MTS 1, Business Systems Analyst

eBay•San Jose, CA

1d•$174,304 - $229,600•Hybrid

About The Position

eBay, Inc. seeks an MTS 1, Business Systems Analyst in San Jose, California. The role designs and implements data-driven solutions to optimize research operations, using SQL, data engineering, and analytics to improve efficiency and decision-making. It creates and maintains interactive dashboards for tracking research metrics and enabling self-service analytics, and develops automated processes for participant recruitment, data integration, and survey distribution while complying with privacy regulations. The position also involves retrieving data and contacting users for complex recruitment needs, collaborating with research, analytics, legal, and engineering teams, and leading automation initiatives for data ingestion, reporting, and compliance checks. Partial telecommuting is permitted from within a commutable distance. The position is scheduled for 40 hours per week, Monday through Friday, from 9:00 a.m. to 5:00 p.m. The salary range is $174,304 to $229,600 per annum. Applicants must be legally authorized to work in the United States without sponsorship.

Requirements

Bachelor’s degree or foreign equivalent in Business Analytics, Information Technology, or a related field.
Three years of experience in the job offered or a related occupation.
Three years of SQL experience.
Three years of Python experience.
One year of R experience.
Three years of descriptive analytics experience.
Three years of predictive analytics experience.
Two years of Hadoop experience.
Three years of data visualization/Tableau experience.
One year of experience in online commerce and digital payments.
Two years of data mining/ETL at scale experience.
One year of web data analytics experience.
One year of data storytelling experience.
One year of regulatory compliance management experience.
Must be legally authorized to work in the U.S. without sponsorship.

Responsibilities

Design and implement data-driven solutions to optimize research operations using SQL, data engineering, and analytics.
Create and maintain interactive dashboards to track research metrics, improve visibility, and enable self-service analytics for cross-functional teams.
Develop automated processes for participant recruitment, data integration, and survey distribution in compliance with privacy regulations.
Pull data and reach out to users for complex recruits.
Collaborate with research, analytics, legal, and engineering teams to improve data accessibility, research workflows, and recruiting processes.
Lead initiatives to automate data ingestion, reporting, and compliance checks, reducing manual effort and improving operational efficiency.