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For Companies At a Glance
- Tasks: Dive into data analysis, using SAS to extract insights and ensure data quality.
- Company: Join a forward-thinking company focused on data transformation and governance.
- 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 Power BI is essential; passion for data quality is a must.
- Other info: Ideal for those eager to learn and grow in a supportive environment.
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 specific tools mentioned in the job description, especially SAS and SQL. Consider taking online courses or tutorials to sharpen your skills, as practical knowledge can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data analytics field, particularly those who have experience in data governance and quality management. Engaging in relevant forums or LinkedIn groups can provide insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends and best practices in data governance and analytics. Reading industry blogs or attending webinars can help you discuss current topics during interviews, showcasing your passion for the field.
✨Tip Number 4
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 lineage and governance will demonstrate your capability and fit for the role.
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 Strong 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 in previous roles.
Showcase Relevant Projects: If you have worked on projects involving data profiling, scoring, or governance, be sure to include these in your application. Highlight your role and the impact your work had on data management processes.
Highlight Regulatory Knowledge: Mention your familiarity with regulatory frameworks like GDPR, BCBS, and CCPA. This shows that you understand the importance of compliance in data governance and can contribute to best practices.
How to prepare for a job interview at InterQuest Group
✨Showcase Your Technical Skills
Make sure to highlight your experience with SAS, SQL, and Power BI during the interview. Be prepared to discuss specific projects where you applied these tools to extract insights from complex data sets.
✨Understand Data Governance
Familiarise yourself with data governance principles and frameworks like GDPR and CCPA. Demonstrating your knowledge in these areas will show that you are serious about data quality and compliance.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data challenges. Think of examples from your past experiences where you successfully navigated data lineage or improved data quality, and be ready to explain your thought process.
✨Communicate Effectively with Stakeholders
Since the role involves working closely with data stewards and business users, practice articulating complex data concepts in a way that non-technical stakeholders can understand. This will demonstrate your ability to bridge the gap between technical and business teams.
