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Sas Data Analyst Resume

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Chicago, IL

PROFESSIONAL SUMMARY

  • 8 years of experience as SAS developer in health care and clinical industries.
  • Strong experience in SAS/BASE, SAS/GRAPH, SAS/STAT, SAS/REPORT, SAS/MACRO SAS/ODS, SAS/ACCESS and PROC SQL.
  • Experience in Data Warehousing including Requirements Gathering, Gap Analysis, Process Mapping, ETL, and Testing and Validation.
  • Advanced knowledge of data manipulation of large data sets.
  • Good command in Creating graphs using PROC GPLOT and GCHART permanent formatted SAS data sets for present and future analysis, infield several data sets and sorted and merged by common variables.
  • Intermediate knowledge of R, Python and statistical methods.
  • Ability to collect and generate requirements from users, communicate and work with people at different levels of management

PROFESSIONAL EXPERIENCE:

SAS Data Analyst

Confidential, Chicago, IL

Responsibilities:

  • Over 7 plus years of experience as SAS developer in health care and clinical industries.
  • Strong experience in SAS/BASE, SAS/GRAPH, SAS/STAT, SAS/REPORT, SAS/MACRO SAS/ODS and PROC SQL.
  • Experience in Data Warehousing including Requirements Gathering, Gap Analysis, Process Mapping, ETL, and Testing and Validation.
  • Advanced knowledge of data manipulation of large data sets
  • Intermediate knowledge of R, Python and statistical methods.
  • Ability to collect and generate requirements from users, communicate and work with people at different levels of management

Environment: Windows, SAS 9.4, SAS/BASE, SAS/SQL, SAS/Macro, SAS/STAT, SAS/Graph, SAS/Report, SAS/ODS.

SAS Consultant

Confidential, Chicago, IL

Responsibilities:

  • Worked as a team member in the operations division of SAS team for generating ad - hoc reports for fraud detection team in batch processing.
  • Constructed SAS data sets from oracle database using JCL.
  • Produced ad-hoc reports in SAS for the fraud detection department from Oracle database with DB2.
  • Shouldered the responsibility of producing periodic reports for the operations department
  • Analyzed data with SAS PROCS, and SAS/STAT.z

Environment: IBM mainframes, MVS, TSO, ISPF, DB2, JCL, and COBOL, ORACLE.

SAS Data Analyst

Confidential, Chicago, IL

Responsibilities:

  • Worked in the Claims Processing Department as Programmer/Analyst to provide programming support for Insurance Claims Processing.
  • Created SAS data sets by accessing remote clients by SAS CONNECT and SAS ACCESS.
  • Developed Shell Scripts for accessing of remote server for Data Extraction and File Management.
  • Extracted data from DB2 database by using SQL procedures.
  • Performed Data Transfers from Mainframe to PC and created ad-hoc Reports.
  • Techniques used in SAS include file merging, frequency and Report, transpose,
  • Summary, and Means Procedures, writing to external files.
  • Performed Statistical Analysis using SAS STAT procedures such as Regression, ANOVA, and Multivariate Analysis.

Environment: Windows 2000, UNIX, OS 390 MVS, SAS PC V8, MS-Excel, SAS ACCESS, SAS, CONNECT, BASE, SAS MACRO, SAS STAT and SAS FSP.

SAS Programmer /Analyst

Confidential, San Diego, CA

Responsibilities:

  • Perform requirements analysis for the application and developed SAS macro to generate required out put data sets and reports.
  • Develop SAS program for testing and fully validating the application.
  • Perform the testing, analysis, and defect tracking and documentation of test scripts, test output, and version control using Rational Clear Case.
  • Design test plans and developed SAS programs for validation and testing macros which includes macro which creates output in HTML, and RTF formats using SAS ODS.
  • Develop test cases, and test the applications on Unix batch and interactive modes, and Windows batch and interactive modes.
  • Document test scripts, test output, and version control using Rational Clear Case.

Environment: Windows 2000, UNIX, SAS PC V8.2, SAS BASE, SAS ODS, SAS MACRO, and RATIONAL CLEARCASE.

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