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- Tasks: Ensure data accuracy and consistency while implementing best practices for data quality.
- Company: A mission-driven organisation focused on improving lives through data integrity.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real difference by shaping impactful services through high-quality data.
- Qualifications: Degree in a relevant field and experience in data quality methods required.
- Other info: Join a collaborative team that values innovation and excellence.
The predicted salary is between 36000 - 60000 £ per year.
An organisation with a strong social mission, dedicated to improving lives through data-driven decision-making and high standards of information integrity. You’ll join a team that values collaboration, innovation, and excellence, where data plays a critical role in shaping impactful services and outcomes.
As a Data Quality and Protocols Officer, you will ensure that the organisation’s data assets are accurate, consistent, and fit for purpose. You’ll implement and maintain data protocols, standards, and governance practices, supporting compliance and enabling informed decision-making across teams. Acting as a bridge between technical and non-technical stakeholders, you’ll embed a strong data quality culture and enforce best practices.
Key responsibilities include:
- Defining and maintaining data quality rules, validations, and checks.
- Monitoring data quality metrics and producing dashboards/reports.
- Performing data cleansing, deduplication, and validation routines.
- Developing and documenting data protocols, standards, and policies.
- Supporting compliance with GDPR and other data protection regulations.
- Advising staff on data quality issues and delivering training to build data literacy.
- Collaborating with IT, legal, and compliance teams to align protocols with security and privacy requirements.
- Supporting audits, risk assessments, and system improvements to enhance data integrity.
What you’ll need to succeed
Essential qualifications and experience:
- Bachelor’s degree (or equivalent experience) in Computer Science, Information Systems, Data Science, Statistics, or a related discipline.
- Experience in data quality methods (validation, profiling, cleansing) in medium/large-scale environments.
- Hands-on experience with relational databases, ETL processes, and CRM systems (e.g., Salesforce, Dynamics).
- Strong skills in data extraction, transformation, and reporting (Excel, SQL, BI tools).
- Understanding of GDPR, UK data protection laws, and compliance requirements.
- Ability to work with both technical and non-technical stakeholders.
Desirable:
- Certifications in data governance or data quality (e.g., CDMP, DAMA).
- Experience with data quality/profiling tools (e.g., Talend, Collibra, Informatica).
- Familiarity with automation, alerts, and exception-handling systems.
- Experience in training staff on data practices and improving business processes.
Skills and competencies:
- Strong understanding of data management principles, governance, and lifecycle.
- Excellent communication skills to explain technical issues clearly.
- Analytical mindset with attention to detail and problem-solving ability.
- Ability to prioritise multiple demands and deadlines.
Data Quality and Protocols Officer in Reading employer: hays-gcj-v4-pd-online
Contact Detail:
hays-gcj-v4-pd-online Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality and Protocols Officer in Reading
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company’s mission and values. Show them you’re not just another candidate; you genuinely care about their social mission and how data drives their decisions.
✨Tip Number 3
Practice your responses to common interview questions, especially those related to data quality and compliance. We want you to feel confident when discussing your experience with data protocols and standards.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Quality and Protocols Officer in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Quality and Protocols Officer. Highlight your experience with data quality methods and any relevant tools you've used. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data integrity and how you can contribute to our team. Don’t forget to mention your understanding of GDPR and data protection laws, as they’re super important to us.
Showcase Your Collaboration Skills: Since this role involves working with both technical and non-technical stakeholders, make sure to highlight any past experiences where you’ve successfully bridged that gap. We love teamwork, so let us know how you’ve collaborated in the past!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at hays-gcj-v4-pd-online
✨Know Your Data Inside Out
Before the interview, make sure you’re well-versed in data quality methods and protocols. Brush up on your knowledge of validation, profiling, and cleansing techniques, as well as any relevant tools like Talend or Informatica. Being able to discuss these confidently will show that you’re ready to hit the ground running.
✨Showcase Your Communication Skills
Since this role involves acting as a bridge between technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Prepare examples from your past experiences where you successfully communicated data issues or solutions to diverse teams. This will highlight your ability to collaborate effectively.
✨Demonstrate Your Analytical Mindset
Be ready to discuss how you approach problem-solving and data analysis. Think of specific instances where you identified data quality issues and the steps you took to resolve them. Highlight your attention to detail and how it has positively impacted previous projects or teams.
✨Familiarise Yourself with GDPR and Compliance
Understanding data protection regulations is crucial for this role. Brush up on GDPR and UK data protection laws, and be prepared to discuss how you’ve ensured compliance in past roles. Showing that you take data integrity seriously will resonate well with the organisation’s mission.
