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For Companies At a Glance
- Tasks: Investigate and resolve data quality issues while collaborating with teams to enhance data integrity.
- Company: Wave, a forward-thinking company prioritising data accuracy and reliability.
- Benefits: Competitive salary, bonus potential, excellent pension scheme, and a range of perks.
- Other info: Enjoy hybrid working and excellent career growth opportunities in a supportive environment.
- 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.
Data Integrity Analyst in Bath employer: Wave
Contact Detail:
Wave Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Integrity Analyst in Bath
✨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 our data culture at Wave.
We think you need these skills to ace Data Integrity Analyst in Bath
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly 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 fit into 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 shy away from sharing specific examples of how you've tackled data issues in the past. We’re looking for candidates who can identify root causes and design effective fixes, so let us know how you've done this before!
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 all the latest updates. Plus, it’s super easy – just a few clicks and you’re on your way to joining our team!
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 be ready to discuss how you've tackled similar problems in the past. This will show that you understand the role and can hit the ground running.
✨Show Off Your SQL Skills
Since SQL is a key part of this role, make sure you can demonstrate your proficiency. Prepare to answer technical questions or even solve a problem on the spot. Practising SQL queries beforehand can give you the confidence to showcase your skills effectively.
✨Communicate Clearly and Confidently
You’ll need to gather requirements from non-technical stakeholders, so practice explaining complex data concepts in simple terms. During the interview, focus on clear communication and don’t hesitate to ask clarifying questions if needed.
✨Be Ready to Problem-Solve
Prepare for scenario-based questions where you might need to identify root causes of data issues. Think about past experiences where you’ve successfully resolved data problems and be ready to share those stories, highlighting your analytical and problem-solving skills.