Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
We are looking for an experienced SAS Architect to lead the design, development, and implementation of advanced analytics solutions using SAS technologies. The ideal candidate will have a deep understanding of SAS architecture, data integration, and analytics frameworks to deliver scalable and efficient solutions that meet business requirements.
Key Responsibilities:
- Design and implement end-to-end SAS architecture solutions aligned with business goals.
- Develop and maintain SAS programs and workflows for data management, analysis, and reporting.
- Collaborate with data engineers, analysts, and business stakeholders to gather requirements and translate them into technical solutions.
- Optimize SAS environments for performance, scalability, and reliability.
- Provide technical leadership and mentorship to SAS developers and analysts.
- Ensure compliance with data governance, security policies, and best practices.
- Stay updated with the latest SAS tools, technologies, and industry trends.
Qualifications:
- Proven experience as a SAS Architect or Senior SAS Developer.
- Strong expertise in SAS Base, SAS Macro, SAS SQL, and SAS Enterprise Guide.
- Experience with SAS Viya and other SAS advanced analytics tools is a plus.
- Knowledge of data warehousing, ETL processes, and big data technologies.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication skills and ability to collaborate across teams.
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field.
We offer:
- A work culture focused on innovation and building lasting value for our clients and employees
- Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
- A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
- A diverse, inclusive, meritocratic culture
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