1 to 25 of 428 SAS Jobs in the UK excluding London

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 Experience with AWS solutions such as More ❯

various stakeholders and inform strategic decision-making. Write research reports that distill complex findings for internal and external audiences. Analyze data and generate strategic insights using tools like Python, SAS, SQL, and MS Suite. Stay informed on educational data trends and participate in relevant national conferences. Assist with special projects and duties as assigned. REQUIRED SKILLS AND ABILITIES Deep More ❯

various stakeholders and inform strategic decision-making. Write research reports that distill complex findings for internal and external audiences. Analyze data and generate strategic insights using tools like Python, SAS, SQL, and MS Suite. Stay informed on educational data trends and participate in relevant national conferences. Assist with special projects and duties as assigned. REQUIRED SKILLS AND ABILITIES Deep 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 analytical techniques and by combining your analysis with understanding from customer research and … previously know about customers. Thus, enabling better business decisions whilst positively impacting our customers and our commerciality in tandem. Be technically robust and comfortable with tools such as Teradata, SAS Enterprise Guide, Cloud platforms (ideally Data Bricks) and Power BI. Have excellent knowledge of Excel and PowerPoint. Possess excellent communication and influencing skills, with the ability to present findings 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 ❯

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 ❯

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 ❯

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 ❯

field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 5+ years of experience across search, consumer product, digital media or entertainment industries Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis Hands on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving More ❯

work efficiently both in a team environment and alone and unsupervised Skills that will help: • Advance knowledge of Tableau • Intermediate knowledge of Alteryx • Data Mining Experience using SQL/SAS querying • Understanding of Reporting Data Governance • High aptitude for self-motivation and self-determined project work • Process designer experience is a plus Benefits of working at Bank of America More ❯

support flexible working – click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Data Engineer (SAS) Salary: £47,790 - £55,000 LOCATION: Halifax HOURS: Full time WORKING PATTERN: Hybrid, 40% (or two days) in our Halifax office. About this opportunity... Exciting opportunity for a Data … Engineer to join the Consumer Risk Data Labs to focus on assisting in the design, development, and maintenance of the Le Mans analytical SAS application, gaining practical experience whilst working under the guidance of senior data engineers. They will help to provide a critical service to enable the effective management and operations of the Le Mans data infrastructure. Le … our 26 million customers. We’re growing with purpose. Join us on our journey and you will too... What you’ll do... Supports the management and operations of the SAS Data Warehouse (Le Mans) which supports 1100+ colleagues across Risk. Collaborates across technology and business teams to deliver the required level of service and data capabilities. Delivers support and More ❯

or equivalent; or relevant work experience and professional qualifications At least 3 years of experience in Data Management, Biostatistics, and Centralized Monitoring At least 2 years of experience in SAS and at least one of the following: R, Python, Jupyter, SQL, Shiny, Spark and associated packages and libraries Full professional proficiency in English Strong analytical and logical thinking Communication More ❯

Experience developing and maintaining strong working relationships. Demonstrate a ‘Can Do’ attitude with a desire to thrive in a dynamic and fast paced environment. Some knowledge of SQL/SAS is preferred but not essential. Sound experience and understanding of established procedures or systems. Evidence of problem solving, investigative and analytical skills. Evidence of learning technical skills. Insurance or More ❯

eye on trading across different channels and insurance products. You will have previous experience in general insurance pricing and be familiar with the tools of the trade, such as SAS, Python, RStudio, SQL, Emblem and Radar. With your naturally inquisitive mindset, you will be well versed in the UK personal lines insurance space, and understand how the personal lines … will use your advanced analytical skills to: Conducting retail price optimisation analysis/modelling developing customer propensity and Life Time Value (LTV) models to produce the different models and SAS or SQL for data analysis Create innovative data solutions finding new ways to mine insight & present data Build and maintain sophisticated models, prioritising a range of data science techniques … modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a concise manner More ❯

This role involves supporting daily operations and modernizing our data warehousing function with industry-leading tools in a cloud environment. We welcome candidates from all backgrounds with experience in SAS, ETL, and Python. Key Responsibilities Lead and coordinate the data warehousing team. Manage the work backlog and prioritize tasks. Mentor team members and foster an inclusive environment. Deliver ETL … Degree in Computer Science, Engineering, Mathematics, or related field. Experience managing a technical team (desirable). Excellent communication skills. Strong understanding of data warehousing and ETL principles. Experience with SAS software, Oracle databases, and Python. Intermediate skills in Windows and Linux OS. Attention to detail and multi-tasking abilities. Strong analytical and problem-solving skills. Knowledge of finance sector More ❯

monitor associated Data & BI risks and report any business impact with recommended solutions to the Data Engineering Lead(s). · Application Development: Contribute to development of existing and new SAS based applications by analysing and identifying areas for modification and improvement to meet customer requirements. · Product/Service Development: Solve known problems and/or deliver defined outcomes by … performing designated development/engineering activities using existing systems. · Technical Developments Recommendation: Working with the Data & BI team to develop and maintain a comprehensive data warehouse using SAS/SQL language to ensure all data clearly defined and consistently maintained throughout the organisation. · Data Governance: Develop and maintain data dictionaries covering factors and measures within data warehouses. Responsible for … Can Do’ attitude with a desire to thrive in a dynamic and fast paced environment. And if you have any of these, even better · Some knowledge of SQL/SAS is preferred but not essential. · Sound experience and understanding of established procedures or systems. · Evidence of problem solving, investigative and analytical skills. · Evidence of learning technical skills. · Insurance or More ❯

statistical models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (e.g., R, SAS, or Python). Establish policies and processes for the Quants team to act as an auditor’s expert. Lead and oversee quantitative testing performed for audit engagement teams in … an equivalent function in a corporate, especially in a banking or lending enterprise. Strong record of model development work and significant coding expertise in relevant computing languages (e.g., R, SAS or Python). Strong appreciation of applicable principles of best practice. Expert level IT literacy with MS Office products, especially MS Excel. Be accountable, professional and take responsibility. Be 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 engineer with experience of GCP and good Cloud understanding Passion for software and data engineering, adopting the mindset of a curious engineer Experience of dbt, SQL, Python, Java, SAS or other open-source technologies used for analytics Ability to understand business requirements and create business ready solutions Show well-developed interpersonal, communication and influencing skills, particularly the ability More ❯