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For Companies At a Glance
- Tasks: Dive into data management, quality scoring, and governance to drive impactful insights.
- Company: Join a forward-thinking company at the forefront of data transformation.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values data quality and innovation.
- Qualifications: Experience with SAS, SQL, and Power BI is essential; passion for data is a must.
- Other info: Collaborate with diverse teams to tackle exciting data challenges.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
🔍 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 SAS and other analytical tools mentioned in the job description. Consider taking online courses or tutorials to brush up on your skills, as demonstrating proficiency in these tools can set you apart during the interview process.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who have experience with data governance and management frameworks. Engaging in conversations on platforms like LinkedIn can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss real-world examples of how you've applied data quality principles in previous roles. Being able to articulate your experience with data profiling and scoring will demonstrate your capability to drive business impact.
✨Tip Number 4
Stay updated on the latest trends and best practices in data governance. Showing that you are proactive about learning and adapting to new methodologies can impress interviewers and highlight your passion for continuous improvement.
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. Use specific examples of how you've applied these skills in previous roles to extract insights from complex data sets.
Craft a Strong Cover Letter: In your cover letter, express your passion for data quality and continuous improvement. Mention specific projects where you have successfully implemented data management frameworks or improved data governance practices.
Showcase Relevant Experience: When detailing your work history, focus on experiences that demonstrate your ability to profile and score data quality, investigate data lineage, and collaborate with various teams to solve data challenges.
Highlight Soft Skills: Don't forget to mention your soft skills, such as communication and teamwork. These are crucial for working closely with data stewards, business users, and tech teams, so provide examples of how you've effectively collaborated in the past.
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 practical knowledge and ability to apply analytical tools effectively.
✨Understand Data Governance
Familiarise yourself with data governance principles and best practices. Be ready to explain how you have contributed to data quality and governance in previous roles, as this is a key aspect of the position.
✨Prepare for Technical Questions
Expect technical questions related to SQL, Power BI, and data profiling. Brush up on your technical skills and be ready to solve problems or analyse data on the spot, as this will showcase your analytical thinking and problem-solving abilities.
✨Demonstrate Collaboration Skills
Since the role involves working closely with data stewards and tech teams, be prepared to discuss examples of how you've successfully collaborated with others to solve data challenges. Highlight your communication skills and ability to work in a team environment.
