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- Tasks: Join us as a Data Architect, focusing on SAS data analysis and modelling.
- Company: We are a leading employment agency in the financial services sector.
- Benefits: Enjoy hybrid working options and competitive pay.
- Why this job: Make an impact in a regulated industry while honing your data skills.
- Qualifications: Experience in SAS data analysis and knowledge of ITIL best practices required.
- Other info: This is a contract role based in Glasgow with flexible working arrangements.
The predicted salary is between 48000 - 72000 £ per year.
Data Architect with strong hands-on SAS data analysis/data modelling skills and background in financial services or highly regulated industry. Must have the ability to guide process experts to the right implementation approaches which align with industry standards and commonly accepted ITIL best practices.
Contact Detail:
Scope AT Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect/SAS Data Analyst/Modeller - ITSM - Glasgow/Hybrid - CONTRACT
✨Tip Number 1
Familiarise yourself with ITIL best practices and how they apply to data architecture. Being able to discuss these concepts confidently during interviews will show your understanding of industry standards.
✨Tip Number 2
Highlight your experience in financial services or regulated industries. Tailor your discussions to showcase how your background aligns with the specific challenges and requirements of these sectors.
✨Tip Number 3
Prepare to demonstrate your hands-on SAS data analysis and modelling skills. Be ready to discuss specific projects where you've successfully implemented these skills, as practical examples can set you apart.
✨Tip Number 4
Network with professionals in the field, especially those who work in data architecture or SAS analytics. Engaging with industry peers can provide insights and potentially lead to referrals for the position.
We think you need these skills to ace Data Architect/SAS Data Analyst/Modeller - ITSM - Glasgow/Hybrid - CONTRACT
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Architect/SAS Data Analyst/Modeller. Familiarise yourself with the key skills required, such as SAS data analysis and data modelling, especially in the context of financial services or regulated industries.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your hands-on experience with SAS, data analysis, and any previous roles in financial services or regulated environments.
Craft a Strong Cover Letter: Write a compelling cover letter that outlines your motivation for applying and how your background fits the role. Mention your understanding of ITIL best practices and your ability to guide process experts effectively.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Architect role.
How to prepare for a job interview at Scope AT Limited
✨Showcase Your SAS Skills
Make sure to highlight your hands-on experience with SAS data analysis and modelling. Prepare specific examples of projects where you've successfully implemented these skills, especially in a financial services context.
✨Understand ITIL Best Practices
Familiarise yourself with ITIL best practices and how they apply to data architecture. Be ready to discuss how you can guide process experts in aligning their work with these standards during the interview.
✨Demonstrate Industry Knowledge
Since the role is within a highly regulated industry, be prepared to discuss relevant regulations and compliance issues. Showing that you understand the challenges and requirements of the sector will set you apart.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about past experiences where you had to make critical decisions or guide teams through complex implementations, and be ready to share those stories.
