Data Quality Analyst

Job Description

Salary: £33,556.00 – £39,580.00 GBP. Annual pension: A Civil Service Pension with an employer contribution of 28.97%.

About the role:

As a Data Quality Analyst, you will play a key role in ensuring organisational data is accurate, reliable and fit for purpose, supporting effective decision-making and an excellent customer experience. You will work closely with Data Owners and stakeholders across the business to design and implement robust data quality processes, investigating and analysing data quality issues, identifying root causes and recommending solutions, while defining and monitoring data quality rules, controls and performance metrics. You’ll collaborate with cross functional teams to promote best practice, support governance activities and drive continuous improvement in data quality across the organisation.

Responsibilities:

• Work closely with Data Owners and stakeholders across the business to design and implement robust data quality processes.
• Investigate and analyse data quality issues, identify root causes and recommend remedial actions.
• Define and monitor data quality rules, controls and performance metrics.
• Collaborate with cross functional teams to promote best practice and support governance activities.
• Drive continuous improvement in data quality across the organisation.

Requirements:

• A demonstrable understanding of data quality principles, data management frameworks and best practice approaches to improving data integrity.
• Experience analysing complex data sets, identifying issues and performing root cause analysis to support effective remediation.
• A demonstrable understanding of database design, data structures, schema design and data mapping concepts.
• Ability to build effective working relationships and partner with stakeholders to embed data quality standards across the business.
• Excellent written and verbal communication skills, with the ability to present insights and produce clear, data driven reports.
• Experience defining data quality rules, metrics and performance indicators to monitor and improve data over time.
• A demonstrable understanding of data protection requirements and governance standards.
• Previous experience working with data quality tools or supporting data quality improvement initiatives in a complex environment.

Benefits:

• 28 days annual leave plus 8 public holidays.
• Option to buy/sell annual leave.
• Flexi time and enhanced flexible working options available.
• Option to join the Civil Service pension scheme.
• Life insurance cover for 4 annual salary.
• Enhanced company sick pay and family leave including maternity, paternity and adoption.
• Contributory lifestyle benefit options including discounts at hundreds of retailers, cycle to work scheme, access to the Civil Service Sports and Leisure Club for discounted gym memberships, and an optional dental insurance scheme.

Legal, EDI and Employment Checks:

We’ll need you to confirm you have the right to work in the UK. If we offer you a job and you accept, there are background checks we need to complete before you can start with us. These include employment history, criminal record check, credit reference check and fraud check.

As a proud Disability Confident Leader, we’re committed to creating an inclusive recruitment experience that empowers people of all abilities. Our team actively promotes accessible hiring practices, supports candidates with disabilities throughout their employment journey to help build a diverse equitable workplace at SLC. SLC will make reasonable adjustments for those who consider themselves to have a disability or long term condition in line with the Equality Act 2010. Our application process provides candidates with the opportunity to request reasonable adjustments. If you would like to discuss this in more detail, please email .

Use of AI in Job Applications:

Artificial Intelligence can be a useful tool to support your application. However, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see Candidate Guidance for more information on appropriate and inappropriate use.