Work closely with internal partners to deliver results for eBay’s Internet Marketing efforts. 
The focus of this role will be to organize information from multiple data sources and perform quantitative analysis for the Internet Marketing and Internet Marketing Solutions teams.
The aim of the analyses will be to improve the efficiency of marketing spend by designing and implementing algorithms that improve eBay internal processes to deliver data to marketing partners such as Shopping.com, Shopzilla, and others, and/or identify levers to drive more efficiency of eBay’s internet marketing efforts in Shopping Comparison sites.

 

Perform complex data manipulation and synthesize multiple streams of data. Extensive use of SQL on a data warehouse environment, use of the Unix shell scripting, and MS Excel/PowerPoint will be required.  

 

Partner and work with Information Management and Engineering teams on the implementation and automation of derived intelligence to support the global business marketing operation using business application tools like SAS/SQL.

 

Design and support the implementation of processes to minimize data quality risks and proactively identify potential data issues. Work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercise independent judgment in methods, techniques and evaluation criteria for obtaining accurate and consistent data.

The candidate must show ability in project leadership and executing on multiple projects and tasks. This requires demonstrated technical skills in data manipulation, data architecture, and data organization & consolidation. Interpersonal, communication skills, and the ability to work in a diverse team environment is a must.

 

Work with a variety of cross-functional teams to develop and execute initiatives. Develop and manage relationships with internal and external partners globally and across different eBay properties.

 

Strong technical skills with the ability to translate complex transactional data into valuable analytical and insightful information.

 

The candidate must also excel in strategic planning, project management, business analysis, & problem solving.

 

Proficient using ANSI SQL on distributed data warehouse environment, Unix shell scripting and/or other scripting languages, Microsoft Excel, Access, and PowerPoint. Knowledge of key financial calculations required.

 

Resolve complex data issues in creative and effective ways. High self-motivation for success in a fast-paced, dynamic environment.