1 to 25 of 116 SAS Jobs

etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelor's degree in BI, finance More ❯

work closely with biostatisticians, data managers, and clinical teams to develop high-quality statistical programming deliverables in compliance with regulatory requirements and industry standards. Responsibilities Develop, validate, and maintain SAS and R programs for data analysis, visualization, and reporting of clinical trial data. Generate CDISC SDTM datasets, analysis datasets (ADaM), tables, listings, and figures (TLFs) for clinical trial reports … 21. Define xml and reviewer guide experience is a plus. Qualifications Minimum 8 years of experience in statistical programming within clinical trials or pharmaceutical/biotechnology industries. Proficiency in SAS programming with experience in Advanced SAS, SAS/STAT, and SAS Macro development. Strong experience in R programming for statistical analysis and visualization. Hands-on experience More ❯

support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks) Proficiency More ❯

software Experience designing and developing code using Java and JavaScript Experience developing CI/CD pipelines with GitHub and Git Actions Experience as a Mulesoft developer Experience as a SAS Viya Administrator Experience developing code in C# Preferred Skills: Proven ability to write well designed, testable, efficient code by using best software development practices Excellent oral and written communication More ❯

etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelor's degree in BI, finance More ❯

to senior-level audiences. Coach direct and indirect reports on personal growth and analytical skills by conducting training on leading analytical tools and techniques including Hadoop, Hive, Python, R, SAS, Scala, Spark, Power BI and SQL. This position will require up to 10% travel within the U.S. to client sites and other EXL offices. Position may work at various More ❯

culture within the team. Skills & Attributes: Proven experience in a credit risk analytics role, preferably within banking or financial services. Exceptional accuracy and attention to detail. Strong proficiency in SAS, SQL or Python for data analysis and modelling. Hands on experience with credit risk strategy development, credit scoring and decision analytics. Excellent problem-solving skills with the ability to More ❯

that enhance financial reporting, budgeting, and operational efficiency. The ideal candidate has a strong background with financial data systems in higher education, proficiency in tools such as SQL, R, SAS, Tableau, and Power BI, with a passion for improving processes in a large, complex academic institution. This position is a contract appointment that is 100% fixed, and ends three More ❯

systems, including MS Excel spreadsheets and MS Access databases; data visualization tools, including MS Excel, Tableau, and Snowflake; and Agile methodologies, C++, ER-win, MySQL Server, Python, R, RDBMS, SAS, Scrum methodologies, and SQL. Telecommuting is available up to 2 days per week. Job Location: New York, NY Rate of Pay: $80,000.00 - $155,000.00 annually Any interested candidate More ❯

predictive analytics Proven ability to work with large datasets across disparate relational databases and familiarity with various database technologies Proficient in statistical programming languages such as SQL, R, Python, SAS, and/or Stata Preferred Qualifications: Working knowledge of healthcare claims data analysis Excellent analytical, financial, and business acumen, with the ability to translate data into compelling business cases More ❯

predictive analytics Proven ability to work with large datasets across disparate relational databases and familiarity with various database technologies Proficient in statistical programming languages such as SQL, R, Python, SAS, and/or Stata Preferred Qualifications: Working knowledge of healthcare claims data analysis Excellent analytical, financial, and business acumen, with the ability to translate data into compelling business cases More ❯

predictive analytics Proven ability to work with large datasets across disparate relational databases and familiarity with various database technologies Proficient in statistical programming languages such as SQL, R, Python, SAS, and/or Stata Preferred Qualifications: Working knowledge of healthcare claims data analysis Excellent analytical, financial, and business acumen, with the ability to translate data into compelling business cases More ❯

predictive analytics Proven ability to work with large datasets across disparate relational databases and familiarity with various database technologies Proficient in statistical programming languages such as SQL, R, Python, SAS, and/or Stata Preferred Qualifications: Working knowledge of healthcare claims data analysis Excellent analytical, financial, and business acumen, with the ability to translate data into compelling business cases More ❯

Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects Proficiency in cloud platforms (AWS, Azure, GCP). Knowledge of CI/CD pipelines More ❯

in key projects and initiatives. Qualifications and Skills: Skills Required: Extensive experience working with decision systems platforms (FICO systems, Provenir, SDS/PowerCurve, etc.). Programming proficiency in Python, SAS, or SQL (multiple languages advantageous). Advanced coding skills in R, Python, Java, or SQL System testing. Proficiency with testing capabilities within decision management platforms. Knowledge and understanding of More ❯

conducting statistical analysis, testing, and modeling using regression analysis, linear regression, predictive modeling, chi-squared, clustering (K-means, density, etc) • Experience using tools such as tools such as MATLAB, SAS, and InfoSphere • Experience with a combination of database tools and cloud components supporting ETL, such as: SQL, mySQL, and Data Lakes, AWS S3, IBM Cloud, and/or Microsoft More ❯

or more programming languages such as JavaScript, Python, or R for processes, repeatability, efficiency, knowledge capture, hypothesis testing, visualization, and process automation. Familiarization with modeling software (eg. FME, SPSS, SAS) for processes, repeatability, efficiency, knowledge capture, hypothesis testing, visualization, and process automation. Demonstrated experience programmatically connecting to database and web-based data sources. Demonstrated knowledge and experience in data More ❯

maintaining home price models used to value mortgage-backed securities. Strong quantitative, analytical and problem solving skills Experience working with large data sets and conducting regression analysis Proficiency in SAS or equivalent, Excel, Linux/windows environments Excellent verbal and written communication and interpersonal skills BA/BS in Mathematics, Statistics, Economics, or other quantitative field We'd love More ❯

Strong communication and storytelling capabilities Ability to build macros in Excel and organize data in Access Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.) Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Great attention to detail Ability to More ❯

of education, training and experience in lieu of degree Req • Knowledge of statistics, programming and/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro Language • Good organizational, interpersonal, leadership and communication skills • Ability to effectively manage multiple tasks and projects • Excellent accuracy and attention to detail More ❯

Oracle/Cerner CPAM Billing and claims platforms: SSI Clearinghouse, 3M 360 Encompass (Institutional & Professional Coding), Alpha II Claim Scrubber, RevSpring Data analysis/reporting tools: Excel, Power BI, SAS, Tableau, HealtheAnalytics Reports and dashboards: HealtheAnalytics, Discern Reporting Portal, Lights On Network Subject matter expertise in one or more of the following RCM domains: Patient Accounting, Supply, PathNet, Business More ❯

quantitative/risk content " 8+ years of experience in related/relevant areas " Previous exposure to large projects involving technical IT considerations " Strong technical knowledge with any of these (SAS, SQL, Python, Tableau, BI Tools, Qlik Sense etc.) " Knowledge of banking wholesale credit risk " Proven ability to manage high volume data with embedded data quality procedures " Understanding of banking More ❯

digital transformation in R&D Basic technical fluency in data systems, APIs, or machine learning concepts Basic fluency in analytics/statistical methods and software including SQL, Python, R, SAS, etc. Experience conducting user research or usability testing in a regulated or complex domain Product managemen t experience Agile or continuous improvement experience MBA or consulting experience Why Choose More ❯

digital transformation in R&D Basic technical fluency in data systems, APIs, or machine learning concepts Basic fluency in analytics/statistical methods and software including SQL, Python, R, SAS, etc. Experience conducting user research or usability testing in a regulated or complex domain Product managemen t experience Agile or continuous improvement experience MBA or consulting experience Why Choose More ❯

systems: Oracle/Cerner CPAM Billing/claim systems: SSI Clearinghouse, 3M 360 Encompass, Alpha II Claim Scrubber, RevSpring (Patient Statements) Data analytics and reporting tools: Excel, Power BI, SAS, Tableau, HealtheAnalytics, Discern Reporting Portal, Lights On Network More ❯