Data Analyst - Matching

eHarmony is a growing, global technology company built on the belief that marrying computer science and relationship psychology can change the way people find their most significant relationships. Do you want to bring happiness to people's lives while working with amazingly talented colleagues?

We're looking for innovators and problem solvers who are passionate about taking on the biggest of challenges. We were the first to introduce matchmaking into the online dating space, and we do it better than anyone else. We're the Netflix where your movies have to like you back; we're the LinkedIn where you love your connections; and we're the place long-lasting, meaningful relationships are built online. How much of an impact do we have? Nearly 5% of all marriages in the U.S. are created by eHarmony. That's 271 marriages per day.*

eHarmony is pre-IPO, well-funded and profitable. In 2011 were named #23 on the list of Business Insiders' 100 World's Most Valuable Start-Ups. We have more than 33 million registered users spanning across 150 countries and have launched country-specific services in the United Kingdom, Australia, Brazil and Japan and through our affiliation with eDarling, have a presence in 11 countries throughout continental Europe. Our competitive compensation package includes a base salary, discretionary bonus, stock options, free drinks and snacks, ping pong, video games and an on-site chair masseuse. Our 65,000 square foot headquarters is located in Santa Monica, CA, just blocks from the Pacific Ocean.

We regularly host Meetups for the Los Angeles Tech Community, with talks given by top technology experts. Videos of our Meetups are available at: talks.eharmony.com/

As part of the eHarmony Matching team, the Matching Data Analyst will be responsible for generating tactical analyses and insights to support the operation and improvement of eHarmony's matchmaking and delivery systems. Are you excited by the prospect of diving into our Netezza Twinfin data warehouse and figuring out what can make our system delivering millions of matches a day to hundreds of thousands of users even better? This position reports to our Senior Director of Matching Research and Development.

Responsibilities:
You will drive key tactical and strategic decisions by leveraging your skills in finding causal relationships amid chaos, simplifying the complex into the comprehensible, monitoring trends over time and thinking on your feet. You will generate and present reports and develop requirements for dashboards. You will understand descriptive and simple inferential statistical techniques and applications, database analysis tools and techniques (including SPSS, SQL, and Excel). You will use your organizational skills to facilitate the coordination and completion of multiple and varied projects, as well as written and oral communication skills to allow for clear and concise presentation of conclusions and recommendations to a variety of audiences.

Required Skills:

• B.A./B.S. with strong quantitative training (statistical training preferred)
• Strong skills using SQL, Excel and some statistics package (SAS, SPSS, S, R, etc.)
• Knowledge of visual techniques for data analysis and presentation
• Experience in the analysis of large data sets to find useful relationships across time (data forecasting)
• Strong grasp of basic statistics (the ordinary least-squares linear regression model, the ideas behind hypothesis testing/sampling distributions, and simple descriptive statistics)
• Proven experience in a customer-focused role, building relationships with key internal customers
• Ability to formulate quantitative approaches to address business questions
• Ability to complete analysis and deliver results in a timely manner
• Excellent communication and interpersonal skills
• Demonstrated ability to work effectively across multiple projects

• MBA, MA or MS in applied quantitative or statistical methods
• 4+ years experience as a data analyst with extensive SQL expertise
• 4+ years of experience with SAS, SPSS, S, S-Plus, R, RATS, SysStat, or similar statistics package.