1 to 25 of 81 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 ❯

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 ❯

a banking or financial services environment. Advanced SQL skills with proven ability to manage and analyse large-scale, complex datasets. Experience with database platforms such as SQL Server, Oracle, SAS, or Access. Familiarity with data visualisation tools (e.g. Power BI, Tableau) for insight generation and reporting. Knowledge of AI and Machine Learning models for risk scoring and predictive analytics. More ❯

teams to drive business decisions. Demonstrated success in developing machine learning models for fraud detection, credit scoring, and customer segmentation. Key Skills: Languages/Tools: Python, SQL, PySpark, R, SAS ML/AI: Scikit-learn, TensorFlow, NLP, Time-Series Forecasting Data Engineering: ETL, Data Wrangling, Data Pipelines Cloud Platforms: AWS, Azure, GCP (Data Services) Visualization: Power BI, Tableau, Matplotlib 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

driving communication verbally and in 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, assumption testing, data quality assessments More ❯

driving communication verbally and in 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, assumption testing, data quality assessments More ❯

optimization, and data analysis Demonstrated ability to develop and brief decision support tools or assessments to senior leaders Familiarity with statistical tools and languages (e.g., R, Python, MATLAB, or SAS Completion of FA49 (Army ORSA) or similar military ORSA training pipeline Experience supporting Combatant Commands, the Joint Staff, or DoD components Experience supporting Information Operations, Strategic Communications, or Influence More ❯

data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office This is a superb career opportunity in the Data Science space .This Company invest a tremendous amount of time and More ❯