eBay
Internet Marketing Analysis Manager

Be a part of the future of online advertising!

This role will utilize business, problem solving, analysis, data mining, and data management skills to develop key strategic quantitative analysis for eBay's Internet Marketing and Advertising team. Analysis will generally be project based and complex in nature, where large volumes of data are synthesized into actionable recommendations using advanced analytics. In addition to delivering new business insights through execution of analytic projects end-to-end, this role will have a strong data management component. This will involve ensuring quality data is accessible and available for all of eBay’s Marketing teams without redundancy; this will require close interaction with the business to determine requirements. Finally, this role will use complex analytics and management skills to provide strategic guidance and recommendations to the senior leadership team.

Job Requirements

Analysis

• Manage analytics projects with focus on yield optimization for Internet Marketing/Advertising across eBay properties and channels.

• Evaluate large and complex data sets, and apply advanced quantitative approaches in hypothesis evaluation.

• Develop new frameworks, models and processes that operationalize key insights.

• Become expert in leveraging the full breadth of eBay data sources and analytic resources.

Project Management

• Partner with various groups in the organization to design and execute projects.

• Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.

Data Management

• Work closely with the business to determine data usage requirements and ensure data is understood and used effectively by consumers.

• Manage large and complex data sets; ensuring data is accurate, accessible and consumable.

• Drive the coordination of synchronous data collection through relationship building and end to end projects, to reduce data redundancy and improve accuracy.

Communication

• Develop relationships with other analytic groups across the organization to share best practices, define new standards and identify opportunities for collaboration.

• Act as the liaison between analytic groups and the data service team.

Basic Qualifications

• At least 5+ years experience in SQL, understanding of data warehouse architecture.

• 5+ years of experience working on or managing data centered projects.

• Experience utilizing various statistical techniques in SAS to develop algorithms and predictive models a plus. 

• Candidate must possess strong interpersonal and presentation skills as well as demonstrated skills in fact based analysis, including the ability to translate complicated data concepts for business users.

• High energy and a desire to work in a results-oriented, fast growth cross functional environment.