At a Glance
- Tasks: Lead the development of enterprise data quality standards and drive improvements.
- Company: Dynamic organisation focused on data-driven decision-making.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with autonomy and visibility across key business areas.
- Why this job: Shape data quality strategy and make a real impact on business efficiency.
- Qualifications: 5+ years in data quality management and strong technical skills.
The predicted salary is between 36000 - 60000 £ per year.
Contract: 6–9 months
IR35: Outside
Location: Hybrid (1 day per week onsite in Coventry)
Role Overview
We are seeking a Data Quality Specialist to lead the development and implementation of enterprise data quality standards. You will own the monitoring framework, continuously refine validation rules, and drive improvements that ensure data is accurate, reliable, and adds business value. This is a strategic, hands‑on role focused on establishing long‑term data quality practices rather than day‑to‑day analysis.
Key Responsibilities
- Define and implement enterprise data quality standards, metrics, and validation rules.
- Maintain and refine the data quality monitoring framework across systems and processes.
- Identify data quality issues, perform root cause analysis, and coordinate remediation efforts.
- Develop and deliver data quality strategy and initiatives, translating them into actionable outcomes.
- Work with business teams, including customer contact centres, to improve data capture, reduce anomalies, and ensure data is trustworthy.
- Train and support data stewards and teams in maintaining high data quality standards.
- Advise on metrics that measure the commercial and operational impact of data quality improvements.
- Promote process improvement and automation in data cleansing and validation.
Required Skills & Experience
- 5+ years’ experience in data quality management or analysis.
- Strong technical skills, including SQL; programming knowledge a plus.
- Familiarity with ETL processes and data quality tools.
- Experience defining and implementing data quality metrics and monitoring frameworks.
- Proven ability to translate data quality initiatives into measurable business value.
- Commercially minded with a focus on reducing repetition and anomalies, ensuring trustworthy data.
- Strong process improvement mindset, inquisitive and proactive.
- Relevant degree in data science, computer science, or related field.
Soft Skills & Attributes
- Strategic thinker able to develop and deliver long‑term data quality strategy.
- Comfortable engaging with business stakeholders and translating technical concepts into business impact.
- Collaborative and able to train and influence teams across the organisation.
Why This Role
This is a unique opportunity to shape the data quality strategy for a business, directly impacting operational efficiency and decision‑making. You will have autonomy, visibility with key business areas, and the chance to establish frameworks that drive long‑term value from data.
Lead Data Quality Specialist in Coventry employer: Maxwell Bond
As a Lead Data Quality Specialist, you will join a forward-thinking organisation that prioritises data integrity and operational excellence. With a hybrid working model based in Coventry, the company fosters a collaborative work culture that encourages innovation and continuous improvement, offering ample opportunities for professional growth and development. Employees benefit from a supportive environment where their contributions directly influence strategic initiatives, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Quality Specialist in Coventry
✨Tip Number 1
Network like a pro! Reach out to people in the data quality field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a case study showcasing your past projects in data quality management. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data quality scenarios. Think about how you would tackle specific issues and be ready to discuss your thought process with examples.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us, and it’s the best way to ensure your application gets noticed.
We think you need these skills to ace Lead Data Quality Specialist in Coventry
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Quality Specialist role. Highlight your experience in data quality management and any relevant technical skills, like SQL. We want to see how your background aligns with our needs!
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 contribute to our team. Be sure to mention specific examples of your past successes in similar roles.
Showcase Your Strategic Thinking:In your application, emphasise your ability to think strategically about data quality. We’re looking for someone who can develop long-term strategies, so share any experiences where you've successfully implemented such initiatives.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status directly with us!
How to prepare for a job interview at Maxwell Bond
✨Know Your Data Quality Standards
Before the interview, brush up on enterprise data quality standards and metrics. Be ready to discuss how you've defined and implemented these in your previous roles. This shows you understand the core of what the company is looking for.
✨Showcase Your Technical Skills
Make sure to highlight your technical skills, especially SQL and any programming knowledge you have. Prepare examples of how you've used these skills to solve data quality issues or improve processes in the past.
✨Prepare for Scenario Questions
Expect scenario-based questions where you'll need to demonstrate your problem-solving abilities. Think of specific instances where you've identified data quality issues and how you coordinated remediation efforts. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Engage with Stakeholders
Since this role involves working with various business teams, be prepared to discuss how you've engaged with stakeholders in the past. Share examples of how you've translated technical concepts into business impact, showcasing your collaborative approach.
