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For Companies At a Glance
- Tasks: Analyse data quality, improve reporting standards, and enhance governance controls.
- Company: Join a large, regulated organisation undergoing exciting digital transformation.
- Benefits: 12-month FTC 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 stakeholder management.
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.
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
Locations
Data Quality Analyst in Cheshire, Warrington employer: Levick Stanley
Contact Detail:
Levick Stanley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst in Cheshire, Warrington
✨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 practising common questions related to data quality and governance. We recommend using the STAR method to structure your answers – it helps you showcase your skills effectively!
✨Tip Number 3
Showcase your analytical skills with a portfolio of your work. If you've created dashboards or reports, bring them along to interviews. It’s a great way to demonstrate your experience and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our Data Assurance & Quality team. Keep an eye on our listings and get your application in!
We think you need these skills to ace Data Quality Analyst in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Quality Analyst. 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 you can contribute to our team. Be sure to mention specific experiences that relate to the responsibilities outlined in the job description.
Showcase Your Analytical Skills: In your application, don’t forget to demonstrate your analytical and problem-solving skills. Share examples of how you've tackled data issues in the past and the impact of your solutions. We love seeing real-world applications of your expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
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, practice writing queries that demonstrate your ability to extract and manipulate data. Be ready to discuss how you've used SQL in previous roles to improve data accuracy and integrity.
✨Prepare for Stakeholder Scenarios
Think about times when you've worked with both technical and non-technical stakeholders. Prepare examples that highlight your communication skills and your ability to translate complex data issues into understandable terms for different audiences.
✨Bring Your Reporting A-Game
Familiarise yourself with reporting tools like Power BI and Excel. Be ready to discuss how you've created dashboards or scorecards in the past, and think about how you can present data quality metrics clearly and effectively to stakeholders.