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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, Power BI, and a passion for data is essential.
- Other info: Collaborate with diverse teams to tackle exciting data challenges.
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
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 sharpen your skills, as practical knowledge will set you apart during interviews.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who work with data governance and quality. Attend industry meetups or webinars to gain insights and potentially get referrals for our open positions.
✨Tip Number 3
Prepare to discuss real-world examples of how you've applied data quality principles in past roles. Being able to articulate your experience with data profiling and lineage will demonstrate your expertise and passion for the role.
✨Tip Number 4
Stay updated on the latest trends in data governance and management frameworks. Showing that you're knowledgeable about current best practices can impress interviewers and highlight your commitment to 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 Projects: If you have worked on projects involving metadata management, data harmonisation, or data lineage, be sure to include these in your application. Describe your role and the impact your work had on the overall data governance.
Highlight Collaboration Skills: Since the role involves working closely with data stewards, business users, and tech teams, emphasise your teamwork and communication skills. Provide examples of how you've collaborated with others to solve data challenges 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 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 and will show your alignment with their goals.
✨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 various teams, be prepared to discuss examples of how you've successfully collaborated with data stewards, business users, and tech teams in the past. This will highlight your teamwork skills and ability to navigate cross-functional challenges.
