Data Quality Analyst

Data Quality Analyst

Theale Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Own and develop Data Quality Reports while optimising data processes.
  • Company: Join a dynamic finance and IT team focused on data governance.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Why this job: Make a real impact by improving data quality and supporting business efficiency.
  • Qualifications: Degree level education with experience in BI tools and data governance.
  • Other info: Collaborative environment with a focus on innovation and excellence.

The predicted salary is between 36000 - 60000 £ per year.

ROLE DESCRIPTION

Role Title: Data Quality Analyst
Directorate: Finance, IT and BI
Team name: BI
Role Level (Grade): Implement
Reports To (job title): Data Governance Manager
Direct Reports (job title/s): None
Indirect reports (no.): None

MAIN PURPOSE OF ROLE

To own and develop Data Quality Reports, to set up and maintain automated data processes and support the business in fixing data. To provide information and data out to the business whilst acting as an outward ambassador for the BI Team.

Working with the Business to develop and plan data quality improvements inline with the data strategy and framework.

Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality

Contribute and apply best practice and expertise knowledge in all areas under remit of supporting the strategic roadmap for Data Governance.

KEY RESPONSIBILITIES

  • Analysis and development: Deliver BAU work and report production including review and continual development of the daily and overall Data Governance processes/controls to improve the performance and reliability of Data and deliver business efficiencies.
  • Participate in the application and deployment of data policies and processes and their continued enforcement to include areas such as workflow for data ingestion, data quality, master data and data life cycle management.
  • Ensure that data quality guidance and direction is applied throughout the entire data lifecycle, most importantly upfront, through the vision and roadmaps for solutions that seek to leverage data and data services.
  • Support the development and maintenance of an end to end data lifecycle management approach
  • Responsible for applying data governance framework including the management of data, data operating model, data policies and standards as well as the application of clearly defined data management definitions for use across the company
  • Apply a data governance framework, with a focus on continued improvement of data quality and strict adherence to the agreed Trust and Classification processes.
  • Follow the guidelines related to data governance and data quality and ensure clear accountability. In addition, have a key role working with various stakeholders across the organization to achieve the goals defined in the data governance and data management strategies.
  • Deliver status updates on data quality by updating a Data Quality dashboard
  • Follow standards, policies and processes regarding data quality management
  • Operate data remediation plans where data fails to meet required standard

Stakeholder Engagement

  • Build & maintain effective working relationships with Cornerstone teams and Shareholders
  • Work closely with clients to gather business requirements, understand data and communicate project plans/ updates etc.

Compliance & Security

To support and contribute actively to regulatory compliance, health and safety, environmental, business continuity and information security arrangements that meets our obligations to our customers.

PERSON SPECIFICATION (EXPERTISE)

Required (minimum) / Desired

  • Experience (technical, managerial, industry): BI tools best practice
  • Agile and waterfall project practice
  • Task and time management
  • Telecomms background

Education level / Qualifications (professional, vocational)

Degree level with significant business experience

Skills / Knowledge

  • Understanding of Master Data Management technology landscape, processes, and design principles
  • Operational familiarity in the use of meta-data management, data quality, and data stewardship tools and platforms
  • Experience in the use of data catalogues and data quality technologies
  • Experience in the use of reporting and data quality tools; for example Power BI
  • Hands-on operational management and change management.
  • Proven track record in operating data governance programs

Cornerstone Values

Operate and uphold Cornerstone\’s values of delivering excellence, stronger connections, sharper solutions and inspiring transformations

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Data Quality Analyst employer: Cornerstone

As a Data Quality Analyst at our company, you will thrive in a dynamic and supportive work environment that prioritises employee growth and development. We offer comprehensive training opportunities, a collaborative culture that values innovation, and the chance to make a meaningful impact on our data governance strategies. Located in a vibrant area, our workplace fosters strong connections and encourages a commitment to excellence, making it an ideal setting for professionals seeking rewarding careers.
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Contact Detail:

Cornerstone 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, especially those already working as Data Quality Analysts. A friendly chat can lead to insider info about job openings and even referrals.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data quality reports and analyses. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your knowledge of data governance frameworks and BI tools. Be ready to discuss how you've applied these in past roles or projects.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data Quality Analyst

Data Quality Reporting
Automated Data Processes
Data Analysis
Statistical Efficiency
Data Governance Framework
Data Lifecycle Management
Data Policies and Standards
Stakeholder Engagement
Business Requirements Gathering
Power BI
Data Remediation Plans
Agile and Waterfall Project Practices
Master Data Management
Data Quality Technologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Quality Analyst role. Highlight your experience with BI tools, data governance, and any relevant projects you've worked on. We want to see how your skills align 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 job description.

Showcase Your Technical Skills: Don’t forget to highlight your technical skills in your application. Mention your familiarity with data quality tools like Power BI and any experience you have with data lifecycle management. We love seeing candidates who are technically savvy!

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 keep track of your application status. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Cornerstone

✨Know Your Data Inside Out

As a Data Quality Analyst, it's crucial to have a solid understanding of data governance and quality principles. Brush up on your knowledge of BI tools, data lifecycle management, and the specific technologies mentioned in the job description, like Power BI. This will not only help you answer technical questions but also show your genuine interest in the role.

✨Prepare Real-World Examples

Think of specific instances where you've successfully improved data quality or managed data governance processes. Be ready to discuss how you approached challenges, the tools you used, and the outcomes. This will demonstrate your hands-on experience and problem-solving skills, which are key for this position.

✨Engage with Stakeholders

Since stakeholder engagement is a big part of this role, prepare to talk about how you've built relationships with clients or team members in the past. Highlight your communication skills and how you’ve gathered business requirements effectively. This will show that you can work collaboratively and understand the bigger picture.

✨Showcase Your Continuous Improvement Mindset

The role emphasises ongoing development and adherence to best practices. Be prepared to discuss how you stay updated with industry trends and your approach to continuous improvement in data quality. Mention any relevant certifications or training you've undertaken to enhance your skills, as this will reflect your commitment to excellence.

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