Data Analyst (Matching)

As part of the eHarmony Product team, the Matching Data Analyst will support the design, development and execution of matching related predictive models and analytics. You will perform data mining and analysis to identify distinct, actionable user segments and recommend revenue-enhancing strategies. This position reports to our Director of Match Satisfaction.

Responsibilities:
The ideal person for this position will be able to develop and maintain both user segmentation and predictive models and profiles to improve system performance; develop predictive models for key user groups to improve match satisfaction; use time series and/or regression modeling to improve forecasts; and investigate and apply cutting-edge data modeling tools and techniques (e.g., neural nets and data mining). You will leverage your knowledge of descriptive and multivariate statistical techniques and applications, database analysis tools and techniques (including SAS, SQL, and Excel). 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. in business or mathematics (preferable statistics, economics or marketing) or equivalent
• 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
• 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 or MS in applied quantitative or statistical methods
• 2+ years of experience in a marketing environment, including customer segmentation analysis, circulation planning, list selection, forecasting, and database management.