1 to 25 of 91 SAS Jobs

and manage relationships across business and technology stakeholders. Financial Services industry background or experience as a bonus. Preparation and delivery of MI/BI reporting in Power BI or SAS a bonus. Snowflake experience a bonus. What we look for Someone who is passionate about reaching their full potential and excelling in their career Someone with energy, enthusiasm and More ❯

tasks. Excellent organizational and communication skills Professional use of the English language; both written and oral. Experience in Object Oriented Programming (C#, C++, VBS, etc....), scripting language (PERL, etc.), SAS, R, SQL Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.) Experience in clinical database management system development. Experience in a clinical, scientific or healthcare discipline. Experience in utilizing various … effective data management practices Strong leadership and interpersonal skills Must be able to communicate effectively in the English language. Preferred Oncology and/or Orphan Drug therapeutic experience Base SAS®, SAS/STAT and SAS/ACCESS software SAS Macro programming language Advanced experience in Database Management, object-oriented programming Veeva set up experience Medidata Rave More ❯

Desirable experience would be to have: Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us Were one of the largest building More ❯

for tax agents across multiple 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 … engineers and foster technical excellence. Ensure compliance with data quality, governance, and security standards. Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills & Experience Strong expertise in SAS 9.4 (DI) and SAS Viya 3.x (SAS Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend More ❯

for tax agents across multiple 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 … engineers and foster technical excellence. Ensure compliance with data quality, governance, and security standards. Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills & Experience Strong expertise in SAS 9.4 (DI) and SAS Viya 3.x (SAS Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend More ❯

Fabric implementations, including Azure Data 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 and analytics for CRM and ERP More ❯

and experience collaborating across architecture and business teams. Experience mentoring or leading small technical teams. Nice to Have Experience transitioning systems from vendor-managed to in-house. Familiarity with SAS or other data analytics products. Background in cash management or automated payment systems. If this role sounds like your next career move click "APPLY" OR Email More ❯

and Python, delivering data- driven recommendations and ensuring data quality in projects. Commercial Analytics : Engaged in projects to understand impact on revenue, automated reporting, and improved efficiency using SQL, SAS, and Alteryx. Data Quality and Governance : Ensured compliance with regulatory guidelines and addressed data gaps. Regulatory Compliance and Reporting : Supported creation of dashboards & reporting, liaising with stakeholders and managing More ❯

Informatica, Python, Snowpark, PySpark, DataFrames, storage formats (e.g. Parquet, Avro, Apache Iceberg, Delta Lake), Orchestration and DevOps Business Intelligence and analytics solutions such as Tableau, Power BI, MicroStrategy, Thoughtspot, SAS, Streamlit, and techniques such as time series analysis, Advanced SQL, and statistical analysis (e.g. Linear regression, variance analysis, modelling, and forecasting) AI/ML fundamental understanding of key concepts More ❯

and experience collaborating across architecture and business teams. Experience mentoring or leading small technical teams. Nice to Have Experience transitioning systems from vendor-managed to in-house. Familiarity with SAS or other data analytics products. Background in cash management or automated payment systems. If this role sounds like your next career move click "APPLY" OR Email More ❯

with stakeholders, explain complex concepts, and influence technical decisions. Certifications: AWS Certified Solutions Architect and/or TOGAF 9 or equivalent. Bonus Skills: Experience with Databricks, Snowflake, Palantir, Quantexa, SAS, AI/ML, GenAI, or work in regulated industries like the Public Sector. More ❯

are directly applied to the apprentice’s role, and maximises the time used as part of off-the-job training. Microsoft Office Specialist: Excel Associate. Data and Visualisation using SAS® Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional) An apprenticeship has to be relevant to More ❯

MS Azure, Salesforce, Apex, Visualforce, Javascript, HTML, CSS, C/C++, Java, Oracle SQL, MS SQL Server, Visio, UML, Weblogic, Oracle, Hibernate, Maven, Tomcat, Solaris, AIX, Goldengate, Server Now, SAS, VBA, SQL, Python, R, Tableau, Power BI, Sharepoint and SPSS. Master of Business Administration, Finance, Computer Science, IS, IT or Engineering. Will accept a Bachelors degree plus five years More ❯

areas (e.g., CardioRenal, Chronic Kidney Disease, Heart Failure) Prior experience working within a large pharmaceutical organization strongly preferred Proficiency in statistical and data analysis tools such as R, Python, SAS, SQL, Excel, and PowerPoint Expertise in multivariate analysis, promotional responsiveness modeling, and ROI measurement Experience in digital analytics for non-personal marketing channels (email, banner, mobile, alerts) Ability to More ❯

processes, including scenario planning, ROI analysis, and promotional effectiveness. ● Experience with CPG/FMCG commercial and trade investment processes. ● Working knowledge of tools such as SAP TPM, Anaplan, o9, SAS, or custom-built TPO platforms. ● Proven ability to bridge business and technical domains, influencing at senior stakeholder levels. ● Strong analytical mindset with experience in data modeling, performance metrics, and More ❯

data manipulation Understanding of statistics concepts (e.g., hypothesis testing, regression analysis) Thorough knowledge of MS Office Suite (i.e., Excel, Access, Word and PowerPoint) is necessary and familiarity SQL and SAS/Tableau or other coding language Minimum 3 years working experience in data analysis or statistical modeling. Basic understanding of data warehousing principles/architecture Experience in a Marketing More ❯

and experience: Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle or Cloudera). Knowledge of cloud platforms (ideally AWS). Good experience with programming/scripting languages (e.g. Python, Bash More ❯

skills and experience:Strong SQL and hands-on experience with data modelling.Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS).Experience with databases/data platforms (ideally Oracle or Cloudera).Knowledge of cloud platforms (ideally AWS).Good experience with programming/scripting languages (e.g. Python, Bash).Strong grasp of More ❯

and experience: Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle or Cloudera). Knowledge of cloud platforms (ideally AWS). Good experience with programming/scripting languages (e.g. Python, Bash More ❯

and experience: Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle or Cloudera). Knowledge of cloud platforms (ideally AWS). Good experience with programming/scripting languages (e.g. Python, Bash More ❯

problems, and evaluate methods and results; Utilize statistical techniques including clustering, regression, and time series analysis to improve forecasting systems; Perform data analysis, model building, and output testing using SAS, R, and Python; Utilize optimization techniques including linear programming, dynamic programming, and gradient descent to optimize revenue in the corporate network forecast; Present analysis and results to assist management More ❯

requirements and mitigate operational risks. Experience in system integration. Working knowledge of Agile Scrum methodology and ability to manage Agile teams. Knowledge of data mining and analytics application an (SAS, SQL, Python) and visualisation tool such as (Power BI, Tableau, Qlik) Understanding of requirements under Basel II, III, IV as well as well as best practices for Data Governance More ❯

MS Azure, Salesforce, Apex, Visualforce, Javascript, HTML, CSS, C/C++, Java, Oracle SQL, MS SQL Server, Visio, UML, Weblogic, Oracle, Hibernate, Maven, Tomcat, Solaris, AIX, Goldengate, Server Now, SAS, VBA, SQL, Python, R, Tableau, Power BI, Sharepoint or SPSS. Master of Business Administration, Finance, Computer Science, IS, IT or Engineering. Will accept a Bachelors degree plus five years More ❯

foster a culture of continuous learning and development. BASIC QUALIFICATIONS - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 4+ years of data scientist experience - Experience with statistical models e.g. multinomial logistic regression PREFERRED QUALIFICATIONS - 2+ years of data visualization using AWS QuickSight, Tableau, R More ❯

statistical techniques and approaches used to 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 with Marketing Attribution and More ❯