176 to 200 of 788 SAS Jobs

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 and Emblem software is preferred Proficient at communicating results in a More ❯

PowerBi, Tableau, etc.), databases (SQL etc.) and optionally programming (Python, XML, JavaScript, or ETL frameworks). Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.). Adept at queries, report writing, and presenting findings. Working proficiency in English & Dutch. Volve is proud to be an Equal Opportunity Employer . We do not discriminate More ❯

Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics. Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc. Communicate analyses via compelling presentations. Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis. More ❯

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 ❯

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 ❯

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 ❯

customer problems. BASIC QUALIFICATIONS - 2+ years of data scientist experience - 3+ 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 ❯

direction. BASIC QUALIFICATIONS 2+ years of data scientist experience and 3+ 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 experience. Experience applying theoretical models in an applied environment. Bachelor's degree in More ❯

statistical models. BASIC QUALIFICATIONS - 2+ years of data scientist experience - 3+ 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 ❯

of experience with Python and SQL for data analysis and manipulation Demonstrated experience in data cleaning, validation, and addressing data quality issues Experience developing econometric or predictive models using SAS or Python is a plus Prior experience in the CRE or CMBS industry is preferred This is a hybrid position, requiring time spent working in the London office Compensation More ❯

products and applications at an advanced level - Knowledge of credit lifecycle including PD/LGD/EAD - Working knowledge of SQL and/or other scripting languages such as SAS/Python/R PREFERRED QUALIFICATIONS - Project Management Professional (PMP) or equivalent certification - Experience leveraging technology and implementing lean principles/Six Sigma methodologies to drive process improvements or More ❯

direction. BASIC QUALIFICATIONS 2+ years of data scientist experience and 3+ 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 ❯

and distributions (direct, intermediary, aggregators) Experience of using statistics to explore and validate data, extract and manipulate large datasets for analysis Experienced in the use of programming language (e.g. SAS) and/or statistical packages e.g. actuarial pricing software Experience in SOME of the following predictive modelling techniques e.g.Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision More ❯

products and applications at an advanced level - Knowledge of credit lifecycle including PD/LGD/EAD - Working knowledge of SQL and/or other scripting languages such as SAS/Python/R PREFERRED QUALIFICATIONS - Project Management Professional (PMP) or equivalent certification - Experience leveraging technology and implementing lean principles/Six Sigma methodologies to drive process improvements or More ❯

to prepare and deliver high-impact presentations and reports to senior leadership across diverse cultures. Data-Driven Mindset: Comfortable with Excel, Microsoft Office, and business intelligence tools (e.g., Tableau, SAS, Cognos). Skilled at interpreting data to inform strategy. Educational Background: A degree in Business, Hospitality, Finance, or a related discipline is a strong asset. Travel: Willing to travel More ❯

familiar with Meta’s Business Manager suite of Ad solutions Experience across Meta’s full suite of advertising solutions Knowledge of statistics and experience with statistical packages as R, SAS, SPSS Knowledge and experience with data querying (e.g., SQL, advanced excel/GSheet) Experience with Meta’s full suite of advertising solutions About Meta Meta builds technologies that help More ❯

Proven track record of driving execution , ensuring projects are delivered at scale with impact Strong communication, collaboration, and documentation skills Experience with supporting a mixed operational model which includes SAS/managed services vs. on-prem model for B2B mid-sized to large global client organizations Support infrastructure using Linux/Kubernetes based implementations, with basic understanding of devops More ❯

professional. BASIC QUALIFICATIONS 2+ years of data scientist experience and 3+ 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 ❯

Siebel) gained from implementing methods in such systems, validating them or using them to monitor methods and report on outputs Advanced expertise of at least one programming language, e.g. SAS, R, Python, SQL and expert knowledge of Excel and Visual Basic Experience in independently validating/reviewing or building financial risk models/methods Superior written and oral communication More ❯

Siebel) gained from implementing methods in such systems, validating them or using them to monitor methods and report on outputs Advanced expertise of at least one programming language, e.g. SAS, R, Python, SQL and expert knowledge of Excel and Visual Basic Experience in independently validating/reviewing or building financial risk models/methods Superior written and oral communication More ❯

of the skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression More ❯

Job Summary Due to our continued growth, we are in need of qualified and focused driven individuals for SAS Programmer role to be office-based in London UK. This is a vital role in our Clinical Database Programming & Biostatistics department whose success hinges upon your attention to detail and programming background. At Medpace, our SAS Programmers go through … you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you. Responsibilities Write SAS programs for use in creating analysis datasets, tables, listings, and figures Using SAS, program, validate and maintain mapped database Program edit checks for external data Coordinate communication and … issues with Data Management regarding database specifications and data transfers Qualifications Bachelor's Degree in Statistics, Maths, Health Informatics, Data Analytics, Computer Science, or Life Sciences field SAS knowledge preferred; programming experience required with R or Python Experience with CDISC SDTM conversion would be an advantage Excellent analytical, written and oral communication skills Entry level positions are available for More ❯

We are looking for a senior analyst who has experience with SAS and has a track record of adding value through analysis and insight. You’ll be responsible for providing our key stakeholders with analysis on customer, market and product portfolio performance, as well as supporting strategic objectives through the development of data solutions. Retail Products look after the … drive the insights that will enable us to meet and exceed our business goals. You will be working with our internal customers to understand their analytical requirements and using SAS to develop solutions, which drive the strategy of the business. This includes developing an understanding of the portfolio dynamics and the customer base. The data you gather, the insights … invaluable, not only to our immediate stakeholders but to colleagues right across the business. About you As a minimum you’ll need to have: Hands on experience using Base SAS or Enterprise Guide and be proficient in the use of Macros and SQL. Experience interpreting and correlating a wide range of business performance measures and presenting information to a More ❯

a broad range of initiatives such as supporting and improving regular management information reporting, ongoing improvement projects and data governance. The role will suit a strong communicator, with strong SAS skills, that can collaborate cross-functionally and apply their technical skills to support the data analysis and data driven decision making capabilities of the Risk function Main Responsibilities Run … and let us do the worrying... A strong communicator who can collaborate cross-functionally Have relevant experience working with data analysis within financial services Have an intermediate knowledge of SAS and SQL; and be eager to develop further Have a good understanding of risk/financial terminology and be interested in developing this knowledge further Be comfortable working with More ❯