51 to 75 of 929 SAS Jobs in the UK

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 ❯

solving abilities. Self-starter with ability to prioritize heavy workload and escalate tasks that might be falling behind. Comfortable using any quantitative programming language (Excel, VBA, R, Python, SQL, SAS, MATLAB). Familiarity with any business insights software (including Shiny, Power BI, Tableau, Markdown, etc.). Unafraid to learn and use new programming languages in two weeks or less. 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 in data mining More ❯

business trade-offs and zoom in on modelling accuracy. • Strong communication and storytelling skills – able to influence decisions and simplify complexity. • Proficiency in Excel, SQL, Power BI/Tableau (SAS or similar a bonus). • Comfort working across Finance, Risk, Commercial and Data teams. Join our team and we’ll be with you every step of the way, helping More ❯

business trade-offs and zoom in on modelling accuracy. • Strong communication and storytelling skills – able to influence decisions and simplify complexity. • Proficiency in Excel, SQL, Power BI/Tableau (SAS or similar a bonus). • Comfort working across Finance, Risk, Commercial and Data teams. Why join us: Join our team and we’ll be with you every step of More ❯

data visualization. Expert knowledge of front-end management information (MI/BI) systems. Proficiency in Microsoft Power BI and the Power ecosystem. Working knowledge of coding languages such as SAS, SQL, and DAX. Strong skills in Excel and Office 365. Excellent stakeholder management and communication abilities. Basic management skills to support team collaboration. A solid understanding of internal systems More ❯

data sources to drive business value. Proactively develop ideas, concepts, and relationships to support department data initiatives that inform the strategic direction of the business. Support ongoing migration to SAS Viya and utilize new technology to enhance ETL processes. Review data processing methods regularly to improve efficiency and processing times. Promote data governance activities, policies, and procedures. Drive continuous … risks and report accordingly. Ensure daily data processing completes on time with no failures. Previous experience in a DW or BI role is required. Essential experience with coding in SAS and SAS Macros, SAS DI Studio, and Enterprise Guide. Experience with data modelling, ETL, data warehousing, and data quality management concepts. Advanced Excel skills. Strong problem-solving … technical audiences. Ability to operate effectively in a fast-changing environment and handle issues proactively. Confidence in judgment and decision-making, viewing challenges as opportunities for development. Experience with SAS Viya, SAS Visual Analytics, SQL Server, Apache Airflow, and MS DevOps for workflows and CI/CD pipelines. #J-18808-Ljbffr More ❯

Core skills we’re looking for to succeed in the role: Strong data analysis ability Mathmatical modelling experience Minimum 2:1 degree in a numerical subject Experience programming in SAS and/or Python Experience in the Insurance industry What’s involved Support the appropriate use of statistical techniques & models to improve the accuracy and stability of burn cost … in a numerical undergraduate discipline Minimum of 2 years experience of a relevant commercial and pricing role within the personal lines motor insurance industry Solid experience of SAS/Python/R and ideally EMBLEM Ideally some modelling experience (EMBLEM, Python, GBM builds in Radar) Experience of Radar Base and Radar Live preferable Underlying Skills of: Excellent data and More ❯

For: Experience: Business Intelligence and Data analytics focusing on insights analysis. Industry Experience: Prior experience in Banking/Financial Services. Technical Skills: Proficiency with BI tools such as SQL, SAS, Tableau, Power BI. Education: Bachelor’s degree in Business Administration, IT, Data Science, or related fields. What You’ll Get: Competitive Tax-Free Salary Relocation Support: Flights and accommodation. More ❯

team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software PREFERRED QUALIFICATIONS - 4+ years of working with very large data warehousing environment experience - 10+ years of data warehouse technical architectures, data 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 ❯

Business, Economics, Statistics, or related fields. Confident in using PowerApps suite, Power BI, M365. SQL and database management for querying and handling structured data. Programming in Python, R, or SAS for analytics, automation, and statistical modelling. Business intelligence tools for reporting and dashboard creation. Why Join Us: Repsol values diversity and believes in equal opportunities. You'll grow with More ❯

Business, Economics, Statistics, or related fields. Confident in using PowerApps suite, Power BI, M365. SQL and database management for querying and handling structured data. Programming in Python, R, or SAS for analytics, automation, and statistical modelling. Business intelligence tools for reporting and dashboard creation. Why Join Us: Repsol values diversity and believes in equal opportunities. You'll grow with More ❯

Business, Economics, Statistics, or related fields. Confident in using PowerApps suite, Power BI, M365. SQL and database management for querying and handling structured data. Programming in Python, R, or SAS for analytics, automation, and statistical modelling. Business intelligence tools for reporting and dashboard creation. Why Join Us: Repsol values diversity and believes in equal opportunities. You'll grow with More ❯

in a quantitative field (Statistics, Data Science, etc.) with a bachelor’s or master’s degree. Experience in search, consumer products, digital media, or entertainment industries. Proficiency in SQL, SAS, R, Python, or similar languages. Experience with visualization tools like Tableau or Looker. Action-oriented and capable of working in a fast-paced environment. Experience with A/B More ❯

Business, Economics, Statistics, or related fields. Confident in using PowerApps suite, Power BI, M365. SQL and database management for querying and handling structured data. Programming in Python, R, or SAS for analytics, automation, and statistical modelling. Business intelligence tools for reporting and dashboard creation. Why Join Us: Repsol values diversity and believes in equal opportunities. You'll grow with More ❯

on them. Use change management systems and protocols to provide routine supportive services. We need you to have: Data analysis, audience selection and campaign effectiveness experience. Relevant software experience (SAS, Excel, PowerPoint). And if you have any of these, even better: Experience with CRM Platforms particularly Optimove, their CRM tool. Experience in Banking. This role is urgent in More ❯

teams. Desired Skills Python expertise, especially with data libraries like Pandas, NumPy, and Scikit-learn. Familiarity with ETL tools and data pipeline orchestration. Exposure to data science tools like SAS or Posit. Experience in performance-critical environments, particularly with large-scale data platforms. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job More ❯

Ability to clearly present findings from analyses and support telling stories to a non-technical audience – essential. Numerical and analytical approach. Commercial awareness and understanding of profitability. Experience of SAS Enterprise Guide, Power BI, VBA, SQL and Python. Graduate in a numerate subject such as mathematics, mathematics with actuarial studies, mathematics with finance or economics – preferred, but not essential. More ❯

team, including employee development and performance management experience Experience with SQL Experience with ETL Experience with data visualization using Tableau, Quicksight, or similar tools Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software PREFERRED QUALIFICATIONS 4+ years of working with very large data warehousing environment experience 10+ years of data warehouse technical architectures, data More ❯

data scientists and analysts to provide infrastructure support for data exploration, modelling, and visualisation. Integrating cloud-based analytics tools and services for data processing, transformation, and analysis. Familiarity with SAS, Watsonx, Anaconda or POSIT. A Few Words About ISx4... At ISx4 we are passionate about delivering an analytics advantage for our customers, be it through understanding your business better More ❯