SAS Consultant
Fractal Analytics
Charing Cross, United Kingdom
2 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 130KJob location
Charing Cross, United Kingdom
Tech stack
Business Logic
ETL
Cloud Services
SAS (Software)
Macros
Spark
Databricks
Job description
- Analyze existing legacy SAS estate, including code, macros, ETL processes, reports, and applications to extract business logic and data requirements.
- Translate complex SAS workflows into modern, scalable solutions using Spark.
- Act as the primary SAS SME, guiding solution architecture with best practices and current technologies.
- Collaborate with teams to design and propose robust migration roadmaps, solution architectures, and phased implementation plans.
- Identify opportunities for modernization, automation, and optimization during migration.
- Lead discussions and build solution architecture, incorporating governance, data quality, and client regulatory requirements
Requirements
- 10+ years building SAS workflows (ETL, models, apps, statistical workflows)
- Experience in large-scale legacy SAS modernization projects, preferably to Databricks, Spark, or cloud data platforms.
- Financial/Insurance services experience preferred.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
About the company
£500 per day inside IR35
Hybrid - 1 / 2 days onsite (Guilford)
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.
SAS SME - For Migration of SAS Landscape into Modern Databricks based Landscape