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Top 49 SAS Programmer Skills

Below we've compiled a list of the most important skills for a SAS Programmer. We ranked the top skills based on the percentage of SAS Programmer resumes they appeared on. For example, 19.9% of SAS Programmer resumes contained Proc SQL as a skill. Let's find out what skills a SAS Programmer actually needs in order to be successful in the workplace.

These are the most important skills for a SAS Programmer:

1. Proc SQL

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high Demand
Here's how Proc SQL is used in SAS Programmer jobs:
  • Experience in PROC SQL joins and PROC SQL set operators to combine tables horizontally and vertically.
  • Accessed Oracle data tables using SQL 'Pass through Facility' and modified data using PROC SQL.
  • Cleaned, transformed, analyzed, and presented clinical data using PROC SQL.
  • Performed different type of data manipulation by MERGE, SET and PROC SQL.
  • Used SQL and PROC SQL to work with Oracle.
  • Retrieved ORACLE tables with PROC SQL.
  • Created and modified datasets with INNER, RIGHT AND LEFT JOIN using PROC SQL pass through facility for statistical analysis.
  • Generated customized reports using SAS/MACRO facility, PROC REPORT, PROC TABULATE and PROC SQL.
  • Used Proc SQL for SQL Pass through facility to query data from DBMS.
  • Used Proc SQL for performing table joins and other purposes where ever appropriate.
  • Created and modified existing SAS datasets using PROC SQL, PROC DATASETS, PROC IMPORT, etc.
  • Used Proc SQL (Pass-Through) method and Proc Append methods to write statistical analysis results to the ORACLE database.
  • Used Proc SQL to create data driven multi-value macro variables used in SQL create statements.
  • Used Proc SQL to retrieve the data from database and report SAS datasets.
  • Retrieved ORACLE tables from Oracle Clinical with Proc SQL using 'Pass through Facility.
  • Extract huge volumes of data and uploaded into Oracle using SQL Loader Created SAS datasets using Import Wizard and Proc SQL.
  • Created datasets and generated reports using Proc Tabulate, Report, Data Null, SAS Arrays, Proc SQL and Macros.
  • Merged and summarized data using Proc SQL, Proc Format, and Proc Sort etc.
  • Involved in extracting, analyzing and clustering financial data using proc sql, proc summary, proc report, data _null_.
  • Used SAS Macros and procedures like Proc SQL, Proc Transpose, Proc Univariate, Proc Means, Proc Freq.

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3 Proc SQL Jobs

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2. SAS

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high Demand
Here's how SAS is used in SAS Programmer jobs:
  • Imported huge data in to SAS library and sorted according to the class of the drug using ORDER BY option.
  • Interfaced with SAS/ACCESS to access, join, update, insert, and delete data from various tables.
  • Generated SAS data files, graphical reports and summary statistics, developed standard reports and document writing.
  • Created SAS Programs to bulk load the data and transfer data tables using SAS/ACCESS and SAS 9.2.
  • Translated the functional requirements using complex SQL and SAS scripts to provide data corresponding to these requirements.
  • Developed SAS macros for Data cleaning, Data mining and Reporting and to support routing processing.
  • Extracted required data from IBM mainframe to local SAS Environment by SAS FTP and sync sort.
  • Provide SAS Programming support and technical assistance in the accurate development and intermediate steps required.
  • Checked fellow programmers' and database managers' SAS programs for quality control.
  • Performed documentation of the SAS Code for the better understanding of the program.
  • Developed and designed SAS Programs / Macros to access and analyze financial.
  • Clean, standardize, and analyze database using SAS, and SQL.
  • Worked as a SAS programmer on the Mortgage ODS initiative.
  • Created reports using Base SAS, SAS/Report procedures.
  • Worked with SAS/Graph to produce graphical reports.
  • Estimated the effect of lot size on asking price of houses in Delaware using regression model in SAS 3.
  • Executed UAT backend testing by comparing expected and actual results using SAS in UAT environment.
  • Documented and maintained SAS programs and datasets through all the stages of the studies.
  • Compared and documented the performance between SAS and Informatica.
  • Created SAS datasets in local SAS directory.

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164 SAS Jobs

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3. SAS Procedures

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high Demand
Here's how SAS Procedures is used in SAS Programmer jobs:
  • Developed loss prediction model using Enterprise miner modeling solutions and SAS procedures.
  • Used SAS procedures such as Report, Tabulate, Freq, Means, Summary and Transpose for producing customized reports.
  • Created the validation document and validating the SAS data by using SAS procedures like FREQ, MEANS and SQL.
  • Worked widely on statistical analysis using SAS procedures such as PROC REG, PROC ANOVA and PROC MIXED etc.
  • Experience with SAS programming and in data step and with various SAS procedures in Base SAS and SAS/Stat.
  • Experience in debugging and testing SAS programs, data manipulation and producing reports employing various SAS procedures.
  • Used variety of Base SAS procedures for analysis, management, presentation and access of the data.
  • Produced Listings, Reports, Tabulations and Summaries of the clinical trial data using various SAS procedures.
  • Performed Data Cleaning and Validation using SAS data step and SAS procedures.
  • Used different SAS procedures in phase III trial including statistical analysis methods.
  • Used SAS procedures and preparing daily, monthly, yearly reports.
  • Performed databases cleaning and validation using SAS procedures, macros.
  • Experience in developing Macros using SAS procedures.
  • Generated reports using BASE SAS procedures - PROC PRINT, PROC TABULATE, PROC FREQ, PROC MEANS, PROC SUMMARY.
  • Developed custom programs using different Base and Advanced SAS procedures as per statistician's and study programmer's requirements.
  • Import large files into SAS datasets for processing using SAS procedures, data steps and tools.
  • Created ad-hoc reports using various SAS Procedures, SAS/Graph and SAS/Stat.
  • Used SAS procedures proc means and proc summary to prepare summary statistics and tables for presentation.
  • Guided statisticians, MDs, CROs, and clients with selecting and interpreting SAS procedures.
  • Utilize various SAS procedures and methodologies built response models Validated existing models Scoring Provided various ad hoc analyses

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4 SAS Procedures Jobs

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4. Sas/Sql

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high Demand
Here's how Sas/Sql is used in SAS Programmer jobs:
  • Performed data analysis, statistical analysis, generated reports, graphs and listings using SAS/BASE, SAS/MACROS, SAS/GRAPH and SAS/SQL.
  • Developed SAS Scoring Engine programs by extensively using SAS/BASE, SAS MACRO and SAS/SQL for Scoring policy insurance and Risk involved.
  • Developed SAS programs using SAS/BASE, SAS/SQL, SAS/STAT, and SAS/MACROS for descriptive and inferential statistical analysis and data displays.
  • Extracted raw data from Oracle Clinical Database using SAS/SQL and SAS/ACCESS and created SAS data sets required for project analysis.
  • Recorded frequent transactions along with the customer information required in finding out the risk of transaction using SAS/SQL.
  • Extract the data from Server and modified by using BASE SAS, SAS/SQL and SAS/MACROS in test Environment.
  • Extracted data from the database using SAS/Access, SAS/SQL procedures and created SAS data sets.
  • Developed Capital Reporting Analysis application, using Base/SAS, SAS/Macros, SAS/SQL and SAS/ODS template.
  • Developed SAS programs using SAS/BASE and SAS/SQL for preparing analysis and reports from databases.
  • Developed and modified project-specific SAS programs using SAS/BASE, SAS/SQL, and SAS/MACROS.
  • Accessed ORACLE database to retrieve files using SAS/SQL and SAS/ACCESS.
  • Submitted SAS/SQL Queries in UNIX shell to validate data.
  • Performed SORTING, MERGING of Data and generated TABLES, LISTINGS and GRAPHS using SAS/BASE, SAS/STAT, SAS/GRAPH and SAS/SQL.
  • Extracted Oracle tables from SAS and within Oracle by suing SAS/Access, and SAS/SQL.
  • Used base SAS and SAS/SQL to generate tables.
  • Developed queries on the existing Oracle and SQL server databases to provide ad-hoc reports using SAS/SQL for marketing department use.
  • Modified program for Ad-hoc reporting in Enterprise Guide using Query Builder, BASE SAS programming, SAS/SQL and SAS/MACRO.
  • Worked for CVSHealth as a data Analyst using SAS/EG and PC/SAS with extensive SAS/SQL and SAS/Macros.
  • Crated and extracted Oracle tables from SAS and within Oracle by using SAS/Access, SAS/SQL, dbload and SQL PLUS.
  • Created different datasets by combining individual datasets using various inner, outer, right and left joins using SAS/SQL.

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5. Data Analysis

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high Demand
Here's how Data Analysis is used in SAS Programmer jobs:
  • Performed data analysis, data migration, data preparation, graphical presentation, statistical analysis, reporting, validation and documentation.
  • Participated in pharmacy Claims data analysis for in-network/out-of-network claims, enrollment analysis and reporting along with Participating/Non-participating provider data analysis.
  • Developed SAS MACRO codes for data manipulation, data analysis, statistical analysis and routine report generation.
  • Designed and implemented statistical reporting processes for clinical data analysis.
  • Performed data analysis to identify the fraud claims internally.
  • Worked closely with data analysis team like statisticians to analyze business related data, generate custom reports, tables and listings.
  • Involved in Technical report writing and preparing analysis graphs using data analysis and presentation tools like SAS/GRAPH, SAS/STAT and ODS.
  • Perform data analysis on the production data to find out the out of range and bad data as per criteria provided.
  • Involved in the pharmaceutical data analysis and created reports by extensive use of Base SAS, SAS/Macro, and SAS/Reports.
  • Performed data analysis, statistical analysis, generated reports, listings and graphs using SAS.
  • Involved in problem solving, data analysis, and complex report generations.
  • Presented data analysis in graphs using SAS/GRAPH.
  • Applied PROC SQL, PROC FREQ, PROC MEANS and PROC UNIVARIATE for data analysis and generating report using PROC REPORT.
  • Performed data analysis on the data sets using PROC MEANS, PROC FREQ, and PROC UNIVARIATE etc.
  • Constructed required data sets, conducts exploratory data analysis for the generated UCDP output datasets.
  • Automated data analysis programs with a goal of improving efficiencies.
  • Used SAS for pre-processing data, SQL queries, data analysis, generating reports, graphs and statistical analyses.
  • Performed data analysis, coding and implementation in Windows and Unix environments environments.
  • Performed Data analysis mainly using Regression and ANOVA (Proc REG, Proc GLM, and Proc ANOVA).
  • Performed complex statistical data analysis using proc means, proc FREQ, proc UNIVARATE, proc proc REG and proc ANOVA.

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7 Data Analysis Jobs

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6. Unix

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high Demand
Here's how Unix is used in SAS Programmer jobs:
  • Used SAS9.2 to manipulate smaller pools of data as well as UNIX to extract and manipulate data stored in Oracle tables.
  • Worked extensively on PC SAS and Unix base SAS and used software build tools like Clear Case and Clear Quest.
  • Created JIL files to schedule SAS jobs in UNIX environment and created flat files for third party vendors.
  • Created automated FTP's, automated Email macros using SAS and UNIX to desktop for analysis.
  • Used SAS v8.2 on Sun UNIX environment and Programming in SAS BASE and Macros.
  • Handled the tasks of writing reports and data using UNIX platform.
  • Created macros, macro variables and UNIX shell scripts when necessary.
  • Created Batch Process in the UNIX Environment for the SAS System.
  • Created reports using Unix Shell scripting for weekly and monthly reports.
  • Developed and modified programs in SAS under UNIX environment using SAS/BASE.
  • Created UNIX Shell Scripts for automating the execution process.
  • Sole UNIX script writer for automation and data processing.
  • Worked on both UNIX and MVS platforms utilizing SAS.
  • Scheduled SAS/Unix jobs using Platform LSF and AUTOSYS.
  • Extracted data from Oracle tables in UNIX.
  • Uploaded SAS transport files onto UNIX.
  • Worked extensively on PC SAS, UNIX and Base SAS.
  • Moved data set across platforms (from PC and Mainframe to UNIX and Vice Versa).
  • Generated adhoc reports using SAS, Ran monthly Production programs in UNIX using automated scripts.
  • Involved in developing Unix Korn Shell wrappers to run various dependency graphs.

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5 Unix Jobs

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7. Sas/Stat

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high Demand
Here's how Sas/Stat is used in SAS Programmer jobs:
  • Created programs for generating reports of clinical studies which include risk and odds rations, and significant multivariate factors using SAS/STAT.
  • Build Logistic Regression models and Multiple Linear Regression models to identify the control group cohorts using SAS/STAT and other SAS modules.
  • Retrieved the data from flat files, oracle database and converted to SAS data sets for Analysis using SAS/Stat procedures.
  • Extracted raw data from an Oracle database and used SAS/Access to read it and run statistical analysis using SAS/Stat.
  • Develop Statistical and Mathematical models to support of software and business process implementations with SAS and SAS/STAT, SAS/ETS.
  • Retrieved the data from flat files received from the vendors and converted to SAS data sets using SAS/STAT procedures.
  • Developed dynamic SAS programs and produced Reports using Base SAS, SAS/Macros, and SAS/Stat & Graphs.
  • Performed statistical and data analysis using Base SAS, SAS/STAT, SAS Macros and SAS Graph.
  • Presented statistical results with the help of pie diagrams and bar graphs using SAS/STAT.
  • Developed dynamic SAS programs using SAS/Base, SAS/Macros, SAS/SQL, SAS/STAT.
  • Used SAS/STAT software for Statistical Analysis, procedures and reports.
  • Used SAS/STAT and SAS/Graph procedures to create summaries and graphs.
  • Used PROC UNIVARIATE and SAS/STAT procedures for analyzing the data.
  • Analyzed data using SAS/STAT procedures.
  • Conducted statistical analyses using SAS/STAT including PROC MIXED, PROC FREQ, PROC LIFETEST, PROC PHREG, etc.
  • Experience in SAS/BASE, SAS/STAT, SAS/MACRO, SAS/ACCESS, and SAS/SQL in Windows Environment.
  • Applied SAS/STAT to present results in BAR charts, LINE plots, and SCATTER plots.
  • Experience with PROC TRANSPOSE, SAS/STAT procedures such as PROC FREQ, PROC MEANS.
  • Provided ad-hoc support to statistical analysis through SAS/STAT and ODS traces (listing) code to the statisticians.
  • Conducted statistical analysis using SAS/STAT (e.g.

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8. Windows XP

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high Demand
Here's how Windows XP is used in SAS Programmer jobs:
  • Re-installed and supported all SAS client tools in the Windows 7 environment during migration from Windows XP.
  • Project Environment: WINDOWS XP/98/2000, R/S, ORACLE, SAS/SQL, SAS /GRAPH, ACCESS, SAS/BASE8.2
  • Touched SAS/BI on Windows XP.

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9. Data Warehouse

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high Demand
Here's how Data Warehouse is used in SAS Programmer jobs:
  • Converted existing business information report packages to data warehouse platform where feasible.
  • Complied with global load/access system architecture and Statistical Data Warehouse design.
  • Involved in developing SAS programs for data transformations of the data received from different operational sites to maintain a data warehouse.
  • Involved in updating and retrieving data from Data Warehouse and generating analysis reports using SAS/BASE, SAS/MACRO, and PROC REPORT.
  • Involved in update and maintenance of data warehouse and generation of various sales and marketing reports.
  • Analyzed customer profiles based upon variables of interest in data mart and data warehouse.
  • Created Data transformation and Data Loading (ETL) scripts for Data Warehouses.
  • Served as data custodian and point of contact for operational data warehouse issues.
  • Build the enterprise data warehouse using complex transformations that come from many systems.
  • Created new programs and modified existing programs in the data warehouse.
  • Developed the data warehouse system for credit/debit OLTP process.
  • Project Name: Kingfisher Data warehouse Client The AA
  • Extract the data from a data warehouse and create ad-hoc reports, tables, and graphs according to Business needs.
  • Performed data analysis on change data capture and NET-change jobs for updating transactional membership and claims data in data warehouse.
  • Involved in analysis of data from complex from data warehouse and creation various business reports 2.
  • Maintained and updated the data warehouse (RMAT) using ETL tool (Informatica).
  • Extracted data from Data Warehouse using Informix SQL and SAS SQL Pass through facility.
  • Develop FASTLOAD and MLOAD scripts to load data from legacy system and flat files through Informatica to Teradata data warehouse.
  • Worked with SAS and Proc SQL to extract marketing demographics from a Teradata data warehouse for model testing.
  • Used Teradata utilities like MultiLoad, Tpump, and Fast Load to load data into Teradata data warehouse from multiple sources.

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10. Summary Tables

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high Demand
Here's how Summary Tables is used in SAS Programmer jobs:
  • Produced data listings, summary tables and graphs for interim and final analyses using different statements/functions/procedure for data manipulation.
  • Generated clinical data summary tables/Listings/graphs and reports using SAS.
  • Used SAS Base procedures such as PROC SUMMARY, PROC REPORT and SAS GRAPH for designing statistical summary tables and graphs.
  • Developed SAS MACRO for collecting, cleaning, reshaping data and generating summary tables of the statistical analysis.
  • Perform quality control for all statistical outputs of programs created and prepare summary tables and reports.
  • Develop code and macros to generate summary tables, alerts, charts, and reports.
  • Prepared efficacy and safety summary tables, listings, graphs and reports for NDA submissions.
  • Create SAS analysis databases, summary tables and graphs for presentations, manuscripts and reports.
  • Developed programs for listings, summary tables and patient profile as per study requirement.
  • Created various Summary Tables for Demographics, Exposure, AE/SAE and Disposition.
  • Developed standard and custom data listings and summary tables.
  • Created summary tables and listed outputs.
  • Created Summary tables using procedures like PROC TRANSPOSE, SORT, FREQ, MEANS, SUMMARY, UNIVARIATE, AND TABULATE.
  • Produced data listings, summary tables and graphics using analysis datasets for interim and final analysis and publications.
  • Created integrated datasets, generated integrated summary tables.
  • Created, derived and merged and pooled datasets, listings and summary tables for Phase-I and Phase II of clinical trials.
  • Created and validated programs clinical trial initiatives, responsible for production of analysis datasets, data listings and summary tables.
  • Worked with statisticians in generating SAS analysis datasets, production of data listings, summary tables, and statistical analyses.
  • Created Analysis Datasets, Summary Tables, Listings and Plots per the specification of the study for statistical analysis.
  • Created ad hoc summary tables according to Sponsor requests.

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3 Summary Tables Jobs

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11. Sas/Graph

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high Demand
Here's how Sas/Graph is used in SAS Programmer jobs:
  • Used SAS/GRAPH procedures like PROC GPLOT and PROC GCHART for generating figures as per the requirement.
  • Performed statistical analysis, created tables, graphs and listing utilizing SAS/BASE, SAS/STAT and SAS/GRAPH.
  • Created input data sets and analyzed the data by creating graphs using the SAS/GRAPH facility.
  • Plotted high-resolution Kaplan-Meier curves and thoroughly formatted them with SAS/GRAPH options.
  • Produced high quality graphs through SAS/GRAPH for analysis studies.
  • Generated graphs using SAS/GRAPH and SAS Graphics Editor.
  • Created various Graphs using SAS/Graph, SAS/G plot.
  • Create programs for presentation of graphs using SAS/GRAPH.
  • Generated line graphs and bar graphs using SAS/GRAPH.
  • Generated graphs through SAS/GRAPH for project development.
  • Created charts showing performance using SAS/GRAPH.
  • Generated SAS/Graphs using standard macros.
  • Used SAS/GRAPH to present data analysis using PROC (Such as GPLOT, GCHART, UNIVARIATE & FREQ.)
  • Worked with various SAS products SAS/BASE, SAS/STAT, SAS/GRAPH, and SAS MACROS to develop required solutions.
  • Base SAS, SAS/Graph, SAS/Macros, SAS/SQL, SAS/STAT.
  • Used SAS extensively to create ad hoc reports, match merge and created graphs by using SAS/GRAPH base.
  • Created derived datasets and produced reports using SAS/BASE, SAS/MACRO, SAS/STAT and SAS/GRAPH.
  • Created SAS customized reports using the DATA_NULL_technique Generated graphs using SAS/GRAPH and SAS Graphics Editor.
  • Developed & executed SAS programs on a regular and ad-hoc basis using SAS/Macro andSAS/Graph.
  • Used SAS/Graph procedures like Proc Gchart and Proc Gplot for graphical presentation of the statistical analysis.

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12. Sas/Ods

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high Demand
Here's how Sas/Ods is used in SAS Programmer jobs:
  • Created reports in Excel spreadsheets using SAS/ODS and implementing them in PowerPoint presentation for the client.
  • Worked with SAS/ODS, HTML to produce dynamic web interfaces from SAS programs Technologies:.
  • Developed programs to generate reports, listings and graphs using PROC REPORT and SAS/ODS.
  • Produced outputs in different formats such as HTML and PDF and using SAS/ODS.
  • Produced reports in RTF and PDF formats using SAS/ODS facility.
  • Used SAS/ODS to produce the reports in different formatted files.
  • Used SAS/ODS for generating different output formats as requested.
  • Used SAS/ODS for delivering output in RTF format
  • Developed reports using SAS/ODS and PROC REPORT.
  • Produced RTF, MSWORD and HTML formatted files using SAS/ODS.
  • Used SAS/ODS to produce HTML reports.
  • Generated statistical analysis files, tables, listings, and graphs for clinical trial studies Involved in delivering output using SAS/ODS.
  • Produced HTML, RTF and PDF formatted files using SAS/ODS and Ad-hoc reports based on Client requirement.
  • Produced RTF and MSWORD formatted files using SAS/ODS to produce ad-hoc reports.
  • Created reports and presentations by using Proc REPORT, SAS/GRAPH and SAS/ODS.
  • Worked on SAS/ODS , SAS/MACROS, SAS/BASE, SAS EG, UNIX Environments.
  • Used SAS/ODS for generating different output formats such as html, pdf, rich text as requested.
  • Generated ad-hoc reports and browser viewable reports using SAS/ODS.
  • Programmed additional Ad-hoc requests as per Statistician and Data Management group * Used SAS/ODS for generating different output formats as requested.
  • Created TLGs using Proc REPORT, Proc FORMAT, Proc GPLOT, SAS/ODS and DATA _NULL_ for data presentations.

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13. Html

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high Demand
Here's how Html is used in SAS Programmer jobs:
  • Generated complex reports in text, HTML, Excel and PDF formats using SAS Output Delivery System (SAS/ODS).
  • Used Output Delivery system (ODS) facility to direct SAS output to RTF, PDF and HTML files.
  • Generated RTF, HTML, Dashboards and PDF outputs for clinical study reports and integrated summaries for regulatory submissions.
  • Created reports using SAS /ODS and SAS/views from oracle database tables into different formats like HTML and RTF.
  • Generated e-submission such as Transport file, define documents, formatted HTML and PDF reports using SAS ODS.
  • Used SAS ODS for generating reports in RTF, PDF and HTML formats as specified by statistician.
  • Default Report output is HTML and provided the options of WORD & EXCEL formats using SAS/ODS statements.
  • Create PDF report, HTML report using ODS statements.
  • Developed HTML reports using SAS ODS.
  • Generated HTML/RTF/PDF files using ODS output.
  • Formatted HTML, PDF, CSV and RTF reports, using SAS - output delivery system ODS.
  • Utilized SAS/ODS to create reports in PDF, RTF, HTML formats as per the user needs.
  • Generated reports using SAS/BASE, SAS/ODS and PROC TABULATE/REPORT in various formats such as PDF and HTML.
  • Used SAS/ODS to create HTML, RTF and PDF outputs files in the process of producing reports.
  • Used SAS/ODS to generate reports on HTML web format as well as in RTF and PDF.
  • Created reports in the style format (RTF, PDF and HTML) using ODS statements.
  • Generated output using SAS/ODS in CSV, XLS, DOC, PDF and HTML formats.
  • Created RTF, HTML, PDF listings, tables and reports using SAS ODS.
  • Created reports in HTML, RTF using SAS/ODS.
  • Used SAS/ODS for delivering output in different formats including HTML, PDF and RTF.

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1 Html Jobs

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14. RTF

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high Demand
Here's how RTF is used in SAS Programmer jobs:
  • Project involved generating monthly portfolio quality report by accessing and aggregating data across disparate systems and sources using statistical techniques.
  • Performed SAS analysis using the customer database to monitor portfolio pricing.
  • Performed complicated analysis including customer retention analysis and portfolio performance tracking.
  • Produced RTF and HTML formatted files using SAS/ODS to produce ADHOC reports for presentation and further analysis.
  • Maintain portfolio performance monitoring reports for the consumer portfolios that form a part of the business.
  • Created Data listings in support of Clinical Trials with ODS/RTF and maintain documentation for SAS programs.
  • Developed various forms of out puts, RTF, PDF, HTML files using SASODS facility.
  • Created outputs using ODS option into formats such as RTF, PDF, Excel etc.
  • Generated RTF and PDF reports using SAS ODS reports.
  • Created RTF reports using ODS techniques.
  • Created high quality reports in the form of listing, HTML, RTF and PDF formats using SAS ODS.
  • Converted SAS data sets to various file formats such as HTML, PDF, RTF, EXCEL etc.
  • Created reports in PDF, HTML, XML and RTF using SAS/ODS statements & Data _NULL_ techniques.
  • Generated reports in the HTML, RTF and PDF formats using SAS ODS and SAS/GRAPH.
  • Created SAS listings and tables in PDF, RTF formats using SAS ODS.
  • Used SAS ODS to produce HTML, PDF and RTF format files.
  • Created RTF, PDF, HTML, LISTING, etc.
  • Used ODS in order to generate PDF, RTF files.
  • Formatted HTML and RTF reports, using SAS/ODS.
  • Provided support in the design and implementation of ad hoc requests for Credit-Related Portfolio Data.

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1 RTF Jobs

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15. Ad-Hoc

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average Demand
Here's how Ad-Hoc is used in SAS Programmer jobs:
  • Used SAS extensively for creating ad-hoc reports, match merge, append data validation, and data correction and cleansing.
  • Reviewed and modified SAS Programs, to create customized ad-hoc reports, processed data for publishing business reports.
  • Generated ad-hoc and customized reports using reporting tools like PROC REPORT, DATA _NULL_ and SAS/ODS technique.
  • Worked on Ad-hoc requests from studies in other therapeutic areas and provided programming support to the projects.
  • Worked on ad-hoc requirements to clean data using standard procedures, SAS functions and SAS arrays.
  • Converted Excel tables and flat (text) files into SAS datasets for Ad-Hoc analysis.
  • Generated Ad-hoc reports for analyses using SAS tools for in the oncology therapeutic area.
  • Worked on ad-hoc requirements and later converted them as monthly and quarterly reports.
  • Developed SAS code and created ad-hoc reports based on the given requirements.
  • Created dash board reports and ad-hoc reports on weekly and monthly bases.
  • Provide programming support of ad-hoc requests and special projects as assigned.
  • Performed various Ad-hoc analysis as per user's guidelines and requests.
  • Created various ad-hoc reports as per the statistician's request.
  • Developed numerous ad-hoc SAS programs to create summaries and listings.
  • Used EXCEL and VBA scripts to develop the ad-hoc reports.
  • Developed SAS Macro programs to create ad-hoc reports.
  • Created ad-hoc reports for interim analysis and for special purpose grouping analysis.
  • Generated Ad-Hoc Reports for analysis datasets using procedures Print and Report.
  • provided ad-hoc support for TLG generation on individual study basis and produced reports as per client requirements.
  • Cleaned existing data and converted them into useful SAS datasets, merged datasets and created reports based on ad-hoc requirements.

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16. PDF

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average Demand
Here's how PDF is used in SAS Programmer jobs:
  • Generated each Table in RTF format, MS Word format by DDE, an All-in-One Table in PDF format with Bookmark.
  • Worked in writing macros and organizing data files using PDF and office applications such as Word, Excel and more.
  • Converted SAS listings and tables into PDF, RTF, HTML formats to meet specifications by using SAS ODS.
  • Use SAS ODS facility to write custom reports directing SAS output to RTF, PDF destination files.
  • Produced output in various formatted files such as Excel sheets, PDF and HTML using SAS/ODS.
  • Used SAS ODS facility with PROC Report procedure to generate reports in PDF and HTML formats.
  • Generated output files in text format, HTML & PDF format using SAS ODS.
  • Generated XLS, CSV and PDF reports of the data with SAS ODS facility.
  • Generated high quality reports and listing HTML, EXCEL and PDF formats using SAS/ODS.
  • Generated HTML, RTF, PDF reports using ODS statements.
  • Developed various forms of SAS outputs like RTF, HTML and PDF files using SAS ODS.
  • Created reports using ODS in various file formats such as RTF, PDF and HTML.
  • Use ODS to generate results in Excel, PDF, and HTML formats.
  • Experience in producing RTF, PDF, and HTML files using SAS ODS.
  • Used ODS to produce RTF, PDF, HTML and EXCEL outputs.
  • Used SAS ODS to create HTML, EXCEL and PDF output.
  • Used SAS ODS to create RTF and PDF reports.
  • Worked with ODS statement to generate Excel and PDF reports out of SAS datasets.
  • Created XLS, CSV and PDF reports for healthcare data.
  • Exported these graphs to Pdf File using SAS/ODS.

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17. Teradata

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Here's how Teradata is used in SAS Programmer jobs:
  • Used SAS/ACCESS to gather data from RDBMS like TERADATA.
  • Extracted data from Oracle database transformed and loaded into Teradata database according to the specifications.
  • Developed and executed quality control checks on the data loaded in Teradata database by comparing the Dep2 and Dep3 data models.
  • Provided monthly reports related to Card Data quality by using Teradata, SAS EG, MS Excel, Pivot Charts.
  • Involved with Business analysts to Provide Business Performance Data using Teradata, Oracle, SQL, BTEQ, and UNIX.
  • Used PROC SQL to extract data from different relational database management (Teradata, Oracle, SQL Server) systems.
  • Pulled loan data, economic data (unemployment, interest rate etc) from Teradata by writing SQL Queries.
  • Created Daily, Weekly, monthly reports related by using Teradata, Ms Excel, and UNIX.
  • Extracted, performed validation and generated SAS data sets from Teradata; applied SQL Pass through Facility.
  • Used PROC SQL and SELECT sub-queries to generate various reports by connecting to the Teradata DB.
  • Involved in Physical modeling on Teradata such as creation of tables, indexes and views.
  • Used SQL Pass through Facility to create and update Teradata and Oracle tables.
  • Used SAS PROC SQL Pass through facility to work with Teradata database.
  • Used Enterprise Guide to retrieve data stored in Teradata, PeopleSoft Enterprise.
  • Used SQL Assistant to analyze and query from the Teradata DB.
  • Involved in conversion of data from Oracle to Teradata.
  • Produced new and modified SAS programs to extract Teradata data base using SQL Pass Through and Libname methods.
  • Create program to pull data for sensitive drugs for Drug Safety Adversary on oracle and Teradata base datasets.
  • Use of SQL extensively including Teradata SQL and Proc Sql for SAS Extensive use of UNIX and Unix commands.
  • Used Teradata utilities such as Fastload, BTeq, and Multiload.

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18. Sas/Connect

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Here's how Sas/Connect is used in SAS Programmer jobs:
  • Created and extracted Oracle tables from SAS and within Oracle by using PL/SQL using SAS/ACCESS and SAS/CONNECT.
  • Extracted data from ORACLE and other flats files into SAS Data Sets using SAS/ACCESS, SAS/CONNECT.
  • Created SAS data sets by extracting data from SQL SERVER tables using SAS/CONNECT and SAS/ACCESS.
  • Import and export SAS data in and out of mainframe using SAS/Connect.
  • Created SAS data sets by extracting data from Oracle tables using SAS/CONNECT.
  • Extracted data from Mainframes using SAS/CONNECT for building SAS data sets.
  • Used SQL queries inside SAS/Connect to get data in Oracle.
  • Coded SAS programs using SAS/CONNECT to access DB2 databases.
  • Used TOAD and SAS/Connect interfaces to Oracle SQL.
  • Generate reports, listings and graphs using SAS/Base, SAS/Macro and SAS/Graph, SAS/SQL, SAS/Access, SAS/ODS and SAS/connect.
  • Used Base SAS, SAS Macros, SAS/Connect and SAS EG to build expense control reports.
  • Pulled data from ORACLE 11g, DB2 and MYSQL databases using SAS/CONNECT software.
  • Developed the robust %xconnect SAS Macro that dynamically builds link files and uses SAS/CONNECT to initiate remote SAS sessions.
  • Created SAS programs in SAS/EG for adhoc requests, pulled data from ORACLE 11g, TERADATA databases using SAS/CONNECT software.
  • Used SAS/SQL, SAS/CONNECT, SAS/ACCESS modules for data mapping process Worked on Validation of process and documented.
  • Used SAS/CONNECT to transfer and download datasets by connecting to remote computers.
  • Extracted data from DB2 and Teradata tables using SAS/CONNECT and SAS/ACCESS.
  • Developed/tuned programs using Base SAS, SAS MACROs, SAS/ACCESS Interface to ADABAS, and SAS/CONNECT.
  • Load business credit scoring data into Teradata database thru SAS using SAS/CONNECT under Unix Server.

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19. Raw Data Files

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Here's how Raw Data Files is used in SAS Programmer jobs:
  • Developed SAS and SQL scripts to extract data from the Oracle Database as well as from raw data files.
  • Used in file statement options to control processing when reading raw data files in SAS.
  • Investigated missing data and data anomalies in SAS data sets and raw data files.
  • Used various components of an INPUT and INFILE statements to process raw data files.
  • Used Infile-Input to read the exam data from raw data files.
  • Used data step options like KEEP, DROP, RENAME, IF, WHERE, when reading raw data files.
  • Created SAS datasets from raw data files with different field structures using trailing and in the data step.
  • Converted raw data files into SAS datasets using the SAS INFILE statement.
  • Created SAS datasets from raw data files using PROC IMPORT.
  • Converted raw data files into SAS datasets.
  • Created datasets from raw data files (MS Excel, CSV etc.)
  • Prepared new datasets for statistical analysis from raw data files and modified existing datasets.
  • Generated datasets from raw data files using import techniques and modified existing datasets using Set, Merge, and Sort.
  • Prepared new Datasets from raw data files using Import Techniques modified existing datasets.
  • Convert .txt and .xls raw data files into SAS data sets.

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20. DB2

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Here's how DB2 is used in SAS Programmer jobs:
  • Excel workbooks were used to facilitate the progression and migration of the data from DB2 source tables to destination Oracle tables.
  • Involved in modify Legacy Data Warehouse SAS jobs to run on the MDW platform and execute SQL against the DB2.
  • Retrieved surplus records from DB2 by connecting to the remote server using FTP and retrieved data.
  • Created Multiple Mappings to load data from including mainframe data available in DB2 schema.
  • Extracted the data from DB2 and Oracle using PROC SQL pass through facility.
  • Contract position to move DB2 tables from existing Bacardi schema to new environment.
  • Used SASPROC SQL Pass through Facility to work with DB2 database.
  • Created temporary tables in DB2 using LIBNAME statement.
  • Accessed and manipulated data contained in DB2 tables.
  • Used PL/SQL and PROC SQL Pass through Facility to work with ORACLE and DB2.
  • Used SQL Pass-through for extract, transfer, and load from DB2 source.
  • Created SAS Views from tables in DB2 using SAS/Access.
  • Used DB2 Utilities and SQL PLUS to unload tables.
  • Mapped SAS fields in SAS programs to DB2 fields.
  • Extracted data from different data sources like Oracle, DB2 loaded in data warehouse depends on the business logics.
  • Used PROC SQL queries extensively to query databases like DB2, Sybase and import data in to SAS.
  • Documented existing SAS programs processes and their inputs/output for conversion to other interfaces to an UDB/DB2 datamart.
  • Develop SAS datasets from Excel files, XML files, Oracle Server, and DB2 database.
  • Developed, tested, maintained SAS/DB2 programs for financial reporting for the Reaudit and Disclosure initiatives.
  • Extracted data from Oracle, DB2 and Sybase databases into SAS using SQL pass-through facility.

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21. SQL

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Here's how SQL is used in SAS Programmer jobs:
  • Performed data quality analysis using advanced SQL skills.
  • Used SQL procedure to send DBMS-specific SQL statements to a database management system (DBMS) and to retrieve DBMS data.
  • Downloaded data from Oracle using SQL in to SAS to be analyzed and then exported to Excel for further analysis.
  • Used SAS Macros and SAS SQL to query data and to obtain results which were generally stored as delimited text.
  • Used SQL queries like Joins, Views, Stored procedure to check database contents for defect reporting.
  • Design SQL query to select, create, append, and update database tables and views.
  • Manipulated existing Oracle database by accessing the data using SQL pass through facility.
  • Extracted the data from database using SQL queries and created SAS data sets.
  • Developed Queries using PROC/SQL to retrieve the data based on the matching columns.
  • Run Batch files for loading database tables from flat files using SQL*loader.
  • Developed SQL* loader scripts to load data in the custom tables.
  • Extracted data from Oracle data base using SQL Pass through facility.
  • Created dynamic Macro arrays by SQL and with data step programs.
  • Developed PL /SQL code for updating payment terms.
  • Used SAS/ACCESS to extract data from ORACLE and SQL SERVER.
  • Developed SAS programs using SAS BASE, SAS SQL.
  • Extracted data from different sources like Oracle and text files using SAS/Access, SAS SQL procedures and created SAS datasets.
  • Worked with relational databases such as Oracle, Sql server, MS-Access and SAS storage server SPDS.
  • Worked with large tables in database using Pass Thru SQL technique.
  • Created SAS datasets by extracting data from Sybase IQ, SQL Server tables using SAS/ACCESS.

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22. ETL

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Here's how ETL is used in SAS Programmer jobs:
  • Prepared detailed ETL transformation specification level Design Documents.
  • Coordinated with the ETL/DBA team to identify the required databases and fields to generate the code as per the business logic/definition.
  • Involved in the building of data marts from enterprise data sources spread across platforms of the SAS ETL studio.
  • Used the ETL tool (Extraction Transformation Load Process) to load data in the database using control files.
  • Developed scheduling scripts to monitor the execution of daily, monthly, quarterly and yearly reports using ETL Control.
  • Performed ETL operations to upload data onto Oracle databases, created and maintain Macro libraries Responsibilities:.
  • Created various transformation procedures by using SAS 9.1, SAS ETL and SAS Enterprise guide.
  • Worked on Technical Solution Document, which included ETL designs for the SAS DI development.
  • Develop and maintain ETL scripts and SAS programs for DCF Data Collection Facility process.
  • Developed ETL process and SAS independent repository as source of data transaction.
  • Created ETL jobs in SAS DI based on Technical Solution Document.
  • Created source to target data mapping documents and ETL design document.
  • Perform original SAS Programming using SAS EG for reporting and ETL.
  • Created expected results by writing ETL programs using SAS/ SQL.
  • Created email error macro for ETL automated scripts.
  • Performed ETL on Oracle and Teradata databases to extract and prepare data for analysis and reporting.
  • Developed and implemented the coding of Informatica Mappings for the different stages of ETL.
  • Extracted and load Teradata DBMS tables using SAS/ETL.
  • Developed an ETL process in SAS, replicating current process implemented in Informatica to migrate dataset from oracle to ParAccel.
  • Created many Perl, Reports and Extracted, loaded Teradata tables using SAS/ETL.

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23. Efficacy

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Here's how Efficacy is used in SAS Programmer jobs:
  • Developed efficacy and safety tables including Adverse Events table, Laboratory Shift table and Concomitant Medication tables.
  • Prepared Integrated Summary of safety and Integrated Summary of Efficacy specifications.
  • Produced safety and efficacy reports by using different statistical procedures.
  • Produced Tables, Listings and Graphs for Integrated Summaries of Efficacy (ISE) and Safety (ISS).
  • Involved in clinical trials programming of data tables and listings for reporting on safety and efficacy.
  • Analyzed Phase II Clinical Trial data to determine the safety and efficacy of the agent.
  • Programmed reports for Safety and Efficacy as per Statistical Analysis Plan and mock shells.
  • Created Analysis data sets, PK reports, Safety reports and Efficacy reports.
  • Involved in validating and QC of the efficacy and safety tables.
  • Created Efficacy tables and listings for DMC review.
  • Create efficacy derived datasets and validate efficacy programs using SAS for statistical analysis.
  • Developed Analysis datasets for Safety and Efficacy data.
  • Developed standard reports for Safety & Efficacy data including laboratory and adverse event summaries for IND (Investigational New Drug).
  • Conducted and generated the Regression, Correlation studies and Analysis of Covariance (ANCOVA) for tables of efficacy analysis.
  • Performed Efficacy Analysis and Safety Analysis using SAS/STAT procedures as specified in SAP/Protocol and prepared TLGs for Clinical Study Report.
  • Generated CMH analysis using Proc freq for comparing the drug efficacy b/w treatment groups.
  • Designed and created diagrams for the generic efficacy system using Microsoft Visio software.
  • Merged Demographics (DM) and efficacy datasets to generate various reports.
  • Involved in generation of analysis datasets such as efficacy, adverse events and demographic data sets from raw datasets.
  • Created the TLGs, Safety and Efficacy tables; generated tables, listings and graphs (GPLOTs, Box plots etc.

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24. Sdtm

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Here's how Sdtm is used in SAS Programmer jobs:
  • Created CRT's (Case Report Tabulations) and listing reports using Study Data Tabulation Model (SDTM) Model.
  • Used CDISC SDTM controlled terminology and SDTM domains to help write the SAS code.
  • Resolved requests issued from the study teams on SDTM domains.
  • Implemented CDISC SDTM Standards for Raw data.
  • Experience in different CDISC Procedures such as SDTM, ODM, LAB data.
  • Used SDTM model (3.1.1) / ADAM for domain creation and CDISC compliant analysis datasets.
  • Involved in data Extraction, Validating data domains for SDTM and generating TLGs.
  • Created SDTM datasets (demographics, adverse events) based on specifications provided.
  • Involved in conversion of legacy data to CDISC/SDTM Datasets.
  • Worked with CDISC, ADaM and SDTM models.
  • Worked on CDSIC SDTM 3.1.2 version datasets generation from raw data as well as Analysis datasets.
  • Created datasets according to CDISC standards: SDTM format data sets; ADaM format data sets.
  • Develop SDTM mapping documents, complete programming and validation of CDISC SDTM and ADaM datasets.
  • Used SDTM ADaM for domain creation and created SAP's for Analysis Datasets.
  • Created SDTM datasets from raw datasets as per CDISC.
  • Created datasets using SDTM and ADaM data models.
  • Created CDISC SDTM and ADaM datasets.
  • Created SDTM /ADAM datasets Validated, documented and tested component programs in an efficient manner for inclusion in integrated reports.
  • Created DDS for SDTM and ADaM datasets and created respective datasets.
  • Created ADaM datasets from SDTM datasets.

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25. Cdisc

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Here's how Cdisc is used in SAS Programmer jobs:
  • Worked on data integration of various studies performed in different parts of the world and integrated them using CDISC SDTM.
  • Gained strong mapping knowledge in submission of data in CDISC SDTM format, based on CDISC SDTM Implementation guide.
  • Worked with different CDISC procedures such as SDTM, ADAM and in EDC systems.
  • Generated tables and listings based on CDISC (SDTM V3.1.2) standard.
  • Checked the data set for CDISC compliance by using OPENCDSIC.
  • Mapped Legacy Data to CDISC SDTM standards.
  • Supported E-submission by generating SAS XPORT files and other appropriate deliverables and documentation for regulatory submissions CDISC standards.
  • Used regulatory requirements concerning industry technical standards (e.g., CDISC, 21 CFRPart 11, electronic submissions, etc.)
  • Validated and ran compliance check report using the open CDISC validator 1.5 for both ADAM and SDTM.
  • Involved in creation and validation of datasets according of CDISC SDTM standards following specifications document.
  • Prepared standard datasets, which are based on the CDISC SDTM guidelines.
  • Developed programming to generate CDISC/SDTM domains based on mapping specifications and eCRF.
  • Performed various ad-hoc analyses as per guidelines and requests maintaining CDISC standards.
  • Maintained the standards for dates and country along with other CDISC standards.
  • Developed SDTM data mapping and created SDTM datasets per CDISC standards.
  • Created CDISC SDTM and ADAM datasets according with specifications.
  • Implemented mapping logic and creation of CDISC domain datasets.
  • Created data tabulations with CDISC mappings using SDTM model and verified the compliance of datasets using Proc CDISC for electronic submissions.
  • Developed ADaM datasets as per client requirements based on CDISC standards.
  • Validated CDISC datasets using open cdisc.

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26. FDA

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Here's how FDA is used in SAS Programmer jobs:
  • Conducted, documented and reported Data Validation inspection in compliance with the FDA Regulations and other regulatory compliance.
  • Derived and used analysis data sets for statistical analysis and generated reports for FDA submission.
  • Created Integrated Summaries of Efficacy (ISE) and Safety (ISS) as per FDA compliance.
  • Involved in generating the summary tables required in submission of ISS and ISE as per FDA regulation.
  • Generated SAS customized Reports according to FDA standards using the Data Null Technique for evaluations.
  • Created transport files (XPT files) for delivery to clients for FDA submission.
  • Reviewed data from clinical trials and developed plans to presenting results to FDA.
  • Worked on analysis data definition document and transport files for FDA submissions.
  • Created SAS Customized Reports using various reporting procedures for FDA submissions.
  • Reviewed of Clinical data for FDA Submissions.
  • Created transport files (XPT files) for FDA submission.
  • Created SAS reports using the Data_Null_ technique and Proc Report for NDA submission as per FDA regulations and company standards.
  • Developed codes and macros for remapping SAS datasets and catalogs in accordance with CDISC standards and FDA Electronic submission guidance.
  • Created variable metadata, value metadata, dataset metadata spread sheets for E-Submission to FDA.
  • Generated CRT (Case Report Tabulation) datasets using CDISC standards for FDA regulatory submissions.
  • Created transport files for the datasets as a part of the FDA submission.
  • Created SAS Customized Reports using the Data _Null_ technique for FDA evaluations.
  • Generated define.xml files using tools and company generated macros for FDA submissions.
  • Created CRT datasets using CDISC standards for submissions to the FDA.
  • required for the FDA submission.

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27. Clinical Trials

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Here's how Clinical Trials is used in SAS Programmer jobs:
  • Integrated data from different studies for statistical analysis and reporting in clinical trials.
  • Assisted team lead in formatting and manipulating clinical trials data
  • Worked with Statisticians and Clinical Data Managers to provide SAS programming in analyzing the Clinical Trials and generating Reports.
  • Provided customized, meaningful data to statisticians for analysis for Phase 3 and Phase 4 clinical trials.
  • Provide SAS and other programming support with respect to design, conduct & Analysis of clinical trials.
  • Worked in Phase I and II clinical trials, and developed code for safety and efficacy.
  • Assisted in providing SAS programming in the data analysis of phase I, II clinical trials.
  • Developed SAS programs uniquely to find out data errors and clean the data in clinical trials.
  • Created safety and efficacy tables for ISS and ISE from various phases of clinical trials.
  • Reviewed Protocols, Case Report Forms, and Statistical Analysis Plans for Clinical trials.
  • Created new analysis data sets from raw data sets for clinical trials.
  • Provide programming support primarily to Data Management for phase I-IV clinical trials.
  • Provided SAS programming and analysis support for Phase II clinical trials.
  • Provided SAS Programming and analysis support for clinical trials on Oncology.
  • Developed SAS Programs for different type Phases of clinical trials.
  • Analyzed Phase II Clinical Trials.
  • Involved in Phase II, III Clinical trials.
  • Created Pharmacokinetics concentration and PK parameter SDTM datasets for phase I clinical trials.
  • Involved in clinical trials, Data migration/extraction from flat files and SAS Datasets.
  • Analyzed Phase and Clinical Trials through SAS programming and by providing statistical support to Statisticians and Biostatisticians.

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28. Generate Reports

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Here's how Generate Reports is used in SAS Programmer jobs:
  • Developed and designed SAS/Macros to analyze financial data and to generate reports.
  • Developed regression models and generate reports using PROC REPORT, PROC TABULATE for consumer profiling, segmentation and targeting.
  • Used SAS/Base, SAS/Stat, SAS/Graph, SAS/Macro to implement statistical analysis procedures, generate reports and graphs.
  • Developed and used SAS Macro programs to generate reports, tables and listings for clinical and bio-statistical review.
  • Used Caching (Cache Technology) for fast retrieval of data to generate reports against data warehouse.
  • Developed Macro programs to clean, validate and update data to perform data analysis and generate reports.
  • Generate reports either in HTML, PDF or RTF formats according to the client specifications.
  • Generate Reports, Summary tables, Charts and Graphs for different users using SAS/ASSIST.
  • Utilized SQL, SPSS, and Crystal Reports to extract data and generate reports.
  • Created Macros, in order to generate reports daily, monthly basis.
  • Generate Reports in user required format by using ODS and PROC Report.
  • Generate reports for review by the individual laboratories, using SAS Report.
  • Worked with ODS commands to generate reports.
  • Used PROC PRINT, PROC REPORT, and PROC EXPORT and ODS to generate reports.
  • Generate reports using PROC REPORT, TABULATE, EXPORT ANDDATA_NULL AND PUT STATEMENTS.
  • Used various statistical procedures like ProcFreq, ProcReg, ProcAnova, Proc GLM to analyze data and generate reports.
  • Understand and document in house SAS optimization program and generate reports asper schedule.
  • Used Proc Report to generate reports.
  • Used ODS (output delivery system) extensively to generate reports in rtf and pdf format.
  • Used various statistical procedures like Proc Freq, Proc Reg to analyze data and generate reports.

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29. Business Requirements

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Here's how Business Requirements is used in SAS Programmer jobs:
  • Categorized the business requirements into functional/Non-functional/Business rules.
  • Developed new/modified macros for report generation using SAS / Macros as per business requirements.
  • Prepared Business Requirements Document, Functional Requirements Document, and Test case Document.
  • Convert business requirements into technical specifications using available tools and technologies.
  • Formalized Business Requirements into System Requirements for implementation by development groups.
  • Evaluated business requirements and prepared detailed specifications following project guidelines.
  • Worked on gathering, analyzing and documenting business requirements.
  • Convert business requirements into technical specifications using available resources.
  • Developed high level technical specification documents from business requirements.
  • Analyzed business requirements and develop effective technology solutions.
  • Translate complex business requirements into technical solutions.
  • Analyzed business requirements and test plans, which gave more insight of application logic, scope and test conditions.
  • Involved in JAD sessions for gathering business requirements and documentation to reduce the complexity of business process.
  • Consulted with end users, subject matter experts and other stakeholders to delineate and analyze business requirements.
  • Manage the creation, review, and approval process for BRD (Business Requirements Document).
  • Modify models to reflect any changes in business requirements and input data structure.
  • Worked on gathering business requirements and well documented in the Code Base.
  • Documented business requirements for necessary customizations to the new application and reviewed the customized components with the business and developer team.
  • Created business requirements that describes and translates systems' scopes and objectives into useable programming specifications.
  • Attend meeting with SAS Project Team as well as SAS Daily adjustment team to fulfil new business requirements.

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30. Adam

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low Demand
Here's how Adam is used in SAS Programmer jobs:
  • Generate SDTM and ADAM specification documents.
  • Created ADaM specifications by using study documents.
  • Created Table, Listings and Figures by using ADaM data sets.
  • Created ADaM data sets by using implementation guide and specifications.
  • Involved in QC of SDTM and ADaM data sets.
  • Modified the ADaM file specification (Variable Definition) based on Statistical Analysis Document (SAP, DPS and mockups.)
  • Involved in creating specifications documents for SDTM and ADaM using annotated CRFs, SAP, mock-shells and Implementation guide.
  • Interacted with statistician and generated ADaM datasets based on tables, listing and graph required for the submission.
  • Involved in creation of pooled analysis datasets and created tables, listings and graphs by using ADAM datasets.
  • Maintained CDISC Study Data Tabulation Model (SDTM) and Analysis Dataset Model (ADaM) standards.
  • Review SDTM specification and ADaM specification and annotate eCRF according to SDTM variables.
  • Developed analysis (ADaM) datasets for Post NDA Safety Review Updates.
  • Created several SDTM and ADaM datasets from the specifications / metadata.
  • Created SDTM compliance datasets and ADAM datasets according to CDISC standards.
  • Developed SDTM and ADaM datasets for Safety and Efficacy data.
  • Developed and validate SAS programs for SDTM and ADaM datasets.
  • Created ADaM datasets including ADAE, ADTTE, ADVS, ADQS, ADLB, ADMH, ADCM, ADEX, ADRS.
  • Created ADaM datasets based on ADaM implementations guide.
  • Involved in mapping the datasets and creating the datasets and statistical summaries/analysis using Analysis Dataset Model (ADaM) model.
  • Generated ADaM datasets from SDTM datasets as per the ADaM spec's and the SAP.

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31. Mainframe

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Here's how Mainframe is used in SAS Programmer jobs:
  • Extracted data from the Mainframe flat files using SAS, SAS SQL procedures and create SAS data sets.
  • Used SAS, Excel (PC & mainframe), and other methods to produce reports and documentations.
  • Developed and/or maintained departmental reports using PC SAS with Oracle, mainframe/Unix SAS, and Crystal Reports.
  • Provided technical support for installation and customization of mainframe software products such as SAS and NeuMICS.
  • Provided performance monitoring and tuning support for the clients' mainframe and mid- range computing facilities.
  • Use PROC SQL/IMPORT to import data from mainframe oracle clinical databases and MS excel sheets.
  • Developed JCL's to execute the SAS programs under mainframe environment (OS390).
  • Project involved the interaction of SAS on both the mainframe and UNIX environments.
  • Create Mainframe SAS Code and SQL quires for Partnership Benefit Monitor Control projects.
  • Monitored and troubleshot the SAS Programs on Mainframe OS.
  • Evaluated and reviewed bank application usage for mainframe systems.
  • Extracted the data from mainframe environment.
  • Prepared the JCL's for down loading the files from Mainframe.
  • Developed financial chargeback systems for in-house mainframe and telecommunications service usage.
  • Maintained Monthly / Quarterly Production cycle and submitted reports to staff via Mainframe and UNIX platforms.
  • Produced ad hoc reports upon request for all areas of Marketing Development using mainframe SAS.
  • Create SAS master file that was uploaded onto Oracle datasets on mainframe.
  • Assisted staff in converting legacy SAS mainframe code to SAS Eguide.
  • Check for Oracle constraints for uploading SAS datasets onto Oracle mainframe.
  • Worked on Mainframes and Hadoop.

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33. III

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Here's how III is used in SAS Programmer jobs:
  • Prepared, processed and analyzed clinical data required for analysis of clinical trials for Phase III studies with SAS programming.
  • Used analytic statistical techniques for modeling and predicting random processes describing the behavior in time of stage III clinical trial.
  • Generated various clinical reports, tables and developed data entry validation programs for Phase III clinical trial studies.
  • Generated Tables and Listings for Phase III studies for inclusion in Clinical study reports and regulatory submission.
  • Involved in writing of clinical trial reports (phase I-III), analyzing and presenting trial results.
  • Provided statistical programming support for the multiple Phase I, II, and III Clinical Studies.
  • Analyze the performance of the drug using SAS/STAT and determine its effectiveness following Phase III trials.
  • Prepared Various Tables and Reports for Phase II and Phase III clinical trial studies.
  • Involved in the process and IT infrastructures for Phase II and III Clinical Trials.
  • Worked as a Primary programmer of phase III and phase IV of clinical trials.
  • Analyzed the Clinical data of Phase II and Phase III for Oncology study.
  • Analyzed Phase I to Phase III Clinical Trials data.
  • Experience monitoring Phase III clinical trials.
  • Analyzed Phase I, II and III Clinical Trials.
  • Supported Phase III B group with all Adhoc requests from Health outcome and Marketing department for pursuing future drug.
  • Create and validate ADAM / derived safety and efficacy datasets (phases I, II and III).
  • Generated CSR tables for OTC submission of Phase III studies for Gastro Intestinal disease therapeutic group.
  • Modified Tables and Datasets in Phase III study according to the requirements of the statisticians.
  • Used SORT, MERGE, SET statements and created final datasets for analysis Analyzed Phase II and III Clinical Trials.
  • Created SDTM, ADaM datasets as per CDISC standards for phase I, phase II and III trials.

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34. QC

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Here's how QC is used in SAS Programmer jobs:
  • Perform statistical analyses and QC statistical output.
  • Performed QA and QC functions to ensure matching code, record count, output and formats reports.
  • Participate in the review of design phase, Statistical Analysis Plans, QC Specifications and Database Structures.
  • Develop and perform QC on PK/PD data file; Produce and perform QC on draft tables.
  • Run QC programs to make sure the completed data mapping has no issues at all.
  • Performed QC, Data validation and edit checks using various procedures and SAS macro facility.
  • Developed SAS programs, including supervising SAS QC Programmer, for clinical data solutions provider.
  • Develop appropriate QC programs as defined at kick-off or by the sponsor.
  • Performed QC Checks for output files and loaded them into History Database.
  • Validated the generated TLG's accordingly to the QC tracking sheet.
  • Validated the generated reports according to QC tracking sheet.
  • Conduct program validation and QC according to established standards.
  • Mentored new employees in the use of ETL tool and QC process.
  • Created analysis datasets as production programmer and validated them as QC programmer.
  • Performed Quality control (QC) by validating datasets, tables, and listings produced by other SAS programmers.
  • Participated in the validation/QC of SAS programs, analysis datasets, listing and data entry.
  • Perform QC on tabulations, graphs, listings and datasets created by others.
  • Performed Validation and QC of datasets, tables, listing and graphs.
  • Performed QA/QC of submission SAS datasets.
  • Experienced in validation (QC) of Programs, Analysis Datasets and TLGs as per SAP.

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35. CRF

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Here's how CRF is used in SAS Programmer jobs:
  • Acquired knowledge in Clinical Trial terminology, Clinical Trial Phases, clinical protocols/ CRF's/Annotated CRF's, ICH and GCP guidelines.
  • Developed SAS programs to generate baseline, follow-up, drug safety reports and reviewed the Protocols, CRF's etc.
  • Experience in Creating Custom domains when information on CRF could not be mapped to standard domain.
  • Performed edit check and data cleaning program according to CRF and validation plan.
  • Reviewed CRF and protocol to determine baseline and end of study visits specifications.
  • Reviewed protocol, CRF, SAP for various clinical trials.
  • Reviewed protocol and Case Report Forms (CRF's).
  • Created analysis data sets by referring SAP, CRF.
  • Involved in CRF-Annotation with respect to various database designs.
  • Performed CRF review, design and quality check.
  • Developed Annotated CRF Pages for the study protocols.
  • Programmed datasets in using mapping specifications, define specifications from CRF data and managed SDTM database for several protocols.
  • Coordinated and maintained SAS programming activities supporting Target eCRF development and data management activities.
  • Support development of Oncology Standard eCRFs, Oncology Data standardization
  • Developed data management study documentation including Case Report Forms, CRF Completion Guidelines, and annotated CRFs.
  • Involved in designing database, data collection guidelines, CRF and developed analysis datasets.
  • Worked with Case Report Forms (CRFs) during database design.
  • Provided data management deliverables such eCRF specifications, Data Validation Specifications (DVS) and review the data management plan.
  • Developed macros to automate the process like creating CRF datasets and automate documentation of output datasets.
  • Involved in creating Annotated CRFs and Transport datasets in .XPT format for client.

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36. Data Manipulation

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low Demand
Here's how Data Manipulation is used in SAS Programmer jobs:
  • Provided technical support on SAS programming related to data manipulation and analysis.
  • Extract data from relational databases and perform complex data manipulations.
  • Performed data cleaning and data manipulation to support routing.
  • Retail credit risk data manipulation and transformation and deliver BI solutions to internal business customers using SAS and related tools.
  • Worked on various studies from phase I to Phase IV involving both data manipulation and statistical programming.
  • Write SAS scripts to handle high volume data manipulation and loading to TeraData /Oracle database tables.
  • Performed data manipulation such as data step manipulation, sorting, merging, concatenating.
  • Performed data manipulations on data stored in Oracle using SQL Assistant and PROCSQL.
  • Evaluated various tables using data manipulation techniques like Merging, Appending and Sorting.
  • Carried out Data extraction and Data manipulation techniques using PROC SQL.
  • Used SAS/EG in multi-user environment for intermediate data manipulation, analysis and summary statistics.
  • Generated derived key analysis datasets from specifications with complex data manipulation using data step.
  • Performed SAS programming using techniques as SAS Base, SAS Macro, data manipulation techniques, and statistical procedures (e.g.
  • Developed and executed Proc SQL queries for data manipulation activities like merging, concatenating, and updating large volumes of data.
  • Generated analysis datasets from specifications with complex data manipulation using DATA steps and PROC SQL.
  • Involved in data manipulation on SAS datasets techniques such as merging, concatenating and sorting.
  • Utilized Data step and Procs to do data manipulation, analysis and reporting.
  • Performed data cleansing assignments as a part of project work Did extensive data manipulation of the SDTM model on clinical datasets.
  • Imported raw data files in excel format in SAS and subsequently created SAS Datasets and performed data manipulations on the datasets.
  • Well versed with DATA _NULL_, SAS Formats, Informats, Functions, DATA Manipulation and Report.

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37. Pl/Sql

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low Demand
Here's how Pl/Sql is used in SAS Programmer jobs:
  • Developed stored procedures using Oracle PL/SQL for user-prompted report generation.
  • Performed enhancements to PL/SQL packages/procedures.
  • Review data transformation rules and provide technical suggestions in data transformation logic and pseudo code (PL/SQL) program asynchronously.
  • Worked with SQL, and PL/SQL extensively to solve database problems to make database effective and efficient tuning purpose.
  • Designed & developed various departmental reports by using SAS, Micro Strategy, SQL, PL/SQL, Ms Excel.
  • Involved in extensive PL/SQL programming and Oracle DBA activities like creating database, Space management and Security management.
  • Involved in debugging and Tuning the PL/SQL code, tuning queries, optimization for the Oracle database.
  • Created batch processes that loaded data into and extracted data from the survey database using PL/SQL.
  • Automated Quality Check tasks by creating PL/SQL procedures, cursors, functions and dynamic SQL.
  • Write Procedural Language SQL (PL/SQL) query for data manipulation and data analysis.
  • Modified existing codes and developed PL/SQL packages to perform Certain Specialized functions.
  • Coded and validated the PL/SQL programs.
  • Analyzed the data & build data warehouses by using SQL, PL/SQL, and SAS.
  • Developed SAS macro: %FLATPUTS to automatically convert SAS datasets to PL/SQL required column input syntax utilizing SAS Library functions.
  • Extracted data from existing data source and performed ad-hoc queries by using SQL, PL/SQL, Ms Access and UNIX.
  • Generated SAS/ MACROS and several PL/SQL stored procedures for reusability and to minimize data processing.
  • Created and validated Oracle clinical procedures and Oracle data lists using ad-hoc PL/SQL scripts.
  • Designed & developed various ad hoc reports (Oracle SQL, PL/SQL).
  • Import and update clinical data from database Clintrial with PL/SQL.
  • Used Proc SQL and PL/SQL to join tables.

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38. Summary Reports

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low Demand
Here's how Summary Reports is used in SAS Programmer jobs:
  • Used various Statistical procedures for analyzing data and creating summary reports.
  • Provided summary reports and do statistical analysis using macros.
  • Generated summary reports and descriptive statistics.
  • Prepare clinical and statistical summary reports.
  • Developed summary reports for safety.
  • Used MS Excel to export data from the operational data store (oracle database) and generate visual summary reports.
  • Generated summary reports for ISS and ISE analyses of clinical study for FDA regulatory submissions and publications.
  • Created various summary reports of total dales, regional sales and account sales of various partners.
  • Analyzed response and sales results and draft summary reports on campaign performance.
  • Conducted validation of SAS programs and summary reports.
  • Generated Ad-Hoc reports for analyses datasets and summary reports and listings in very critically limited time periods.
  • Designed and Developed complex SAS programs and created new datasets from raw files using import techniques and created detailed summary reports.
  • Developed ad hoc reports as per business requirements and created various reports like summary reports, tabular reports.
  • Created Summary Reports with Proc Report and added Summary Breaks, Statistics to Output.
  • Created and maintained SAS programs to generate derived datasets and required summary reports.
  • Developed various MACROs for summary reports, listings and figures.
  • Created Summary Reports and tabular reports using Proc Report.
  • Created and maintained SAS programs to generate derived datasets and required summary reports for other teams to build ADaM models.
  • Import and export raw data files Combine SAS data sets Create basic detail and summary reports using SAS procedures.
  • Generated summary reports and descriptive statistics using Proc Means, Proc Freq, and Proc Univariate.

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39. CSV

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low Demand
Here's how CSV is used in SAS Programmer jobs:
  • Convert different file formats (XML, XLS, and CSV) into Flat-files and load them into staging tables.
  • Imported Data from Excel, CSV, Tab, DLM and flat files into SAS using various importing techniques.
  • Imported and transformed a large data file from Excel and CSV files by using SAS programming.
  • Developed automated reporting of data into CSV files and ODS output using SAS.
  • Used FTP to download SAS Formatted Data into EXCEL AND CSV format.
  • Used ODS to display outputs in HTML, CSV, XML or other file formats.
  • Transacted with various formats of data; flat files, CSV, XLS; to create and maintain large datasets.
  • Developed New SAS programs to generate new reports in HTML, XML, CSV and txt formats.
  • Imported data and created SAS datasets from flat files of various formats, including CSV, etc.
  • Imported/Converted randomization data files from Excel, .CSV data files into SAS data sets for analysis.
  • Generated reports in EXCEL, PDF, CSV and Text format files for Healthcare Reporting.
  • Developed programs to create daily HTML reports using ODS and CSV reports using Proc Export.
  • Imported data from Excel, CSV and text files to convert into SAS datasets.
  • Used winscp to transfer EXCEL AND CSV format files from UNIX environment to windows.
  • Used Data _Null_ to export the data to raw file and CSV file.
  • Converted CSV tables and excel tables into SAS datasets.
  • Extracted raw data from Oracle clinical, Excel and CSV to SAS datasets using PROC SQL and PROC IMPORT.
  • Used SAS import procedure to generate temporary and permanent SAS data sets from txt, csv and excel data sets.
  • Created .CSV files using Data _Null_ to be used for reporting purposes in Excel.
  • Developed SAS software that loads information from vendors files in csv, txt, and excel formats into SAS data sets.

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40. Statistical Reports

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low Demand
Here's how Statistical Reports is used in SAS Programmer jobs:
  • Performed statistical analysis, provided databases and statistical reports of the data collected for various generic products.
  • Produced statistical reports for various business needs and expertise in data preparations, data cleaning and analysis.
  • Generate summary tables and develop different types of statistical reports.
  • Involved in preparing analysis plans and statistical reports.
  • Conducted and generated Daily, Weekly and Monthly statistical reports based on the routine analysis in Dashboard using Business Object.
  • Generated various statistical reports using Excel, PROC REPORT, SAS/GRAPH and PowerPoint for presentation to the marketing groups.
  • Developed SAS programs for creating intermediate data sets, generating statistical reports and graphs as per statistical analysis plan.
  • Used Stats PROC ANOVA and PROC MEANS for Statistical Reports using data queries on Excel sheets and MS Access.
  • Involved in preparing analysis plans, data analysis and programming of patient profiles for statistical reports using SAS/STAT.
  • Conducted and generated the Regression, Correlation studies and Analysis of Variance (ANOVA) statistical reports.
  • Provided statistical reports for modelers, and analysts to refine targeted populations, and control groups.
  • Created different statistical reports(tables, listings, graphs) for safety analyses 19.
  • Utilized SAS to extract data from M204 mainframe and create statistical reports.
  • Develop SAS programs to generate randomization lists, statistical reports and graphs.
  • Presented the results and statistical reports in PowerPoint for marketing staff.
  • Developed statistical reports by using PROC REPORT and SAS MACROS.
  • Used SAS/STAT to create different statistical reports as required.
  • Developed and modified SAS programs for statistical reports.
  • Generated SAS dataset and statistical reports.
  • Used SAS procedures like tabulate, report, means and proc sql to generate clinical trial statistical reports as per requirements.

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41. Ms-Excel

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low Demand
Here's how Ms-Excel is used in SAS Programmer jobs:
  • Created survival graphs in MS-Excel by transporting SAS data sets into Excel spreadsheets.
  • Worked extensively with MS-Excel, using pivot tables and creating OLAP cubes.
  • Convert MS-Word documents, MS-Excel, SQL tables into data sets.
  • Converted MS-Excel, text files and into SAS data sets.
  • Performed data extraction from MS-Excel tables into SAS data sets.
  • Used SAS procedures for Importing and Exporting data to MS-Excel.
  • Convert MS-Excel, MS-Access tables into SAS data sets.
  • Converted MS-Excel files to SAS datasets and applied SAS/ODS for producing different output formats as per requirements.
  • Converted MS-EXCEL tables into SAS data sets by using Proc import.
  • Converted MS-Excel files to SAS Datasets.
  • Performed Presentation with Power Point to Team and Clients Skills Used SAS, MS-Excel, cluster analysis, discriminant analysis, Kmeans

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42. Integration Studio

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low Demand
Here's how Integration Studio is used in SAS Programmer jobs:
  • Created custom transforms in Data integration studio for developers.
  • Create SAS metadata objects in a SAS metadata repository and Implement into data integration studio job for all MDA related requirements.
  • Analyzed the oracle data warehouse to design the ETL process and implement the Business logic required using Data Integration Studio.
  • Developed and implemented process to migrate SAS Windows repositories created within SAS Data Integration Studio to SAS Unix repositories.
  • Performed Extraction, transformation & loading (ETL) & Data Cleansing with SAS Data Integration Studio.
  • Used Data integration studio to create jobs and deploy jobs for scheduling using various schedulers.
  • Created various transformation procedures by using SAS Data Integration Studio, and SAS Enterprise Guide.
  • Used SAS Data Integration Studio and SAS Enterprise Guide to import SAS programs.
  • Involved in scheduling the existing reports using UNIX and SAS Data Integration Studio.
  • Used Data Integration studio transformations to create process flows and stored processes.
  • Used SAS Data Integration Studio for designing and modeling data.
  • Lead programmer in charge of contractors off shore Worked on SAS/BI tool Web Report, Data integration Studio.
  • Registered the developing SAS datasets in the SAS Data Integration Studio Environment.
  • Lead SAS developer Lead automation developer for LSF/Data Integration Studio Project manager for technical projects.
  • Created ETL workflows in SAS/Data Integration Studio to populate the analytical data marts for business reporting.

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43. Large Data

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low Demand
Here's how Large Data is used in SAS Programmer jobs:
  • Utilized SAS for manipulation and statistical analysis of large data sets to identify trends, relationships and statistical significance.
  • Conducted behavioral analysis with large data on various promotional campaigns to support the market research department.
  • Experience in handling Large Data sets, Awareness of Data Quality issues, and familiarity with programming in a research environment.
  • Analyze the large data sets using statistical procedures such as ANOVA, Correlation procedures to conclusively determine the effectiveness.
  • Maintained large data sets, combined data from various sources in varying formats to create SAS data sets.
  • Maintained large data sets, combined data from various sources in varying formats using set and merge.
  • Experience in handling large databases and merging tables with millions of rows and creating test cases.
  • Manipulated large data sets, data validation and corrections, uploading/downloading data from multiple sources.
  • Analyzed large data sets and created customized reports using PROC REPORT and PROC TABULATE.
  • Developed SAS programs to extract, transform, clean and manage large data files.
  • Performed data cleansing, validation for large data sets.
  • Analyzed large data sets consisting of million records.
  • Involved in Add Base Column project whereby adding columns to large datasets according to the project requirements.
  • Worked with large data sets (15+ million records) using Pass Thru SQL technique.
  • Worked on several mailing programs, maintained large datasets on SAS and UNIX file systems.
  • Task involved working with very large datasets, developing blocking methods.
  • Worked with large data sets and transactional data.
  • Created large datasets by combining several datasets using inner and outer joins in SAS SQL and BASE SAS merging techniques.
  • Created large datasets by combining individual datasets using various inner and outer joins in SAS/SQL and dataset merging techniques of SAS/BASE.
  • Concatenated multiple datasets to single large datasets and created multiple datasets from single large dataset.

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44. Console

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low Demand
Here's how Console is used in SAS Programmer jobs:
  • Monitored and validated all SAS Servers using Management Console.
  • Project Goals: To provide a single point of control for managing the enterprise intelligence creation process with SAS Management Console.
  • Implemented application using SAS stored processes, SAS/OLAP, SAS Management Console, AS data Integration Studios and Oracle database.
  • Manage folder permissions and structure through Putty and SecureCRT console sessions at command-line level (HP-UX and AIX).
  • Involved in complete validation of all the SAS programs used, accessed and manipulated libraries using SAS management console.
  • Job scheduling using SAS Management Console and monitoring jobs using Process Flow Manager and using commands on UNIX.
  • Work with the SAS Enterprise Guide 4.3 and SAS Management Console 9.2 and SAS Information delivery Portal.
  • Perform tasks of user authentications, deploying jobs for scheduling using SAS Management Console.
  • Used SAS Management Console to create libraries and provide controlled access to the Users.
  • Utilize SAS Management Console to set-up stored process GUI for SAM reporter.
  • Scheduled jobs on a weekly and monthly basis using SAS Management Console.
  • Created Base SAS and other SAS Database libraries in Management console.
  • Managed the user's roles and responsibility in the Management console.
  • Used SAS management console for managing different resources on the server.
  • Configured and administrated the SAS environment trough SAS Management Console.
  • Created process flows and scheduled jobs in SAS Management console.
  • Created users and assign them role in the management console.
  • Created User Permissions using SAS Management Console.
  • Used metadata backup script and management console to backup SAS metadata and restored metadata when required.
  • Develop and Manage SAS Meta objects using SAS Management Console and configuring Meta data repositories.

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45. Descriptive Statistics

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low Demand
Here's how Descriptive Statistics is used in SAS Programmer jobs:
  • Performed quantitative statistical analysis and produced report with descriptive statistics, tables and charts.
  • Provided descriptive statistics for the continuous and categorical variables using basic statistical procedures.
  • Provide different statistical analysis using descriptive statistics as per the requirement of project.
  • Modified existing macros to report summary/descriptive statistics as well as inferential statistics.
  • Developed Macros to replace repetitive codes for generating Descriptive statistics.
  • Produced quality customized reports by USING PROC TABULATE, REPORT, AND SUMMARY and also provided descriptive statistics using different Procedures.
  • Merged, cleaned and validated raw data of patients with Hyperglycemia in SAS - Produced summary tables for descriptive statistics
  • Started with the graphical tools and numerical descriptive statistics to explore the variables, and built several models.
  • Used SAS STAT for descriptive statistics analysis, Frequency distributions and to present results in histograms and box-plots.
  • Create and modify existing SAS macros to report summary / descriptive statistics as well as inferential statistics.
  • Used SAS/STAT for descriptive statistics analysis i.e.
  • Provided descriptive statistics using PROC SUMMARY, PROC MEANS, and PROC FREQ.
  • Provided descriptive statistics using PROC MEANS, PROC FREQUENCY and PROC UNIVARIATE.
  • Produced quality customized reports by using PROC REPORT and also provided descriptive statistics using PROC Means, Frequency, Univariate.
  • Generated tables, listings and graphs using SAS, Creating enhanced list and summary reports, producing descriptive statistics.
  • REPORT, SUMMARY and also provided descriptive statistics using PROC-Means, Frequency and Univariate.
  • Run descriptive statistics and statistical analysis on variables for analytical processes to generate reports using Proc Report.
  • Created descriptive statistics using Proc Means, Proc Freq, and Proc Univariate.
  • Used the Procedures like Proc Freq, Proc Tabulate, Proc Summary, Proc Univariate for descriptive statistics analysis.
  • Analyzed descriptive statistics using various Proc Means, Proc Freq, Proc Summary, Proc SQL and Proc Univariate.

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46. Adverse Events

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low Demand
Here's how Adverse Events is used in SAS Programmer jobs:
  • Generated interpretive charts, tables and reports in accordance with regulations including patient demography, discontinuation, and adverse events.
  • Developed safety tables including Adverse Events (AE), Vital signs, Laboratory values, ECG and Concomitant medications.
  • Entered all relevant data like demographics, concomitant medication, and Adverse Events (AE) into oracle database.
  • Created standard Safety tables for Adverse Events, Concomitant Medications, Electrocardiograms, Vital Signs, and Labs.
  • Generated tables, listings and graphs, including Patient Demography and Characteristics, Adverse Events, and Laboratory.
  • Created Cleansing Reports and prepared Listing reports per serious and non-serious adverse events of company post-marketed drug data.
  • Generated detailed report with relevant medical details in XML for each and every patient who had adverse events.
  • Generated tables, listings and graphs for Demography Characteristics, Adverse events, Laboratory and Vital signs etc.
  • Handled several clinical trial data which include demographic, adverse events, vital signs and lab data.
  • Utilized MedDRA and WHO-DRUG dictionaries in creating summary tables for Adverse Events and Concomitant medications respectively.
  • Generated tables and listing for demographic and adverse events for all grades.
  • Created analysis datasets including populations, demographics, baselines, generic treatments, efficacy safety endpoints, adverse events etc.
  • Perform statistical analysis on laboratory and adverse events data for the generation of integrated safety and efficacy reports.
  • Worked on O-CDARS tables (pre-formatted standard tables for some categories line Adverse Events, Demographics etc.)
  • Decoded SAS codes written by FDA programmers for MEDdra Adverse Events Diagnostic (MAED) service tool.
  • Prepared analysis panel specification document for MEDdra Adverse Events Diagnostic (MAED) services for FDA.
  • Developed ad-hoc request reports using SAS ODS for Lab data, Adverse Events etc.
  • Created SAS datasets like Demographics, Adverse Events, Labs, Vital signs.
  • Assisted the development team in understanding MEDdra dictionary structure, applying Systematic MEDdra Queries (SMQs) to Adverse Events data.
  • Created adverse events analysis datasets by merging the up to date MedDRA dictionary with primary SOCs.

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47. ISE

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low Demand
Here's how ISE is used in SAS Programmer jobs:
  • Handled Dropouts and Missing Data by using traditional approach of generating Last-Observation-Carried-Forward (LOCF) data on Visit-wise data.
  • Used Enterprise guide 4 to write the stored procedures, Generate Reports and also performed Data and Statistical analysis.
  • Involved in generating IND reports (ISS & ISE) as per the requirements from statistician and SAP.
  • Analyzed various data formats using SAS Enterprise Guide & Generated Web Based Reports using SAS Web Report Studio.
  • Provide administration and support for SAS products during deployment or any other enterprise activity that impacts SAS.
  • Involved in preparing study results as well as ISS and ISE for NDA submissions using SAS.
  • Created standard TLG's for ISS, ISE, CSR and Exploratory analysis for regulatory submission.
  • Provided statistical programming expertise in the production of analysis, tabulations, reports and listings.
  • Worked within the SAS BI Enterprise utilizing an Oracle database and Windows server environment.
  • Communicated analysis results to the marketing team in a concise, easily understandable format.
  • Advised and assisted in writing the work instructions for the epidemiology department.
  • Helped various team members in setting up SAS Enterprise Guide environment.
  • Work with Enterprise Miner for marketing campaigns doing statistical analysis.
  • Developed Decision Tree Analysis using SAS Enterprise Miner.
  • Analyzed various data formats using SAS Enterprise Guide.
  • Conducted data investigation using SAS Enterprise Guide.
  • Validated ISS/ISE Tables and Reporting.
  • Provided project-based expertise in SAS to develop, enhance, and maintain SAS programs for reporting and analytics.
  • Analyzed, monitor and maintain the enterprise SAS application Maintained current licensing and releases of SAS.
  • Used SAS Enterprise Guide Extensively to run adhoc processes and for testing code.

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48. Proc Template

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low Demand
Here's how Proc Template is used in SAS Programmer jobs:
  • Used PROC TEMPLATE to customize the reports in spreadsheet with footnotes, titles, and pages numbers along with image logos.
  • Created TEMPLATES to modify the appearance of the displayed ODS tables using PROC TEMPLATE.
  • Generated listings and reports from SAS programs using MACROS, ODS and PROC TEMPLATE/REPORT/TABULATE.
  • Used ODS statements and PROC TEMPLATE to create reports in style format.
  • Created reports using PROC REPORT, PROC TABULATE, ODS statements and PROC TEMPLATE to generate output formats in HTML.
  • Created reports in PDF and RTF format using SAS/ODS and PROC TEMPLATE.
  • Created Ad hoc reports using the SAS procedures and PROC TEMPLATE to generate different output formats like HTML, PDF.
  • Created reports in PDF, HTML, XML, RTF using ODS statements and proc template.
  • Created reports using Proc Report, Proc Tabulate, and Proc Template and export them to the web.

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49. Information Map Studio

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low Demand
Here's how Information Map Studio is used in SAS Programmer jobs:
  • Used SAS Web Report Studio, Information map Studio, SAS Intranet and other SAS BI (Business Intelligence) objects.
  • Used OLAP Cube studio and Information map studio to create Cubes and maps to present input for SAS web report studio.
  • Created Information Maps for building the Web Based Reports of the Maps using Information map Studio & Web Report Studio.
  • Generated Information Maps using Information Map Studio and created Ad-Hoc reports on need basis using SAS Web Report Studio.
  • Involved in designing information maps and web reports using Information Map Studio and Web Report Studio.
  • Used SAS Information Map Studio to create MAPS objects by applying business logic to Source data.
  • Created the row and column securities for the data using Information Map Studio.
  • Used SAS Information Map Studio to create logical mappings from reporting data.
  • Created information maps using Information map studio.
  • Imported SAS datasets from SAS Management Console to SAS Information Map Studio.
  • Used Information Map Studio for creating IMAPS from SAS datasets/stored process/cube.

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SAS Programmer Jobs

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20 Most Common Skills For A SAS Programmer

Proc SQL

23.9%

SAS

20.8%

SAS Procedures

9.5%

Sas/Sql

5.4%

Data Analysis

3.9%

Unix

3.6%

Sas/Stat

3.3%

Windows XP

3.3%

Data Warehouse

3.3%

Summary Tables

2.9%

Sas/Graph

2.9%

Sas/Ods

2.7%

Html

2.6%

RTF

2.0%

Ad-Hoc

2.0%

PDF

1.9%

Teradata

1.7%

Sas/Connect

1.5%

Raw Data Files

1.4%

DB2

1.3%
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Typical Skill-Sets Required For A SAS Programmer

Rank Skill
1 Proc SQL 19.9%
2 SAS 17.3%
3 SAS Procedures 7.9%
4 Sas/Sql 4.5%
5 Data Analysis 3.2%
6 Unix 3.0%
7 Sas/Stat 2.8%
8 Windows XP 2.7%
9 Data Warehouse 2.7%
10 Summary Tables 2.4%
11 Sas/Graph 2.4%
12 Sas/Ods 2.3%
13 Html 2.1%
14 RTF 1.7%
15 Ad-Hoc 1.7%
16 PDF 1.6%
17 Teradata 1.4%
18 Sas/Connect 1.3%
19 Raw Data Files 1.2%
20 DB2 1.1%
21 SQL 1.0%
22 ETL 0.9%
23 Efficacy 0.9%
24 Sdtm 0.9%
25 Cdisc 0.8%
26 FDA 0.8%
27 Clinical Trials 0.8%
28 Generate Reports 0.8%
29 Business Requirements 0.6%
30 Adam 0.6%
31 Mainframe 0.6%
32 Report Studio Reports 0.6%
33 III 0.6%
34 QC 0.5%
35 CRF 0.5%
36 Data Manipulation 0.5%
37 Pl/Sql 0.5%
38 Summary Reports 0.5%
39 CSV 0.5%
40 Statistical Reports 0.5%
41 Ms-Excel 0.4%
42 Integration Studio 0.4%
43 Large Data 0.4%
44 Console 0.4%
45 Descriptive Statistics 0.4%
46 Adverse Events 0.4%
47 ISE 0.3%
48 Proc Template 0.3%
49 Information Map Studio 0.3%
{[{skill.rank}]} {[{skill.name}]} {[{skill.percentageDisplay}]}%
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