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Quantitative Product Analyst

Job Mode :
Published On :2008-10-25
Last Application Date :0 days remaining (2009-00-00)
Category :Other (Other)
Pay Rate :Negotiable
Location :San Francisco
City :San Francisco
Country :USA
Job Posted By:Job Search Engine
Jobs Publisher's Website:

Job Description


Quantitative Product Analyst at Slide in San Francisco, CA

Want to be a part of the next big internet success story?
Want to be a tech pioneer alongside artists, athletes, musicians, and talent from around the globe?
Then you want to be at Slide.

About Slide:

We are the #1 developer of applications on social networks.

* Our applications, like Slideshow, FunSpace, SuperPoke! and Top Friends, are as technically deep and sophisticated as they are popular.
* Our 170 million users make us one of the top 10 web properties in the world; that's serious scale.
* Slide was launched by Max Levchin, who co-founded and sold PayPal for $1.5 billion.

Slide is a data driven company and we are looking for a Quantitative Product Analyst with exceptionally strong quantitative and analytical skills to perform detailed quantitative analyses and use them to guide product and business development.

Responsibilities:

* Conduct deep data driven analyses that answer business critical questions
* Perform both regular and ad-hoc analyses using both Python and MySQL to manipulate large amounts of data
* Work closely with product managers to ensure that all key metrics are being tracked with each product release
* Gather, track and analyze key performance metrics to provide explanations for significant changes and drive overall business growth

Qualifications:

* 3-5 years experience in a relevant field such as quantitative market research, data-mining or product management in a high-growth tech company.
* The drive to work in a fast-paced, start-up environment
* A strong interest in online social networks and network/user dynamics
* Superior intellectual, quantitative, and analytical abilities
* A degree or similar experience in a quantitative field is preferred (statistics, engineering, computer science, etc.)

Apply Now! for this Job
This job was found at http://www.slide.com/static/jobs.


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