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For Companies At a Glance
- Tasks: Dive into data management and governance, using SAS to extract valuable insights.
- Company: Join a forward-thinking company focused on data transformation and quality.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team making a real impact through data-driven decisions.
- Qualifications: Experience with SAS, SQL, and data governance is essential.
- Other info: Ideal for those passionate about data quality and continuous improvement.
The predicted salary is between 36000 - 60000 £ per year.
The Role: Sitting at the heart of our data transformation, this role supports the development, implementation, and operation of Data Management Frameworks. You’ll be working with metadata management, data harmonisation, quality score carding, data lineage, and profiling—all critical for building robust data governance.
What You’ll Be Doing:
- Applying SAS and other analytical tools to extract insights from complex data sets
- Profiling and scoring data quality to drive real business impact
- Investigating data lineage and ensuring end-to-end transparency
- Supporting enterprise-wide data governance best practices
- Working closely with data stewards, business users, and tech teams to solve data challenges
Who You Are:
- Passionate about data quality and continuously improving processes
- Experienced in SAS, SQL, Power BI, and other analytics tools
- Skilled in data governance, lineage, and metadata management
- Familiar with regulatory frameworks like GDPR, BCBS, CCPA
Data Analyst - SAS employer: InterQuest Group
Contact Detail:
InterQuest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - SAS
✨Tip Number 1
Familiarise yourself with the latest features and updates in SAS, SQL, and Power BI. Being well-versed in these tools will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in data governance and analytics. Attend industry meetups or webinars to connect with others who work in similar roles. This can lead to valuable insights and potential referrals for the position.
✨Tip Number 3
Showcase your passion for data quality by discussing relevant projects or experiences during interviews. Be prepared to share specific examples of how you've improved data processes or resolved data challenges in previous roles.
✨Tip Number 4
Research StudySmarter's approach to data governance and management. Understanding our values and methodologies will help you align your answers with what we’re looking for, making you a more attractive candidate.
We think you need these skills to ace Data Analyst - SAS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SAS, SQL, Power BI, and any other relevant analytical tools. Emphasise your skills in data governance, lineage, and metadata management to align with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data quality and continuous improvement. Provide specific examples of how you've applied analytical tools to extract insights from complex data sets and how this has driven business impact.
Showcase Relevant Projects: If you have worked on projects involving data profiling, scoring, or governance, be sure to include these in your application. Detail your role and the outcomes achieved to demonstrate your hands-on experience.
Highlight Regulatory Knowledge: Mention your familiarity with regulatory frameworks like GDPR, BCBS, and CCPA in your application. This shows that you understand the importance of compliance in data management and governance.
How to prepare for a job interview at InterQuest Group
✨Showcase Your SAS Skills
Make sure to highlight your experience with SAS during the interview. Be prepared to discuss specific projects where you've used SAS to extract insights from complex data sets, as this will demonstrate your technical proficiency.
✨Understand Data Governance
Familiarise yourself with data governance principles and practices. Be ready to explain how you have applied these in previous roles, especially in relation to data quality and lineage, as this is crucial for the position.
✨Prepare for Technical Questions
Expect technical questions related to SQL, Power BI, and other analytics tools mentioned in the job description. Brush up on your knowledge and be ready to solve problems or provide examples of how you've used these tools effectively.
✨Demonstrate Your Passion for Data Quality
Convey your enthusiasm for data quality and continuous improvement. Share examples of how you've driven improvements in data processes or quality in past roles, as this aligns with the company's focus on robust data governance.
