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For Companies At a Glance
- Tasks: Analyse and ensure data quality while guiding best practices in data management.
- Company: Join a forward-thinking company dedicated to data excellence and innovation.
- Benefits: Enjoy flexible working options and a supportive team environment.
- Why this job: Make a real impact on data integrity and help shape data governance strategies.
- Qualifications: 3+ years in a data role with strong analytical and documentation skills required.
- Other info: Ideal for those passionate about data and eager to drive change.
The predicted salary is between 36000 - 60000 £ per year.
Minimum of 3 years experience working in a data role.
Capability to present and guide expectations aligned to Data Best Practice (DBP) Guidance.
Proficient in documenting data processes, data lineage and data management activities.
Excellent data analysis techniques.
Capable of creating and providing operational design and policy standards.
Good understanding of business data models for internal and external stakeholders.
Expertise in data profiling, data cleansing and data validation techniques.
Can identify impacts of data (or bad data).
Exposure to a range of visualization and reporting techniques to drive data integrity standards.
Data Governance and Quality Analyst employer: Vallum Associates
Contact Detail:
Vallum Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Governance and Quality Analyst
✨Tip Number 1
Familiarise yourself with Data Best Practice (DBP) Guidance. Understanding these standards will not only help you in interviews but also demonstrate your commitment to maintaining high data quality.
✨Tip Number 2
Brush up on your data analysis techniques and be prepared to discuss specific examples of how you've used them in past roles. This will show us that you can effectively handle the responsibilities of the position.
✨Tip Number 3
Gain a solid understanding of business data models, especially those relevant to our industry. Being able to articulate how these models impact stakeholders will set you apart from other candidates.
✨Tip Number 4
Prepare to showcase your experience with data profiling, cleansing, and validation techniques. We value candidates who can identify and mitigate the impacts of bad data, so come ready with examples.
We think you need these skills to ace Data Governance and Quality Analyst
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your minimum of 3 years of experience in a data role. Use specific examples from your past work that demonstrate your capability in data governance and quality analysis.
Showcase Data Best Practices: Clearly outline your understanding of Data Best Practice (DBP) Guidance. Provide examples of how you have presented and guided expectations in previous roles, showcasing your ability to align with best practices.
Detail Your Analytical Skills: Discuss your proficiency in data analysis techniques. Include specific methodologies you've used for data profiling, cleansing, and validation, as well as any tools or software you are familiar with.
Demonstrate Communication Skills: Since the role involves working with internal and external stakeholders, highlight your ability to document data processes and communicate complex data concepts clearly. Mention any experience you have in creating operational design and policy standards.
How to prepare for a job interview at Vallum Associates
✨Showcase Your Data Experience
Make sure to highlight your minimum of 3 years' experience in data roles. Prepare specific examples of projects where you successfully applied data governance and quality principles, as this will demonstrate your capability to meet the job requirements.
✨Demonstrate Your Understanding of Data Best Practices
Be ready to discuss how you align expectations with Data Best Practice (DBP) Guidance. You might want to prepare a brief overview of DBP and how you've implemented these practices in previous roles to ensure data integrity.
✨Prepare for Technical Questions
Expect questions on data profiling, cleansing, and validation techniques. Brush up on your knowledge of these areas and be prepared to explain how you've used them to identify and mitigate issues with data quality in past projects.
✨Familiarise Yourself with Visualisation Tools
Since the role involves exposure to various visualisation and reporting techniques, it’s a good idea to review the tools you’ve used. Be prepared to discuss how these tools have helped you drive data integrity standards and support business decisions.
