Halifax, England, United Kingdom Hybrid / WFH Options
Lloyds Banking Group
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 ❯
SAS Developer Rate - £450 per day via umbrella Duration - 6/12 months initial Location - South London twice a month on site We're working with a leading financial services client undergoing a significant data transformation programme. They're looking for an experienced SAS Developer to get hands-on with moving datasets, analysing reports, and supporting the re … flows and policies. What you'll be doing: Supporting the migration and transformation of datasets across platforms Investigating and optimising data flows, processes, and legacy reporting structures Interrogating existing SAS code, reviewing policies and suggesting improvements Working closely with BA, architecture and infrastructure teams to align on data movement strategy Tech you'll need: SAS v9.4 SASEnterpriseGuide (EG) Base SAS Strong SQL skills Experience working within regulated/financial services environments preferred This is a great opportunity to be part of a large-scale transformation and make an immediate impact on business-critical data operations. Please apply in the link available if suitable. Reasonable Adjustments: Respect and equality are core values More ❯
Salford, Manchester, United Kingdom Hybrid / WFH Options
First Central Services
at the British Insurance Awards 2024, 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 looking for a Claims … within the Performance Function and 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 to 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 commentary and clear actions or recommendations Collaborating with operational teams to make recommendations for More ❯
Haywards Heath, Sussex, United Kingdom Hybrid / WFH Options
First Central Services
at the British Insurance Awards 2024, 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 looking for a Claims … within the Performance Function and 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 to 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 commentary and clear actions or recommendations Collaborating with operational teams to make recommendations for 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 … 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 ❯
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 … 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 … resolves issues on the production scheduled batch on Le Mans. This requires experience of SAS DI Studio. Supports oversight, process execution and customer engagement for compliance and governance (ITEC, UAM, Cyber, SOX, Deloitte, Audit, etc). This requires experience of SAS Management Console. Work closely with customers to understand requirements and specifications, collaborate with team to identify and More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
Graphicsunlimited
we deliver. What skills, knowledge and experience will you need? Comfortable working with a range of programming languages like Python, SQL, and Proc SQL-with a particular focus on SAS, SASEnterpriseGuide, and Informatica. Skilled at digging into complex data and code to troubleshoot issues and ensure everything runs smoothly and accurately. Experienced in using … require iteration. Confident leading the development of ETL pipelines, even when dealing with large or complex datasets, and good at delegating tasks to keep things moving efficiently. Able to guide the team through in-depth data and code reviews to maintain high quality and quickly resolve any processing hiccups. Set clear standards for how we work with data and More ❯