Statistician Resume Sample Two

999 Main Street, Any Town, NY 99999
999-999-9999
email@gmail.com

William Davis

Solid background in statistics and mathematics.
10+ years of experience on various statistical software including SAS, Excel, SQL, Mat lab, R-S-plus, STATA, and FORTRAN.
10+ years of experience on data analyzing, data mining and modeling.
5+ years of experience on project management.
Self-started, independent, detail-oriented, creative, cooperative and hard-working.

Software: SAS, SQL, Excel, RS-plus, STATA, Mat lab, Fortran, Win BUGS, Access, C, C++, VB, Microsoft Office, Latex
Operating System: Unix, Windows, Linux
Languages: Excellent presentation skills and communication skills

SAS programming for statistical data analysis and data management.
SAS programming for data management and mapping in SQL database.
SAS (BASE, STAT, GRAPH, ODS, SQL, Macros) and R programming:
Generate graphics and data summary tables.
Export statistical analysis results or data listings to RTF, EXCEL, and CSV files.
Conduct statistical data analysis.
Manipulate, merge and create restructured analytical data sets from large-scale database such as Oracle, SQL and SAS.
Generation of annual reports for progression and data safety according to protocols.
Verify data quality and review files for data error correction.

Identified areas exhibiting the retention under performance, as well as evaluated potential causal factors, such as general market conditions, client experiences, discounting and pricing, etc.
Conducted multivariate analysis to identify factors that contributed to differing levels of market penetration. The result was used to provide the office level operational guidance for better assisting clients.
Conducted clustering analysis to differentiate retail offices in an effort to provide more effective marketing.
By using test vs. control methodology, supported the design and implementation of marketing campaigns and conducted program evaluation.

Designed analytic data set specifications, managed and manipulated multiple large data sets using Access Query, SAS SQL, and SAS Macros, performed calculations and summarizations.
Participated in statistical analysis including general linear and nonlinear mixed models, structural equation models, item response theory, and generalized linear models.
Generated data extractions, summary tables and graphical representations in SAS, Excel, and Power Point on assigned projects.
Worked collaboratively with project manager and data manager, contributed to the design of data collection and sample randomization plan, maintained complete documentation following department standard operating procedures.