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For Companies At a Glance
- Tasks: Take charge of data quality, profiling datasets, and implementing scalable processes.
- Company: Join a forward-thinking organisation focused on improving data integrity.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference by enhancing data quality across the organisation.
- Qualifications: Experience in data quality roles and strong communication skills required.
- Other info: Collaborative environment with potential for impactful change initiatives.
The predicted salary is between 40000 - 50000 £ per year.
We're supporting a business that has recently completed a review of its data landscape and identified data quality as a key gap. Ownership of data quality is currently unclear, with inconsistent processes and limited tooling in place. You will take ownership of data quality across the organisation, working closely with business and technical teams to profile data, identify issues, and implement scalable quality processes.
Key Responsibilities
- Engage stakeholders across the business to gather data quality requirements
- Assess current data quality issues and define profiling and remediation activities
- Profile datasets to identify inconsistencies, errors, and gaps
- Work with teams to understand data usage and define quality rules and standards
- Implement data quality processes and governance frameworks
- Collaborate with Data Governance, Data Product, Platform, and Engineering teams
- Support the evaluation and potential implementation of data quality tooling
- Develop reporting and monitoring to track data quality improvements
Experience Required
- Strong experience in data quality, data governance, or data management roles
- Hands-on experience with data profiling and defining data quality rules
- Experience working with data quality tools (e.g. Precisely, Informatica or similar)
- Strong Excel skills; exposure to BI tools such as Power BI, Tableau, or Qlik
- Good understanding of data warehouses and data ecosystems
- Proven experience working in corporate environments with multiple stakeholders
- Strong communication skills and ability to work across technical and non-technical teams
- Demonstrated experience driving process improvements or change initiatives
Nice to Have
- Experience with Precisely (DQ+)
- Experience supporting tool selection or implementation processes
Data Quality Analyst in Coventry employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst in Coventry
✨Tip Number 1
Network like a pro! Reach out to your connections in the data quality space and let them know you're on the hunt for a role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data profiling projects, quality rules you've defined, or any tools you've implemented. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Be ready to explain complex data quality concepts in simple terms, as you'll need to engage with both technical and non-technical teams.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Quality Analyst in Coventry
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Quality Analyst. Highlight your experience with data quality, governance, and any tools you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data quality and how you can help us improve our processes. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Since this role involves working with data profiling and quality tools, make sure to list your technical skills clearly. If you've used tools like Precisely or Informatica, let us know! We love seeing hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your talents. Don’t miss out!
How to prepare for a job interview at Harnham
✨Know Your Data Quality Fundamentals
Before the interview, brush up on your understanding of data quality concepts. Be ready to discuss common issues like inconsistencies and errors, and how you would approach profiling datasets. This shows that you’re not just familiar with the tools but also understand the underlying principles.
✨Prepare Real-World Examples
Think of specific instances where you've successfully identified and resolved data quality issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your hands-on experience and problem-solving skills effectively.
✨Familiarise Yourself with Relevant Tools
If you have experience with data quality tools like Precisely or Informatica, be prepared to discuss them in detail. If you haven’t used them, do a bit of research on their functionalities and how they can improve data quality processes. Showing initiative in learning about these tools can impress your interviewers.
✨Engage with Stakeholders
Since the role involves working closely with various teams, think about how you would engage stakeholders to gather data quality requirements. Prepare to discuss your communication strategies and how you’ve successfully collaborated with both technical and non-technical teams in the past.