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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 employer: Levick Stanley
Contact Detail:
Levick Stanley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst
✨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. Be ready to discuss how your skills in SQL and reporting tools like Power BI can help them improve their data quality.
✨Tip Number 3
Showcase your analytical skills during interviews. Bring examples of how you've tackled data issues in the past and the impact your solutions had on data accuracy and integrity.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Quality Analyst
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 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 listed in the job description.
Showcase Your Analytical Skills: In your application, don’t forget to highlight 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 get all the updates. Plus, it shows you're keen on joining our team at StudySmarter!
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 confidently discuss your experience with SQL queries. Consider preparing a few examples of complex queries you've written or challenges you've faced while working with databases.
✨Prepare for Stakeholder Scenarios
Think about times when you've worked with stakeholders to improve data quality or reporting standards. Be ready to share these experiences, focusing on how you communicated findings and drove improvements collaboratively.
✨Understand Regulatory Requirements
Familiarise yourself with the regulatory environment relevant to the organisation. Be prepared to discuss how you would ensure compliance with data standards and how you've handled similar responsibilities in previous roles.