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Manager/database Analysis Resume

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New York, NY

SUMMARY

  • Senior SAS Programmer/Analyst and Statistician with over twenty years of experience in a wide variety of industries including economic research, telecommunications, market research, clinical and non - clinical medical research, and insurance.
  • Extensive experience transforming data from various formats (Excel, CSV, ASCII) into SAS datasets, cleaning and validating data, manipulating very large datasets (tens of millions of records), and outputting datasets to those formats.
  • Extensive experience developing complex SAS programs and macros. Ability to manage multiple, competing priorities and deliver results within time constraints.

TECHNICAL SKILLS

  • SAS
  • Microsoft Office
  • MS Excel
  • MS PowerPoint
  • MS Word
  • Regression Analysis
  • Survival Analysis
  • Survey Development

PROFESSIONAL EXPERIENCE

Confidential, New York, NY

Manager/Database Analysis

Responsibilities:

  • Performed monthly analysis for HWOL (Help Wanted OnLine®), a database tracking job ads across the nation. Received data from WANTED Technologies and merged them with employment and unemployment data from BLS (Bureau of Labor Statistics).
  • Performed analysis in SAS; analysis involved seasonal adjustments, trends, and supply/demand rates. Developed complex SAS macros to perform various analyses across geographic areas and occupations and Excel macros to perform the same action across all spreadsheets in a workbook.
  • Wrote a monthly release to detail and elaborate on monthly changes in labor demand and supply/demand rates in the nation, states, metropolitan statistical areas, and occupations.
  • Performed analysis of STEM (Science, Technology, Engineering, and Math) occupations to compare demand and supply/demand rates for technology workers to those for other labor-market segments. Provided analyses in response to ad hoc requests from clients.

Confidential, New York, NY

Statistician

Responsibilities:

  • Participated in survey design in Spanish as well as English. Performed customer satisfaction analysis of survey data by using SAS. Analysis involved standard statistical techniques including logistic regression.
  • Used SPSS Answer Tree to map decision flow of models. Utilized Satmetrix NPS® (Net Promoter Score®) to measure customer loyalty. Designed complex SAS macros and instructed others in their use. Presented data and results in Excel and PowerPoint.

Confidential, New York, NY

Associate Director

Responsibilities:

  • Used SAS to respond to various inpatient and outpatient requests from network hospitals. Requests involved patient counts, bed utilization, and patient diagnoses.

Confidential, New York, NY

Project Manager

Responsibilities:

  • Performed regression modeling and various statistical and financial analyses to develop credit-screening criteria for the Music Club in order to improve profitability.
  • Worked primarily on direct-mail solicitation strategy. Used SAS and Excel.

Confidential, Boston, MA

Biostatistician

Responsibilities:

  • Programmed in SAS to perform data analysis of clinical trials to evaluate and compare various stents in cardiovascular studies. Used Access to extract data and Excel and PowerPoint to present data.
  • Developed extensive SAS macros to obtain summary data on continuous and dichotomous variables and perform survival analysis.

Confidential, Boston, MA

Systems Analyst

Responsibilities:

  • Designed and implemented software solutions using SAS to handle casemix and other health care data requests.
  • Provided systems analysis and programming support for the Senior Care Plan and several other ongoing projects.

Confidential, Brookline, MA

Research Associate

Responsibilities:

  • Performed SAS programming on large datasets for pharmaceutical studies. Designed tracking and data-entry systems in PAL, the Paradox Application Language, for quality-of-life studies.

Confidential, Boston, MA

Biostatistician

Responsibilities:

  • Performed extensive data analysis for RDOG (Radiology Diagnostic Oncology Group) cancer studies: organized and formatted data, programmed in SAS, applied various statistical concepts, communicated results orally, and summarized study results for publication.
  • Also used S-Plus for programming and graphics. Focused on sensitivity, specificity, and ROC (receiver operating characteristic) curves. Worked with radiologists and data managers on protocol development and form design.

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