1 to 25 of 814 SAS Jobs in England

Proficiency with regression, classification, and cluster analysis approaches. Experience with data visualization/reporting software (e.g., Tableau). Advanced SQL, data mining skills, and analytical tools (e.g., R, Python, SAS). About the team Amazon IES Shopping experience team owns the charter for defining the shopping experience across key country and category needs for Amazon's emerging markets. We More ❯

Excel Power Query, Power Pivot, DAX Calculations. • Must be proficient in developing reports and management presentations. • Minimum of 2 years' experience with Python/Pandas (Preferred), R, SQL (Preferred), SAS, Jupyter Notebooks or other analytical coding language. • Minimum of 2 years' experience with data visualization tools like Power BI (Preferred), Tableau or Data Studio. • Able to programmatically connect 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 ❯

The Rank Group is growing rapidly within both our Venues and Digital businesses. If you’re not sure who we are, you may be more familiar with us through our iconic brands; Mecca Bingo and Grosvenor Casino. We employ circa More ❯

Join to apply for the SAS Consultant role at ISx4 . Job Details Location: Remote/Northern Ireland Hours: Permanent Full-time Salary: Commensurate with experience Date Posted: March 2025 Hiring: ASAP About ISx4 ISx4 is a dynamic team harnessing AI and cloud computing to create impactful solutions across various sectors. We are certified partners with leading cloud providers … and focus on analytics and AI services, supporting strategic growth with new hires at all levels. The Role We seek an experienced SAS admin consultant with project experience in data management. Responsibilities include full lifecycle project activities, requirements analysis, ETL development, analysis, reporting, and performance monitoring. The candidate should have 7+ years in data and analytics, including leadership and … stakeholder communication. Job Responsibilities Advanced knowledge of SAS technology, architecture, deployment, and maintenance in a banking environment (Mandatory) Hands-on experience with SAS 9.4 deployments (Mandatory) Experience with CI/CD pipelines, Azure DevOps, Ansible Strong problem-solving, independence, and proactive attitude Residency in the UK or EU; remote role Salary commensurate with experience Qualifications & Experience 7+ years More ❯

Delivery experience using other industry leading data visualisation and BI tools such as Microsoft Power BI (Desktop, Mobile, Report Server). Project experience using any of the following technologies: SAS, Teradata, Python, Snowflake, Qlik Replicate, Qlik Compose, Hadoop, Spark, Scala, Oracle, Pega, Salesforce, Cloud (Azure, AWS, SAS Viya), RPA tools such as UiPath, Nintex, or Blue Prism. Knowledge More ❯

Bachelor's degree. Knowledge of data pipelining and extraction using SQL. Knowledge of SQL and Excel at a moderate or advanced level. Experience with data mining tools like SQL, SAS, SPSS, or similar. PREFERRED QUALIFICATIONS Experience in data analytics or automation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability 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 ❯

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 ❯

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 ❯

NoSQL etc. - 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 ❯

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 ❯

socials in each region to encourage engagement and network building. Job Description We are looking for looking for experienced and dynamic Consultants to join our existing team. As a SAS Data Engineering Consultant, you will engage with our clients daily, working to understand their challenges and to deliver solutions. You will be based from one of our regional offices … disciplines: Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Delivery experience using the following core technology: SAS (SAS EG, SAS DI, SAS Viya). An ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Python More ❯

visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - 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 ❯

metrics allowing better understanding of the performance of the business - 4+ years of ecommerce, transportation, finance or related analytical field experience - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best More ❯

team, hold monthly socials in each region, and regular lunches to catch-up with teams on site. Job Description We are seeking a Data Engineer with robust proficiency in SAS and a comprehensive background in data engineering. The ideal candidate should possess strong skills in SQL, Python, ETL processes, and data warehousing. They will be responsible for designing, developing … data governance practices are also essential. Additionally, the ability to collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders is crucial. Primary Skills Required: SAS Additional Skills: SQL Python ETL processes Data warehousing Strong analytical and problem-solving skills Excellent communication and teamwork abilities Responsibilities: Design, develop, and maintain data pipelines and ETL processes. … Implement and manage data warehousing solutions. Utilize SAS for data analysis and reporting. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Ensure data quality and integrity across all platforms. Qualifications Minimum of 3-4 years of experience in data visualization. Proven track record of working with Power BI, Azure Databricks, SQL, Python, and Git. Strong More ❯

key performance indicators Determine campaign data and tracking requirements – manage measurement systems for data capture and reporting Work with the Analytics Manager to perform ongoing analysis using Excel, SPSS, SAS, etc. to ensure the timely adjustment/optimization of campaigns, along with other client-specific analyses (such as campaign analysis, customer segmentation, and profiling and competitive market research) Build … e.g. Adobe SiteCatalyst, Test & Target) Knowledge of syndicated media research & systems (Nielsen, comScore, MRI, Scarborough) Technical computer skills including Excel and PowerPoint Knowledge of statistical software packages (e.g. SPSS, SAS) Database analysis skills (eg. MS Access/SQL) Data visualization skills a plus (e.g. Tableau) Additional information Our Publicis Groupe motto “Viva La Différence” means we’re better together More ❯

fraud environment exposure. Proven skills in analytics, data visualization, and communicating insights to non-technical audiences. Independent, proactive, with strong workload management and stakeholder skills. Technical proficiency in SQL, SAS, VBA, R, Python, Power BI, or Excel. Flexible working We support hybrid working, with options to work from our UK offices or remotely, including up to 120 days abroad More ❯

and Teams Knowledge of SQL e.g. TOAD or GOLDEN, VBA independently or within Excel , C# and .Net Experience with one or several analytical languages like Python, R, MatLab or SAS Usage of either QlikSense, QlikView, Spotfire, Power BI or Alteryx Navigation in Energy Trading and Risk Management systems (ETRMs) OpenLink ENDUR, SunGard Nucleus, FIS Aligne, CubeLogic and using or More ❯

processes. Experience Requirements: Data analysis with Redshift, Oracle, NoSQL, etc. Data visualization skills with Tableau, Quicksight, or similar. Data modeling, warehousing, and ETL pipeline development. Statistical analysis with R, SAS, Matlab. SQL and scripting with Python for data processing. Preferred Qualifications: Experience with AWS services like EC2, DynamoDB, S3, Redshift. Experience in data mining, ETL, and handling large datasets 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 ❯

model to inspire and mentor junior resources, and attract new talent to the team; Providing analytics and modelling services through the use of software such as SQL, Python, Tableau, SAS, R and VBA to deliver meaningful insights to our clients and help them to understand the risks and key drivers for their business; Working with our clients to provide … quality output, including experience of code, output and documentation review; Advanced technical experience with Excel and at least one other programming language such as Python, SQL, VBA, Tableau, R, SAS; Sound knowledge of one or more financial asset classes (e.g. derivatives, loans, mortgages) Experience in building cashflow models Ability to build and develop strong client relationships; Excellent oral and More ❯

NoSQL etc. 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 SQL Experience in the More ❯

NoSQL etc. 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 SQL Experience in the More ❯

Experience: Analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. Data visualization using Tableau, Quicksight, or similar tools Data modeling, warehousing, and ETL pipeline development Statistical analysis using R, SAS, Matlab SQL and scripting (Python) for data processing and modeling Preferred qualifications: Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, and More ❯