Data Analyst
PayScale, Inc. - Seattle, WA

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What would you do if you had over 457,000,000 facts about workers around the world-how they are paid, where they work, their commute times, benefits, years of experience, gender, job satisfaction and more? Interested in working with a dynamic, ltidisciplinary, team developing a cutting edge search, taxonomy, and analysis engine, while producing compensation analyses for major media outlets like the New York Times, the Wall Street Journal, Time Magazine, Forbes, Business Week, US News and World Report, Inc. Magazine, ABC News, Yahoo!, BNET, AOL and others? That is the challenge we face at online compensation database and that is the challenge we welcome you to help us tackle.

PayScale has the world's largest online database of detailed compensation profile data coupled with real-time analytics. Data and analytics is our business.

We are looking for a data analyst to join our data sciences and analytics platform team.

Work with our multidisciplinary team developing PayScale's algorithms, taxonomies and surveys.

Participate in creating innovative new analyses of work and compensation, like PayScale's College Salary Report .

Work with media partners and journalists to understand their information requirements.

Select and analyze data sub-sets from the PayScale database of over 35 million profiles, using our real-time data analysis system.

Produce brief reports that summarize complex compensation data understandably for a mass market audience, often on tight timelines.

Technical Qualifications:
BA/BS with significant course work in a quantitative field in science, social science, or mathematics.

Demonstrated ability to write scripts (e.g., to transform, filter, clean data).

Experience answering questions quantitatively.

Well-organized and detail-oriented, with good time management skills.

Able and interested in learning new technologies and methodologies.

Able to work independently in a dynamic, fast-paced, start-up environment.

Some previous computer-based quantitative analysis experience (e.g., SQL, SAS, MathCAD, Mathematica, Excel) a plus.

Personal Attributes

Superior analytical, evaluative and problem-solving abilities.

Process-oriented and meticulous attention to detail.

Excellent written, verbal and interpersonal communication skills.