Boxwood Means, a financial services consultancy specializing in the small balance mortgage sector and REIT analysis, is seeking a Data Analyst.
Boxwood maintains several large databases of real estate transactions around the nation as well as financial information on publicly traded equities. We use these data to create market intelligence and forecasts for clients -- principally large banks. The Data Analyst will work directly with clients and principals of the firm to support "off-the-shelf" reports and customized market statistics and forecast reports for clients. The Data Analyst will work with large databases and is expected to be skilled at data manipulation, data cleaning, producing publication quality graphics and tables, and some statistical modeling. Much of the firm's publications involves pulling data from MySQL into R, then producing latex tables (Hmisc) and documents for delivery to clients. In addition, the Data Analyst will conduct independent research and/or data mining as required. This is a telecommuting position. All work is done remotely on Boxwood's servers. Employees are expected to provide their own working environment. Qualifications A strong knowledge of the R (S-plus) programming language and some familiarity with Linux, MySQL, and basic statistical models is required. Experience in producing graphics and latex tables (Hmisc) using R would be helpful. The successful candidate will have a strong attention to detail, be self-motivated, and capable of independent work. We will consider a flexible part-time position or full-time position for the well qualified candidate. Please contact me off-list for additional information: [EMAIL PROTECTED] -- =================================================== Michaell Taylor, Ph.D. Principal Boxwood Means, Inc. Two Stamford Landing Suite 100 68 Southfield Ave Stamford, CT 06902 203.653.4100 ext 2 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
