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- Tasks: You'll analyse data, ensure quality, and guide 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 while developing your skills in a dynamic setting.
- Qualifications: 3+ years in a data role with strong analytical and documentation skills required.
- Other info: Ideal for those passionate about data governance and looking to grow their career.
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 your practical experience and problem-solving skills.
✨Tip Number 3
Be ready to talk about your experience with data profiling, cleansing, and validation. Prepare some case studies or scenarios where you successfully identified and resolved data issues.
✨Tip Number 4
Research the company’s current data practices and any recent projects they’ve undertaken. This knowledge will allow you to tailor your responses and show how you can contribute to their data governance efforts.
We think you need these skills to ace Data Governance and Quality Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data roles, particularly focusing on your proficiency in data governance, quality analysis, and any relevant techniques you've mastered. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Strong Cover Letter: In your cover letter, emphasise your capability to present and guide expectations aligned to Data Best Practice. Share specific examples of how you've documented data processes and managed data activities in previous roles.
Showcase Your Analytical Skills: Provide concrete examples of your data analysis techniques in your application. Mention any experience you have with data profiling, cleansing, and validation, as well as how you've identified the impacts of bad data in past projects.
Highlight Your Communication Skills: Since the role involves working with internal and external stakeholders, demonstrate your ability to communicate complex data concepts clearly. Include instances where you've created operational design or policy standards that were well-received by your audience.
How to prepare for a job interview at Vallum Associates
✨Showcase Your Data Experience
Make sure to highlight your minimum of 3 years of experience in data roles. Be prepared to discuss specific projects where you applied data governance and quality principles, as this will demonstrate your capability to align with Data Best Practice.
✨Demonstrate Your Analytical Skills
Prepare examples that showcase your excellent data analysis techniques. Discuss how you've used these skills to identify issues with data quality and the steps you took to resolve them, as this will illustrate your problem-solving abilities.
✨Familiarise Yourself with Data Processes
Be ready to talk about your experience in documenting data processes, data lineage, and management activities. This is crucial for the role, so having concrete examples will help you stand out.
✨Understand Business Data Models
Brush up on your knowledge of business data models, especially how they relate to both internal and external stakeholders. Being able to explain how you’ve worked with these models in the past will show your understanding of the broader business context.
