1 to 25 of 27 Remote SAS Jobs in the North of England

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 quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW's Radar software is preferred. Proficient at More ❯

Strong background in data analysis, reporting and insight communication Fluency in Excel, R, SQL or equivalent software/platforms and familiarity with tools like SAS Experience as part of cross-skilled teams and working with senior stakeholders Excellent storytelling and visualisation skills – you can turn data into narratives that More ❯

Strong background in data analysis, reporting and insight communication Fluency in Excel, R, SQL or equivalent software/platforms and familiarity with tools like SAS Experience as part of cross-skilled teams and working with senior stakeholders Excellent storytelling and visualisation skills – you can turn data into narratives that More ❯

Strong background in data analysis, reporting and insight communication Fluency in Excel, R, SQL or equivalent software/platforms and familiarity with tools like SAS Experience as part of cross-skilled teams and working with senior stakeholders Excellent storytelling and visualisation skills – you can turn data into narratives that More ❯

Strong background in data analysis, reporting and insight communication Fluency in Excel, R, SQL or equivalent software/platforms and familiarity with tools like SAS Experience as part of cross-skilled teams and working with senior stakeholders Excellent storytelling and visualisation skills – you can turn data into narratives that More ❯

trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW’s Radar software is preferred, but not More ❯

trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW's Radar software is preferred, but not More ❯

different packages for some of these model types would be an advantage. 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 More ❯

USS, SDSF, JCL IBM and CA product knowledge Excellent problem-solving and communication skills Nice to Have: REXX, CLIST, GDPS, Assembler, Omegamon, Top Secret, SAS Interview process includes an initial informal chat followed by a technical interview. Immediate start available. Desired Skills and Experience Z/OS experience More ❯

USS, SDSF, JCL IBM and CA product knowledge Excellent problem-solving and communication skills Nice to Have: REXX, CLIST, GDPS, Assembler, Omegamon, Top Secret, SAS Interview process includes an initial informal chat followed by a technical interview. Immediate start available. Desired Skills and Experience Z/OS experience More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

although these are not essential): Assembler, Automation, GDPS, Rexx and CLIST skills Proficient in Top Secret skills Performance monitoring using Omegamon, RMF, SMF and SAS More ❯

ETL principles. At least 3-5 years of proven experience in data warehousing and/or data-related development roles. Experience/knowledge of SAS software on a SAS 9.4 platform architecture. Experience/knowledge of Oracle database solutions and other database platforms (e.g., SQL Server). Experience … us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Python, ETL, SAS, SQL Server, Linux OS, Windows More ❯

and our Glassdoor score is impressive! Are you a dynamic professional with exceptional stakeholder management skills? Do you have hands-on experience with SAS, SQL, or similar programs? Are you well-versed in actuarial methodologies, particularly claims reserving? If so, we want you to join our team! We're … supporting their career development. Core skills we're looking for: Strong stakeholder management and the ability to present information to Exec level Experience using SAS, SQL, or similar programs Knowledge of actuarial methodologies, specifically claims reserving What's involved: Delivering regular reports to business leaders on claims indemnity performance … support monthly and quarterly executive reporting Analyzing performance trends, inconsistencies, and opportunities in line with executive priorities Building and maintaining data models (typically using SAS), utilising various data sources to develop insights into claims performance across the balanced scorecard Presenting and visualising analysis clearly to add value, with insightful More ❯

appropriately, scheduled jobs run without error and are delivered within SLA. This is a hands-on role which will primarily support the business with SAS, being used as the primary tool for analytics, data mining, data warehousing and production of MI/BI. Nice to have skills for the … Data Warehouse Manager role: At least 3 years of experience in a data-related role Experience managing a technical team SAS SQL Oracle Understanding of ETL Python Linux OS Good communication skills In return, the Data Warehouse Manager can expected a salary up to £60,000 DOE + benefits. More ❯

appropriately, scheduled jobs run without error and are delivered within SLA. This is a hands-on role which will primarily support the business with SAS, being used as the primary tool for analytics, data mining, data warehousing and production of MI/BI. Nice to have skills for the … Data Warehouse Manager role: At least 3 years of experience in a data-related role Experience managing a technical team SAS SQL Oracle Understanding of ETL Python Linux OS Good communication skills In return, the Data Warehouse Manager can expected a salary up to £60,000 DOE + benefits. More ❯

solutions for real-world data projects in a collaborative FSP-style setup. Create and validate analysis datasets and outputs using R (preferred), SQL (or SAS Proc SQL), and SAS . Tackle data challenges using structured, creative approaches, working with real-world datasets. Contribute to shaping best practices in … a statistical programmer, with exposure to RWE or observational data. Strong hands-on experience in R and/or SQL/Proc SQL/SAS Comfortable working independently with real-world datasets (EHR, claims data, registries, etc.) A BSc (or higher) in a relevant field (statistics, mathematics, computer science More ❯

solutions for real-world data projects in a collaborative FSP-style setup. Create and validate analysis datasets and outputs using R (preferred), SQL (or SAS Proc SQL), and SAS . Tackle data challenges using structured, creative approaches, working with real-world datasets. Contribute to shaping best practices in … a statistical programmer, with exposure to RWE or observational data. Strong hands-on experience in R and/or SQL/Proc SQL/SAS Comfortable working independently with real-world datasets (EHR, claims data, registries, etc.) A BSc (or higher) in a relevant field (statistics, mathematics, computer science More ❯

solutions for real-world data projects in a collaborative FSP-style setup. Create and validate analysis datasets and outputs using R (preferred), SQL (or SAS Proc SQL), and SAS . Tackle data challenges using structured, creative approaches, working with real-world datasets. Contribute to shaping best practices in … a statistical programmer, with exposure to RWE or observational data. Strong hands-on experience in R and/or SQL/Proc SQL/SAS Comfortable working independently with real-world datasets (EHR, claims data, registries, etc.) A BSc (or higher) in a relevant field (statistics, mathematics, computer science More ❯

solutions for real-world data projects in a collaborative FSP-style setup. Create and validate analysis datasets and outputs using R (preferred), SQL (or SAS Proc SQL), and SAS . Tackle data challenges using structured, creative approaches, working with real-world datasets. Contribute to shaping best practices in … a statistical programmer, with exposure to RWE or observational data. Strong hands-on experience in R and/or SQL/Proc SQL/SAS Comfortable working independently with real-world datasets (EHR, claims data, registries, etc.) A BSc (or higher) in a relevant field (statistics, mathematics, computer science More ❯