11 of 11 Remote SAS Jobs in Wales

the full credit risk life cycle YOUR SKILLS AND EXPERIENCE Credit risk experience, working on portfolio analysis or lending policy Good understanding of lending analytics, trends, and portfolio analytics SAS or Python is required Power BI is desirable THE BENEFITS Salary up to £50,000 Discretionary bonus Hybrid working policy (2 days a week in office) HOW TO APPLY More ❯

understanding of data warehousing and 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 with Python Ability to interact … you give express consent for 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 ❯

data warehouse team is managed 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. The role will be based in the Chester offices, but will be on a hybrid More ❯

and analytics operations. DATA WAREHOUSING MANAGER – ESSENTIAL SKILLS Strong understanding of data warehousing and ETL principles 3-5 years of experience in data warehousing or related roles Knowledge of SAS software on SAS 9.4 platform Experience with Oracle and SQL Server databases Proficiency in Python Intermediate skills in Windows and Linux OS, including batch/shell scripting Understanding More ❯

diverse therapeutic areas will be key to success in this role. What you will be doing: Program and validate SDTMs, ADaMs, and complex efficacy/lab datasets. Proficient in SAS (Base, Macros, Graphs); experience with R or Python is advantageous. Must have hands-on experience with Disclosure tables, especially Basic Results tables. Develop/debug complex macros and program More ❯

diverse therapeutic areas will be key to success in this role. What you will be doing: Program and validate SDTMs, ADaMs, and complex efficacy/lab datasets. Proficient in SAS (Base, Macros, Graphs); experience with R or Python is advantageous. Must have hands-on experience with Disclosure tables, especially Basic Results tables. Develop/debug complex macros and program More ❯

statistical programs for listings, safety, efficacy outputs, and ADaM/TLF specifications. Oversee multi-disciplinary teams, ensuring seamless execution of assigned projects. Design, develop, validate, and execute high-quality SAS programming outputs, including listings, tables, figures, and analysis datasets. Deliver high-quality ADaM programming and specification development for analysis and reporting. Mentor and train junior staff to cultivate the More ❯

statistical programs for listings, safety, efficacy outputs, and ADaM/TLF specifications. Oversee multi-disciplinary teams, ensuring seamless execution of assigned projects. Design, develop, validate, and execute high-quality SAS programming outputs, including listings, tables, figures, and analysis datasets. Deliver high-quality ADaM programming and specification development for analysis and reporting. Mentor and train junior staff to cultivate the More ❯

will need: A Bachelor’s degree in Statistics, Biostatistics or Computer Sciences + Masters or PH.D in Statistics. 8 years’ experience in clinical trial statistical programming. Excellent knowledge of SAS essential with R advantageous. Good working knowledge of data structures e.g. CDISC, SDTM, ADaM, Comprehension of clinical data standards (CDISC), TLFs, and submission guidelines. What in it for you More ❯

Author and review simple and 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 with simple statistical techniques (e.g. More ❯

Author and review simple and 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 with simple statistical techniques (e.g. More ❯