26 to 50 of 811 SAS Jobs in England

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 More ❯

NoSQL etc. 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. Experience in the data/BI 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 PREFERRED QUALIFICATIONS Experience with AWS solutions More ❯

with the ability to effectively collaborate with cross-functional teams. Ability to articulate complex analytical concepts to non-technical stakeholders. Proficiency in one or more programming languages such as SAS, SQL, Python or R It’s a bonus if you have but not essential Knowledge of CIFAS rules and procedures in the context of first party fraud. Experience influencing More ❯

with the ability to effectively collaborate with cross-functional teams. Ability to articulate complex analytical concepts to non-technical stakeholders. Proficiency in one or more programming languages such as SAS, SQL, Python or R It’s a bonus if you have but not essential Knowledge of CIFAS rules and procedures in the context of first party fraud. Experience influencing 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 PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

analytical findings into clear, actionable recommendations that enable clients to make improved business decisions and enhance profitability. Technical Expertise: Employing data mining tools and programming languages (Python, SQL, and SAS) to prepare and analyse data for critical business decision-making. Solution Development: Collaborating to design and deliver robust analytical and commercial solutions for both internal and external clients, aligning … with a strong analytical aptitude and a proactive approach: A relevant numerical degree, achieving a 2:1 or higher. Proven experience in programming languages such as Python, SQL, and SAS, ideally applied within a credit risk environment. An innovative mindset, coupled with meticulous attention to detail. Excellent written and verbal communication skills, with the ability to confidently engage with More ❯

CRM experience (e.g., Salesforce, MS Dynamics, Oracle). Exposure to Marketing Automation platforms (e.g., Eloqua, Marketo, Pardot, Hubspot, ExactTarget). Advanced skills in data analytics packages (Excel, Alteryx, SPSS, SAS). Experience with BI tools (Tableau, Power BI). Experience developing models to support strategic decisions. Knowledge of Operational Research or Machine Learning. Additional benefits include quarterly bonuses More ❯

requirements. Experience Minimum 5+ years in healthcare or health plan environments. Extensive experience with SQL Server, Databricks, Azure Synapse (5+ years). Experience with data quality platforms like Informatica, SAS Dataflux, etc. (5+ years). Experience with ServiceNow, JIRA, or Azure DevOps. At least 3+ years in business analysis, project management, or training roles. Experience with Service Management and More ❯

Science, Statistics, Mathematics, Computer Science, or a related field is required. Experience with data models, database design development, data mining, and segmentation techniques. Proficiency with statistical analysis tools (e.g., SAS, SPSS, R) and programming languages (e.g., SQL, Python). Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with 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 PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

Science, Statistics, Mathematics, Computer Science, or a related field is required. Experience with data models, database design development, data mining, and segmentation techniques. Proficiency with statistical analysis tools (e.g., SAS, SPSS, R) and programming languages (e.g., SQL, Python) Strong analytical and problem-solving skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention 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 PREFERRED QUALIFICATIONS - Experience with AWS solutions 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 PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

and initiatives to prevent fraud. Demonstratable experience of developing automated fraud controls with disparate data sources. Analytical with intermediate-level proficiency with one or more programming languages such as SAS, SQL, Python or R Experience influencing stakeholders and driving change throughout an organisation. Knowledge and understanding of fraud risk and industry trends to identify risks that may impact our More ❯

Self-driven and motivated to take up initiatives to improve our processes Preferred Qualifications • Experience with data analytics tools and techniques • Experience with analytical/statistical programs such as SAS, SPSS, and R • Experience with visualization tools (Tableau, Spotfire or QlikView) is a plus • Creativity/Innovation, i.e., ability to create new ways to improve current processes and develop More ❯

a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, SAS, R, Python, or other programming languages for querying and analyzing data. Hands-on expertise with visualization tools such as Tableau or Looker. A proactive approach to problem-solving, with More ❯

a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, SAS, R, Python, or other programming languages for querying and analyzing data. Hands-on expertise with visualization tools such as Tableau or Looker. A proactive approach to problem-solving, with More ❯

analytical findings into clear, actionable recommendations that enable clients to make improved business decisions and enhance profitability. Technical Expertise: Employing data mining tools and programming languages (Python, SQL, and SAS) to prepare and analyse data for critical business decision-making. Solution Development: Collaborating to design and deliver robust analytical and commercial solutions for both internal and external clients, aligning … with a strong analytical aptitude and a proactive approach: A relevant numerical degree, achieving a 2:1 or higher. Proven experience in programming languages such as Python, SQL, and SAS, ideally applied within a credit risk environment. An innovative mindset, coupled with meticulous attention to detail. Excellent written and verbal communication skills, with the ability to confidently engage with More ❯

services are increasingly in demand as Analytics and AI services become a core competency in every area of the business. ISx4 are formal certified partners with Microsoft, AWS, GCP, SAS, IBM and Databricks and have customers & staff located globally. These strategic partnerships allow us to remain vendor-neutral and focused on our core competency area of analytics services delivery. … data scientists and analysts to provide infrastructure support for data exploration, modelling, and visualisation. Integrate cloud-based analytics tools and services for data processing, transformation, and analysis. Familiarity with SAS, Watsonx, Anaconda or POSIT. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Data Infrastructure and Analytics More ❯

customers that supports decision making and shapes our customer strategy. The core part of the role will involve analysing large volumes of customer data using tools such as Teradata, SAS Enterprise Guide, Python and Power BI. You'll make your insight deeper through the use of predictive analytical techniques and by combining your analysis with understanding from customer research … customer segmentation models using appropriate data manipulation, data science and analytical techniques. Technically robust and comfortable with all elements of the data science lifecycle using tools such as Teradata, SAS Enterprise Guide, Cloud Platforms (ideally Data Bricks), Python and Power BI. Have excellent knowledge of Excel and PowerPoint. Possess excellent communication and influencing skills, with the ability to present More ❯

customers that supports decision making and shapes our customer strategy. The core part of the role will involve analysing large volumes of customer data using tools such as Teradata, SAS Enterprise Guide, Python and Power BI. You’ll make your insight deeper through the use of predictive analytical techniques and by combining your analysis with understanding from customer research … customer segmentation models using appropriate data manipulation, data science and analytical techniques. Technically robust and comfortable with all elements of the data science lifecycle using tools such as Teradata, SAS Enterprise Guide, Cloud Platforms (ideally Data Bricks), Python and Power BI. Have excellent knowledge of Excel and PowerPoint. Possess excellent communication and influencing skills, with the ability to present More ❯

including employee development and performance management. Experience with SQL, ETL, and data visualization tools like Tableau or Quicksight. Experience with statistical or machine learning software such as R, Python, SAS, or Matlab. 4+ years working with large data warehousing environments. 10+ years in data warehouse architecture, data modeling, and related technical skills. Our inclusive culture empowers Amazonians to deliver More ❯

s degree in Data Science, Statistics, Mathematics, Computer Science, or related field. Experience with data models, database design, data mining, and segmentation techniques. Proficiency with statistical analysis tools (e.g., SAS, SPSS, R) and programming languages (e.g., SQL, Python). Strong analytical and problem-solving skills with attention to detail and accuracy. Effective communication skills and ability to work collaboratively. More ❯

outcomes. Requirements Required Experience & Knowledge: • Experienced in statistical modeling, multivariate data analysis and process analytics and experienced with applications (e.g. JMP...) • Proficiency using programming languages (e.g. R, Python, SQL, SAS, etc.) to manipulate data and draw insights from large data sets • Proficient in DoE applied to biological processes • A solid understanding of biological and bioprocessing concepts, data, and information More ❯