51 to 75 of 813 SAS Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

data analysis, reporting, and forecasting to guide business decisions and solve problems. - Experience in Excel around Pivot, vlookup, basic formulas PREFERRED QUALIFICATIONS - Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts - Knowledge of visualization tools such as Tableau, Datazen, SSRS - Experience back office operations, escalation management and troubleshooting environments - 2+ years of digital advertising and More ❯

before release to business users Strong understanding of data governance and data quality principles Intermediate experience using SQL, with the ability to query databases to validate data Experience of SAS or DataBricks advantageous Experience of a commercial/insurance environment advantageous Skills and Qualifications Good communication skills, both verbal and written Good time management and organisation skills Strong analytical More ❯

before release to business users Strong understanding of data governance and data quality principles Intermediate experience using SQL, with the ability to query databases to validate data Experience of SAS or DataBricks advantageous Experience of a commercial/insurance environment advantageous Skills and Qualifications Good communication skills, both verbal and written Good time management and organisation skills Strong analytical 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 ❯

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 ❯

rounded professional. BASIC QUALIFICATIONS - 5+ years of data scientist experience - 4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an More ❯

analytical skills in a relevant role Strong problem solving skills with the confidence to recommend solutions to various stakeholders Recent, hands on experience with some of the following technologies: SAS, SQL, python, PowerBI, Power Apps, VBA Our customer first behaviours put customers and members at the heart of how we work together. They are the set of behaviours that 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 ❯