Data Quality Analyst

Grade C -  Grade C: £34,890 (National) or £40,746(London – for London office based or homebased workers within the boundary ofthe M25)  
There is also an additionalhomeworking allowance of £600 per annum for those working from home. For parttime roles – please note this will be pro rata.
Contracted Hours:  FullTime 37 Hours Per Week, Part time Hours will be considered (21 hours minimum) 
Contract Type:  Permanent
Closing date: 11th January 2025 at 11.59pm

Make a DifferenceEvery role at the CareQuality Commission (CQC) helps us achieve our mission to ensure better healthand care for everyone. If you’re passionate about data and want a role withreal purpose, this is your opportunity. As a Data Quality Analyst,you’ll play a vital part in improving the quality and integrity of the datathat underpins our decisions and services across England.

Picture This
In the last 12 months, as a Data Quality Analyst, you might have:

• Help to design and implement a Data Governance Framework that ensures consistency and compliance.
• Worked with data owners, stewards and system stakeholders to assess data quality perform root cause analysis and help to create a data remediation plan.
• Created dashboards and monitoring tools to track data governance across multiple domains.
• Promoted a strong data culture, helping colleagues understand the value of good quality data.

You’ll Play a Key Role By

• Supporting the Data Governance Lead in implementing standards and policies for data governance including data quality management.
• Conducting data profiling and performing root cause analysis, developing comprehensive data quality reports to identify issues and collaborating on the implementation of remediation plans to resolve data quality issues.
• Engaging with Data Stewards to capture business rules and implement controls that guarantee high data quality throughout the data lifecycle.
• Reporting on data quality to the Data and Information Governance Council and other stakeholders.
• Driving continuous improvement and embedding best practices across the organisation.

Show Us
We’re looking forcandidates who can demonstrate:

• Experience creating and implementing data quality dashboards and monitoring techniques.
• Strong skills in data profiling, rule creation, andworking with large datasets.
• An understanding of programming languages (SQL) and data modelling.
• Knowledge of data quality management tools, dimensionsand processes.
• Ability to work flexibly in multi-disciplinary teams and engage effectively with stakeholders.

ComplianceTo progress your application, you’ll need to provide evidence of your right towork in the UK. Without valid right to work you won’t be eligible for therole. We are unable to offer sponsorship for this role.   Someroles may also be subject to a satisfactory DBS check.

Next stepsIf you apply, you’ll need to create a profile and complete an online application form. Your application will be completely anonymous.   Please see our information for applicants  for more details on the process. We contact every applicant  to let them know the outcome of their application, so you will hear from us whether or not you are shortlisted.
You can read the full details of the role in the Job Description
If you’d like an informal chat about the role contact – AshPollock Harris; . For general enquiries, please email  .

The BenefitsWeoffer a wide range of benefits , including:

• Annual leave starting at 27 days per year, rising to 32.5 days with service, plus bank holidays (usually 8 days per year).
• Training and development opportunities.
• Wellbeing initiatives, such as gym discounts and meditation.
• NHS pension scheme, with around 14% employer contribution.
• Discount schemes (including eligibility for a Blue Light card, at a cost of £4.99 and valid for 2 years), reward vouchers, car leasing and more!

Please see our benefits  page for the full list.

Equity for allWe know job descriptions can feel intimidating. Research shows they can cause some people to doubt whether they’re a good fit. This happens more often to people from underrepresented groups (e.g. ethnic minority backgrounds). If this role interests you, we encourage you to apply.  Your unique perspective, skills, and experience could be exactly what we need.
We want every candidate to feel supported and able to do their best. If you need adjustments to our process, we’ll work with you to remove any barriers . Visit our accessibility page  for more on this. If you’d like to chat, please contact  . Please note, if you have previously informed us of adjustments you need for interview or within your role these are not carried over and must be discussed for each individual application you make.
We promote a workplace where fairness, respect and inclusion are a priority . Diverse teams make our work better, help us deliver our mission and make our culture stronger. See our ED&I page  for more about this.
We welcomeapplications from everyone, and colleagues can find supportand community among our many employee networks. This includes people of any:

• Age
• Sex
• Gender identity or expression
• Sexual orientation
• Religion or belief
• Ethnicity
• Disability

Values and visionWe are guided by our core values, which shape our work and our culture.
Excellence  – being a high-performing organisation.
Caring  – treating everyone with dignity and respect.
Integrity  – doing the right thing.
Teamwork  – learning from each other to be the best we can.
We are a disability confident employer and a carer confident employer.

A Note on AIAI tools can be great for research and refining ideas, but we want to learn about you. If you use AI or Chatbots to help you with your application, keep these points in mind:

•        AI can support research, structuring and refining your writing, but your application must  reflect your real skills and experience .
•        Spell-checking and condensing word counts are great ways to use AI effectively.
•        Do not  copy and paste AI generated answers. These will not help you stand out; remember we want to hear about your skills and experience.
•        Providing false and insincere examples goes against our core values of honesty and integrity and may lead to your application being withdrawn  or termination of your employment.