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- Tasks: Ensure data accuracy and reliability while collaborating with teams to improve data quality.
- Company: Global organisation driving digital transformation with a focus on innovation.
- Benefits: Competitive salary, annual bonus, private healthcare, and flexible leave options.
- Other info: Dynamic environment with excellent career progression and continuous learning opportunities.
- Why this job: Join a collaborative team and make a real impact on data quality and governance.
- Qualifications: Experience in data quality, strong SQL/Python skills, and familiarity with data platforms.
The predicted salary is between 50000 - 60000 £ per year.
Hybrid – London 3 days onsite and 2 days remote based. This global organisation is focused on delivering complex builds and improving operations through digital innovation. The team is currently driving a major digital transformation, using data and technology to improve efficiency, performance, and decision-making. You’ll be joining a collaborative IT environment that supports the full technology lifecycle—from solution design and project delivery to ongoing operations—within a culture that values inclusion, flexibility, and continuous learning.
The role sits within the global data team and focuses on ensuring data is accurate, consistent, and reliable across systems and reporting. You’ll work closely with business and technical teams to identify risks early, investigate issues, and improve overall data quality practices. The role also plays a key part in data migration, validation, and governance.
Key responsibilities:- Identify data quality risks through stakeholder collaboration and analysis
- Profile and assess data to detect inconsistencies and anomalies
- Investigate root causes and support resolution of data issues
- Validate mappings, transformations, and outputs during data migration
- Perform reconciliation and post-migration quality checks
- Track and resolve defects during testing and deployment
- Translate business needs into measurable data quality requirements
- Support implementation of data quality rules and pipeline controls
- Develop monitoring, alerts, and data quality KPIs
- Collaborate on data governance standards and training
- Contribute to continuous improvement of data processes and policies
- Ensure compliance with governance and regulatory requirements
- Experience in data quality, data analysis, or related fields
- Strong SQL and/or Python skills; familiarity with modern data platforms (e.g. Databricks or Snowflake)
- Experience with data profiling, cleansing, and migration
- Understanding of data pipelines and engineering best practices
- Knowledge of data governance and quality frameworks
- Ability to work across teams and manage evolving requirements
- Familiarity with Agile and/or Waterfall delivery environments
- Relevant certifications or equivalent practical experience
This fantastic company are offering a competitive base salary, career progression and a range of benefits:
- Annual bonus and pension contribution
- Private healthcare and wellbeing support
- Generous annual leave with flexible options
- Enhanced parental leave
- Flexible benefits (e.g. travel loans, gym discounts, cycle scheme)
- Strong learning and career development support
Data Quality Analyst in London employer: Venturi
Contact Detail:
Venturi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data quality. Building relationships can lead to insider info on job openings and give you a leg up when applying.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your SQL and Python skills. Share specific examples of how you've tackled data quality issues in the past. This will show them you're not just talk—you're ready to deliver results!
✨Tailor Your Approach
Every company is different, so do your homework! Understand their data challenges and think about how you can help. When you apply through our website, make sure your application reflects your understanding of their needs and how you can contribute to their digital transformation.
✨Follow Up
After an interview or networking event, don’t be shy—send a quick follow-up message! Thank them for their time and reiterate your interest in the role. It keeps you on their radar and shows you're genuinely keen on joining their team.
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 speaks directly to the Data Quality Analyst role. Highlight your experience with data quality, SQL, and any relevant tools like Databricks or Snowflake. We want to see how your skills align 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 digital transformation. Keep it concise but impactful—show us your personality!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've identified and resolved data issues in the past. We love candidates who can think critically and collaborate with teams to improve data practices.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Venturi
✨Know Your Data Inside Out
Make sure you brush up on your data quality concepts and practices. Be ready to discuss how you've identified data quality risks in the past and the methods you've used to resolve them. This will show that you understand the core responsibilities of a Data Quality Analyst.
✨Show Off Your Technical Skills
Since strong SQL and Python skills are essential for this role, prepare to demonstrate your proficiency. You might be asked to solve a problem or write a query on the spot, so practice common data manipulation tasks beforehand to boost your confidence.
✨Collaborate Like a Pro
This role involves working closely with various teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your experience in stakeholder engagement and how you’ve translated business needs into actionable data quality requirements.
✨Embrace Continuous Learning
The company values continuous learning, so express your enthusiasm for professional development. Mention any relevant certifications or courses you've taken, and be prepared to discuss how you stay updated with the latest trends in data governance and quality frameworks.