreign equivalent, in Computer Science, Business Analytics or a closely related field plus two years of experience in the job offered or a related occupation.
Proficiancy with Python and SQL, including data manipulation, visualization, and working in common analysis environments (2 years)
Foundational understanding of statistics, experimentation, and interpreting data to answer business questions (2 years)
Experience with core ML concepts and simple models, along with basic model evaluation (2 years)
Experience with cleaning, transforming, and preparing datasets for analysis or modeling(2 years)
Experience with providing insights, visualizing results, and connecting analysis to business needs (2 years)
Must be legally authorized to work in the U.S. without sponsorship.

Responsibilities

Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
Utilize statistical techniques to analyze AB test data using SQL, and identify patterns, trends, and insights that can help in making informed decisions.
Perform exploratory data analysis to discover future opportunities and generate actionable insights for improvement.
Regularly monitoring health metrics and identify trends, patterns, and anomalies in the data, and determining the root cause of any abnormal fluctuations.
Develop and maintain AutoETL pipeline and automated monitoring dashboards using Tableau.
Investigate and resolve data quality issues in a timely manner.
Create data visualizations and reports to communicate findings and trends to stakeholders.
Develop and deliver presentations to stakeholders on data-driven insights.
Support the development and implementation of data-driven strategies.