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- Tasks: Investigate and resolve data quality issues while collaborating with teams to improve data integrity.
- Company: Wave, a forward-thinking company dedicated to data accuracy and inclusivity.
- Benefits: Competitive salary, hybrid working, generous holiday, and a range of perks.
- Other info: Join a supportive team with excellent career growth opportunities and a commitment to social responsibility.
- Why this job: Make a real impact on data quality and help shape Wave's data culture.
- Qualifications: Experience with data analysis, SQL skills, and a proactive problem-solving mindset.
The predicted salary is between 32229 - 32229 ÂŁ per year.
Location: Contractual base at Salvus House, Durham with hybrid working opportunities. An expectation to attend the Durham office at least once a week.
Salary: ÂŁ32,229 plus a discretionary bonus potential of up to 8% of annual salary.
Job Level: C – Reporting to the Data Integrity Team Leader.
The Role
The Data Integrity team sits at the heart of Wave, ensuring that the data we rely on every day is accurate, trusted and fit for purpose. You will investigate and resolve data quality issues, design scalable fixes, and work closely with operational teams, analysts and engineers to prevent future problems.
Typical Day
- Review ongoing data issues, remediation work and data quality reports.
- Analyse data integrity issues to identify root causes and prioritise what needs fixing.
- Carry out targeted data cleansing and corrections, from individual records to large‑scale bulk fixes.
- Use SQL, Excel and reporting tools to investigate issues and validate data accuracy.
- Document remediation activity, data standards and processes to ensure fixes are repeatable and sustainable.
- Test data fixes and improvements, validating outcomes with business users.
- Review data capture processes and recommend improvements to prevent future issues.
- Wrap up the day knowing your work has improved the quality, reliability and trustworthiness of Wave’s data.
Qualifications
- Experience working with data, with a strong focus on accuracy, consistency and reliability.
- Ability to analyse data issues, identify root causes and design effective sustainable fixes.
- Confidence gathering and translating data quality requirements from non‑technical stakeholders.
- Understanding of how data flows across systems and how data quality impacts operational and customer outcomes.
- A structured, organised approach with the ability to manage priorities and work independently.
- Clear communication skills and the confidence to collaborate across teams and challenge constructively when needed.
- A curious, problem‑solving mindset with an eye for patterns, trends and improvement opportunities.
- A proactive “can do” attitude and motivation to help build and strengthen Wave’s data culture.
- Demonstrable experience of SQL.
Benefits
- Excellent pension scheme – double match your contribution up to 5% employee contribution and 10% from Wave.
- Bonus potential.
- Perkbox membership and a wide range of perks (shopping, travel, fitness, etc.).
- Income protection scheme.
- Personal accident insurance.
- 4 Ă— salary life assurance.
- Free onsite parking.
- 24 days holiday rising to 26 days (plus bank holidays).
- A day off for your birthday.
- Half a day on Christmas Eve and New Year’s Eve.
- Option to buy holidays.
- 1 day paid volunteering.
- Hybrid/flexible working.
- Healthcare cashback and treatment scheme.
- Cycle‑to‑work scheme.
- Annual conference and Christmas party.
- 24/7 Employee Assistance Programme.
- Free flu shots.
- Enhanced maternity and paternity pay.
- Enhanced shared parental and adoption leave.
- Comprehensive range of resources for employees and their families.
Wave is committed to making a positive difference to the environment and society in which it operates. Wave is proud to be an inclusive employer and actively encourages applications from all backgrounds. We will take into consideration any adjustments or individual requirements at any stage of your recruitment journey. If you require any additional support related to menopause, neurodiversity, or any other reason, please let us know by contacting.
Data Integrity Analyst employer: Wave
Contact Detail:
Wave Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Integrity Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Wave on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Integrity Analyst role.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and data analysis techniques. We recommend practising common data integrity scenarios and how you would tackle them, so you can impress the hiring team with your problem-solving mindset.
✨Tip Number 3
Show off your communication skills! During interviews, be ready to explain complex data issues in simple terms. This will demonstrate your ability to gather and translate data quality requirements from non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Wave team.
We think you need these skills to ace Data Integrity Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Integrity Analyst role. Highlight your experience with data accuracy, SQL skills, and any relevant projects that showcase your problem-solving abilities. We want to see how you can contribute to our team!
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 your skills align with our mission at Wave. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t forget to mention specific examples where you've identified data issues and implemented solutions. We’re looking for that curious mindset and structured approach, so let us know how you’ve tackled challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our awesome company culture!
How to prepare for a job interview at Wave
✨Know Your Data Inside Out
Before the interview, brush up on your data knowledge. Familiarise yourself with common data integrity issues and how they can impact business outcomes. Be ready to discuss specific examples from your past experience where you identified and resolved data quality problems.
✨Show Off Your SQL Skills
Since SQL is a key part of the role, make sure you can confidently talk about your experience with it. Prepare to answer technical questions or even solve a problem on the spot. Practising SQL queries beforehand can really help you feel more at ease during the interview.
✨Communicate Clearly and Confidently
You’ll need to collaborate with various teams, so clear communication is essential. Practice explaining complex data concepts in simple terms. Think of examples where you successfully communicated with non-technical stakeholders to gather requirements or resolve issues.
✨Demonstrate Your Problem-Solving Mindset
Be prepared to showcase your analytical skills. Think of a time when you faced a challenging data issue and how you approached solving it. Highlight your curiosity and proactive attitude towards improving data processes, as this aligns well with what the company values.