1 to 25 of 74 SAS Jobs

Within the department of Data Sourcing and Distribution (DSD), part of Data Office COO at APG Asset Management, we are looking for an experienced SAS DWH developer who is forward thinking. We are looking for a skilled and forward-thinking Data Warehouse Developer to join our Data Warehouse Team. … will play a key role in maintaining and enhancing our existing SAS-based Data Warehouse (DWH) while actively contributing to the modernisation and redesign of the future-state platform in Azure Databricks. The ideal candidate combines solid DWH development experience with SAS, SQL, and ETL frameworks

Within the department of Data Sourcing and Distribution (DSD), part of Data Office COO at APG Asset Management, we are looking for an experienced SAS DWH developer who is forward thinking. We are looking for a skilled and forward-thinking Data Warehouse Developer to join our Data Warehouse Team. … will play a key role in maintaining and enhancing our existing SAS-based Data Warehouse (DWH) while actively contributing to the modernisation and redesign of the future-state platform in Azure Databricks. The ideal candidate combines solid DWH development experience with SAS, SQL, and ETL frameworks

regimes, incorporating risk assessment and advanced data processing. You'll play a key role in designing and implementing ingestion and risking capabilities within the SAS Platform, including IDP, as part of a high-impact transformation program. Key Responsibilities Design, develop, and deploy data integration and transformation solutions using Pentaho … Denodo , Talend , and SAS . Architect scalable data pipelines and services to support BI and analytics platforms. Collaborate with cross-functional teams to define technical specifications and deliver robust solutions. Champion Agile/Scrum methodologies and drive timely sprint delivery. Implement DevOps practices for CI/CD, automated testing

regimes, incorporating risk assessment and advanced data processing. You'll play a key role in designing and implementing ingestion and risking capabilities within the SAS Platform, including IDP, as part of a high-impact transformation program. Key Responsibilities Design, develop, and deploy data integration and transformation solutions using Pentaho … Denodo , Talend , and SAS . Architect scalable data pipelines and services to support BI and analytics platforms. Collaborate with cross-functional teams to define technical specifications and deliver robust solutions. Champion Agile/Scrum methodologies and drive timely sprint delivery. Implement DevOps practices for CI/CD, automated testing

Factory, SSIS, or SSRS Advanced Excel skills, including pivot tables, complex formulas, and macros Familiarity with statistical analysis tools such as Python, R, or SAS is advantageous Experience with Power Platform tools, including PowerApps, Power Automate, and DAX/M languages in Power BI Previous involvement in reporting

data governance and metadata tools (Atlan, OpenMetadata, Collibra). Public health/healthcare dataset or similar experience, including PHI/PII handling. Familiarity with SAS and R workflows to support epidemiologists and analysts. Experience with additional SQL platforms (Postgres, Snowflake, Redshift, BigQuery). Familiarity with data quality frameworks (Great

Excel spreadsheets and MS Access databases; data visualization tools, including Snowflake and Tableau; and Agile methodologies, C++, erwin, MySQL Server, Python, R, RBDMS, SAS, Scrum methodologies, and SQL. Telecommuting is available up to 2 days per week. Job Location: New York, NY Rate of Pay: $109,491.00 - $124,750.00

statistical analyses and data analytic operations beyond reporting Demonstrated knowledge of statistics and experience using statistical packages for analyzing quantitative datasets (R, SPSS, SAS, STATA, etc.) Ability to represent the division and Miami University in professional settings Knowledge, Skills, and Abilities: Demonstrated ability to learn new software and continually

Data Analytics- (MI/BI/CI); InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance; IT- (full SDLC- BA’s PM’s , Architects, Developers etc.); Brimstone Consulting acts as an employment agency (permanent

activities using complex database statistical methods. The ability to visualize data utilizing business intelligence tools like Tableau is required. Working knowledge of Python, R, SAS are highly preferred. The ability to conduct simple statistical data analysis is highly preferred. Working knowledge of database cloud technologies (Azure Synapse) is highly

writing quantitative/technical concepts and conclusions to non-technical audiences, senior leadership, auditors, and/or regulators. Strong programming skills in R, Python, SAS, Java, C, SQL, and/or other comparable programming languages for the iterative methodological tenants of model and algorithm development including setting model specifications

writing quantitative/technical concepts and conclusions to non-technical audiences, senior leadership, auditors, and/or regulators. Strong programming skills in R, Python, SAS, Java, C, SQL, and/or other comparable programming languages for the iterative methodological tenants of model and algorithm development including setting model specifications

Required Skills & QualificationsBachelors/Masters in Data Science, Statistics, or Computer Science.5+ years of data analysis experience (preferably healthcare or MedicaidStrong in SQL, SAS, and Python for data manipulation and automation.3+ years with Power BI/Tableau for visualization.Strong understanding of Medicaid/claims-based data.Excellent communication and presentation

drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: Familiarity

drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: Familiarity

drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: Familiarity

drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: Familiarity

drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: Familiarity

drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: Familiarity

drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: Familiarity

Position requires Masters/equivalent in Business Analytics & Information Systems, CIS, or related field; and 1 year of experience including SQL, Python, SAS, R, AWS Redshift, AWS S3, Jupyter Notebook, MicroStrategy, NumPy, Pandas, Airflow, S3, Tableau, and ServiceNow. $127,234. Medical, Dental, Vision. Position requires travel/relocation

experience is required: Strong background in Credit Risk Model development Degree in Quantitative subject (Finance, Mathematics, Economics, Engineering, etc) Programming languages, ideally R. Python, SAS are desirable Banking background Strong Excel and Access skills Good communication and stakeholder management skills. Salary: Up to £130,000 + bonus + package

Data Analytics- (MI/BI/CI);InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.);Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.);Compliance/Corporate Governance ;IT- (full SDLC- BA’s PM’s , Architects, Developers etc.); Brimstone Consulting acts as an employment agency (permanent

Data Analytics- (MI/BI/CI); InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance; IT- (full SDLC- BA’s PM’s , Architects, Developers etc.); Brimstone Consulting acts as an employment agency (permanent

Delta, etc. At least three years corporate/public sector experience in quantitative and qualitative research, specifically using software such as R, Python, SAS At least three years experience in market research (customer behaviour and attitudes, brand management) including research design, analysis, and reporting Experience in stakeholder management