At a Glance
- Tasks: Join a dynamic team to deliver impactful AI and analytics solutions.
- Company: ISx4, a leader in AI technology and cloud computing.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Exciting growth opportunities in a fast-paced, innovative company.
- Why this job: Make a real difference by leveraging cutting-edge SAS technologies.
- Qualifications: 3+ years of SAS experience and strong analytical skills required.
The predicted salary is between 50000 - 70000 £ per year.
ISx4 is a dynamic and innovative team, harnessing the power of artificial intelligence and cloud computing to drive real-world impact. We work at the forefront of AI technology, leveraging leading cloud platforms to build scalable, intelligent solutions. Our industry experience helps derive competitive advantage for our clients, taking them on the journey from Hindsight, through Insight to Foresight. We create, deliver and manage Analytics and AI solutions across all sectors including finance, government, life sciences, private sector and sport. Our services are increasingly in demand as Analytics and AI services become a core competency in every area of the business.
We are recruiting experienced and passionate Data Consultants (at different levels) with relevant SAS project experience. The ideal candidates will have over 3-10 years of experience in data and analytics, including leading teams and presenting business outcomes to key stakeholders.
Job Responsibilities
- Collaborate with client and partner teams to provide timely, professional, and high-quality outputs on assigned projects.
- Leverage expertise in specific SAS technologies, solutions, and methodologies.
- Develop and implement data management systems to optimise data quality, focusing on best-practice ETL processes.
- Acquire data from primary/secondary sources and maintain databases/data systems.
- Utilise and communicate best-practice methodologies internally and externally.
- Create technical documentation such as requirements, design, administration, and user guides.
- Interpret data and analyse results using statistical techniques, delivering ongoing reports.
- Identify, analyse, and interpret trends or patterns in complex datasets.
- Participate in product and solution training to maintain in-depth knowledge of SAS offerings.
- Work closely with stakeholders to prioritise business and information needs.
- Conduct knowledge transfer sessions and establish trusted advisor relationships with customers.
Qualifications/Experience
- Over 3 + years of proven hands-on SAS experience.
- Knowledge of data management and visualisation tools.
- Expertise in data models, database design, data mining, and segmentation techniques.
- Advanced SAS programming and statistical analysis experience.
- Strong analytical skills with a high level of attention to detail.
- Experience with designing and developing data ingestion processes.
- Ability to work independently and as part of a team.
- Bachelor's degree in Computer Science or a related field.
- Familiarity with different delivery methodologies.
Personal Skills
- Personal Integrity
- Stakeholder Management
- Project Management
- Agile Methodologies
- Automation
- Data Stewardship
- Data Visualisation and Analysis
Core Technical Skills
- Base SAS, SAS Macros, SAS EG, SAS DI, SAS SQL, SAS VA, SAS BI
- Jira, Python, R, SQL
- Cloud Technology Awareness
Desirable Skills
- Familiarity with additional tools like 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).
We require candidates for this role to have SC clearance.
At ISx4 we are passionate about delivering an AI & Analytics advantage for our customers, be it through understanding your business better, your customers to a deeper level or providing a service to help make your existing operating model run more effectively. We will do this using best practice processes and in a spirit of openness and professional integrity which is part of our core values.
SAS Consultant in Warrington employer: ISx4
ISx4 is an exceptional employer that fosters a dynamic and innovative work culture, where employees are empowered to harness cutting-edge AI and cloud technologies to make a real-world impact. With a strong focus on professional growth, ISx4 offers extensive training opportunities and the chance to collaborate with industry leaders, ensuring that every team member can thrive in their career while contributing to meaningful projects across various sectors. Located in a vibrant environment, ISx4 not only values integrity and openness but also provides a supportive atmosphere that encourages creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land SAS Consultant in Warrington
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at ISx4. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got SAS experience, don’t just talk about it—demonstrate it. Create a portfolio of projects or case studies that highlight your expertise and how you've made an impact in previous roles.
✨Tip Number 3
Prepare for the interview like it’s the final exam! Research ISx4, understand their projects, and think about how your skills align with their needs. Be ready to discuss how you can contribute to their mission of delivering AI & Analytics advantages.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the ISx4 team. Don’t miss out on this opportunity!
We think you need these skills to ace SAS Consultant in Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the SAS Consultant role. Highlight your relevant experience with SAS technologies and any projects you've led. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and analytics, and how you can contribute to our innovative team at ISx4. Keep it engaging and personal!
Showcase Your Projects:If you've worked on interesting SAS projects, don’t hold back! Share specific examples of your work, the challenges you faced, and the outcomes. This helps us understand your hands-on experience and problem-solving skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our dynamic team at ISx4!
How to prepare for a job interview at ISx4
✨Know Your SAS Inside Out
Make sure you brush up on your SAS skills before the interview. Be ready to discuss specific projects where you've used SAS technologies, and how you've leveraged them to deliver business outcomes. This will show that you not only have the technical know-how but also understand its practical applications.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical prowess by discussing how you've interpreted complex datasets in previous roles. Bring examples of trends or patterns you've identified and how they influenced decision-making. This will highlight your ability to provide insight through data.
✨Understand ISx4's Vision
Familiarise yourself with ISx4’s mission and values. Knowing how they leverage AI and cloud computing to create impact will help you align your answers with their goals. It shows genuine interest and that you're a good fit for their innovative culture.
✨Prepare for Stakeholder Scenarios
Think about past experiences where you've managed stakeholders or led teams. Be ready to discuss how you prioritised needs and communicated effectively. This is crucial as the role involves collaboration with clients and partners, and demonstrating your interpersonal skills will set you apart.