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For Companies At a Glance
- Tasks: Analyse data quality, improve reporting standards, and collaborate with stakeholders.
- Company: Join a large, regulated organisation undergoing exciting digital transformation.
- Benefits: 12-month contract with competitive salary and opportunities for professional growth.
- Other info: Collaborative culture with excellent career development opportunities.
- Why this job: Make a real impact on data quality and governance in a dynamic environment.
- Qualifications: Experience in data analysis, strong SQL skills, and knowledge of data governance.
The predicted salary is between 35000 - 45000 £ per year.
We are recruiting for a skilled and commercially aware Data Analyst to join a growing Data Assurance & Quality team within a large, regulated organisation undergoing significant digital and data transformation. This role is a 12 month FTC.
The Role
As a Data Analyst within the Data Assurance & Quality function, you will work closely with Data Stewards, governance leads, and business stakeholders to identify data quality issues, improve reporting standards, and strengthen governance controls across the organisation. This role combines:
- Data analysis
- Governance & assurance
- Stakeholder management
- Regulatory reporting
- Data quality improvement
- Process optimisation
Key Responsibilities
- Investigate data issues, identify root causes, and recommend solutions to improve data accuracy and integrity
- Drive and support business stakeholders and Data Stewards in creating and delivering data improvement plans
- Define and monitor data quality and performance metrics aligned to business rules and governance standards
- Produce data quality reports, dashboards, and scorecards, communicating findings clearly to business stakeholders
- Maintain records of end-to-end data processing and information inventories to support audit and regulatory requirements
- Support the completion and assurance of regulatory returns and compliance reporting
- Assess the impact of data-related changes and ensure compliance with agreed data standards and definitions
- Support Data Governance Forums and working groups through reporting, engagement, and governance activities
- Work collaboratively across business and technical teams to improve data controls and processes
Essential Skills & Experience
- Previous experience in a Data Analyst, Data Quality Analyst, MI Analyst, or similar role
- Strong experience with data governance and data quality frameworks
- Strong SQL skills
- Experience with reporting and dashboarding tools such as Power BI
- Advanced Excel skills
- Experience creating data quality metrics, reports, and scorecards
- Strong analytical and problem-solving skills
- Experience working with stakeholders across technical and non-technical teams
- Ability to investigate and resolve complex data issues
- Understanding of governance, audit, and regulatory reporting environments
Data Quality Analyst in London employer: Levick Stanley
Contact Detail:
Levick Stanley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its data governance practices. Show them you’re not just another candidate; you’re genuinely interested in how they handle data quality and assurance.
✨Tip Number 3
Practice your problem-solving skills! Be ready to tackle real-world data issues during interviews. They might throw some scenarios your way, so brush up on your analytical thinking and SQL skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a leg up in the process.
We think you need these skills to ace Data Quality Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Quality Analyst role. Highlight your experience with data governance, SQL skills, and any relevant tools like Power BI. We want to see how your background aligns with 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 your skills can help us improve our processes. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical and problem-solving skills. Give examples of how you've tackled data issues in the past and the solutions you implemented. We’re keen to see your thought process!
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 updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Levick Stanley
✨Know Your Data Inside Out
Before the interview, brush up on your data analysis skills and be ready to discuss specific examples of how you've tackled data quality issues in the past. Familiarise yourself with common data governance frameworks and be prepared to explain how they apply to the role.
✨Showcase Your SQL Skills
Since strong SQL skills are essential for this position, 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 you need.
✨Engage with Stakeholders
Highlight your experience in stakeholder management during the interview. Be ready to share examples of how you've collaborated with both technical and non-technical teams to improve data processes. This will show that you understand the importance of communication in data governance.
✨Prepare for Regulatory Questions
Given the regulatory nature of the role, expect questions about compliance and audit processes. Brush up on your knowledge of regulatory reporting and be prepared to discuss how you've ensured data accuracy and integrity in previous roles.