Preferably Northern Ireland, with remote working considered across the UK Salary : Up to 65,000
Start Date : ASAP
Security Clearance : Must be SC Cleared
Their expertise spans analytics and AI services across sectors including finance, government, life sciences, private sector, and sport. As certified partners with leading cloud and analytics platforms, they maintain a vendor-neutral approach, focusing on delivering high-quality analytics services. With a global presence and ambitious growth plans, they are expanding our team to support our strategic vision.
We are seeking an experienced and passionate Data Consultant with significant SAS project experience to join their team. The ideal candidate will have over 7 years of hands-on experience in data and analytics, with a proven track record of leading teams and presenting business outcomes to key stakeholders.
Collaborate with client and partner teams to deliver timely, professional, and high-quality project outputs.
Leverage expertise in SAS technologies, solutions, and methodologies.
Develop and implement data management systems to optimize data quality, focusing on best-practice ETL processes.
Acquire data from primary and secondary sources and maintain databases/data systems.
Interpret data and analyze results using statistical techniques, delivering ongoing reports.
Participate in product and solution training to maintain in-depth knowledge of SAS offerings.
Over 7 years of proven hands-on SAS experience.
Knowledge of data management and visualization tools.
Expertise in data models, database design, data mining, and segmentation techniques.
Advanced SAS programming and statistical analysis experience.
Experience designing and developing data ingestion processes.
Bachelors degree in Computer Science or a related field.
Project Management
Agile Methodologies
Data Stewardship
Data Visualization and Analysis
SAS Skills : Base SAS, SAS Macros, SAS EG, SAS DI, SAS SQL, SAS VA, SAS BI
Other Tools : Jira, Python, R, SQL
Familiarity with additional tools such as Python, R, IBM Watson, and Power BI.
Understanding of DevOps tools (Git, Azure DevOps, Jenkins, Docker, Kubernetes).
Experience working with Cloud Service Providers (Azure, AWS, GCP).