1 to 25 of 151 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 ❯

Reporting tools such as MicroStrategy, Microsoft Power BI, data modeling tools such as Erwin, Oracle, SQL server, NoSQL, JDBC, UNIX shell scripting, PERL and JAVA, XML/JSON files, SAS , Python, AWS cloud-native technologies, S3, Athena, Redshift Experience in snowflake is an added bonus. Familiarity with the following technologies: Hadoop, Kafka, Airflow, Hive, Presto, Athena, S3, Aurora, EMR More ❯

Banking and Financial Services Nice-to-Have Skills: Exposure to scrum master or product owner role will be desirable Knowledge of data processing/ETL using Ab Initio/SAS/ADF/Azure Databricks Exposure to one or more Cloud platforms - Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform Exposure to Data Governance projects including Metadata Management More ❯

Science, Statistics, etc.) and 5+ years of experience in data analytics, or equivalent combination. Advanced degree preferred. Proficiency in programming languages for data analysis (e.g., Python, R, SQL, Stata, SAS) 2+ years experience in a senior analytical role with proven leadership and mentorship capabilities Experience with statistical methods and data science applications is a plus Outstanding problem-solving skills More ❯

Science, Statistics, etc.) and 5+ years of experience in data analytics, or equivalent combination. Advanced degree preferred. Proficiency in programming languages for data analysis (e.g., Python, R, SQL, Stata, SAS) 2+ years experience in a senior analytical role with proven leadership and mentorship capabilities Experience with statistical methods and data science applications is a plus Outstanding problem-solving skills More ❯

from structured and unstructured data sets in a variety of formats. -Proficiency in developing ETL processes, and performing test and validation steps. -Proficiency to manipulate data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/ More ❯

from structured and unstructured data sets in a variety of formats. -Proficiency in developing ETL processes, and performing test and validation steps. -Proficiency to manipulate data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/ More ❯

from structured and unstructured data sets in a variety of formats. -Proficiency in developing ETL processes, and performing test and validation steps. -Proficiency to manipulate data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/ More ❯

from structured and unstructured data sets in a variety of formats. -Proficiency in developing ETL processes, and performing test and validation steps. -Proficiency to manipulate data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/ More ❯

from structured and unstructured data sets in a variety of formats. -Proficiency in developing ETL processes, and performing test and validation steps. -Proficiency to manipulate data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/ More ❯

from structured and unstructured data sets in a variety of formats. -Proficiency in developing ETL processes, and performing test and validation steps. -Proficiency to manipulate data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/ More ❯

from structured and unstructured data sets in a variety of formats. -Proficiency in developing ETL processes, and performing test and validation steps. -Proficiency to manipulate data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/ More ❯

from structured and unstructured data sets in a variety of formats. -Proficiency in developing ETL processes, and performing test and validation steps. -Proficiency to manipulate data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/ 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 ❯

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 ❯

of experience working in Business Intelligence, Analytics and Machine Learning Extensive hands-on experience analyzing data with SQL Experience in data mining of large data sets using tools like SAS/R/Python to identify patterns Experience in using tools like Alteryx or Python libraries like Pandas for preprocessing & cleaning data Experience using BI tools like Tableau or 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 ❯

open source, custom developed and off-the-shelf tools, including Python, Bash, SQL, DBT, GIS, Docker, Terraform, Apache Airflow, Jenkins, Postgres, PostGIS, AWS, GitHub, MuleSoft as an iPaaS and SAS API provides like ArcGIS Online and CARTO. Some prominent services the team is responsible for include DataBridge, OIT's enterprise data warehouse, AIS, the City's custom address information 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 ❯

business ideas Developed and implemented data and analytics solutions Proven proficiency in quantitative analysis, visualization, and modeling using statistical packages for analyzing large datasets (Advanced in Excel, Tableau, SPSS, SAS, QlikView or PowerBI, etc.) Demonstrated the ability to import, clean, transform, and model data with the purpose of translating complex information into meaningful clear conclusions for decision making purposes More ❯

Validate system implementations during System Integration Testing (SIT) and User Acceptance Testing (UAT) phases of the Software Development Lifecycle (SDL). Utilize AML monitoring tools such as Actimize, Oracle, SAS, etc., for effective monitoring and analysis. Analyze transactional data including Trades, Cash, Checks, ACH, Cards, Wires, Lease, Loans, etc. Write SQL queries for data analysis and debugging purposes. Skills More ❯

with experience building data visualizations and dashboards. Proficient in MS Office tools, including Excel, Tableau, Python, and SQL. Desired Qualifications Familiarity with tools such as Cognos, VBA, R, SPSS, SAS, LimeSurvey, Personal Operations Portal system, PD Library, and Lawson. Experience in workforce analytics and workforce planning, particularly in human capital management and strategy. Compensation & Benefits Salary Range More ❯