Data Quality Analyst in Coventry

Data Quality Analyst in Coventry

Coventry Full-Time 40000 - 48000 £ / year (est.) Home office (partial)
Arden University

At a Glance

  • Tasks: Ensure data accuracy and support AI adoption at Arden University.
  • Company: Join a multi-award-winning university focused on innovation and digital education.
  • Benefits: 30 days holiday, private medical insurance, and free courses for you and your family.
  • Other info: Dynamic team culture with strong opportunities for career progression.
  • Why this job: Be part of a growing data and AI journey that enhances student experiences.
  • Qualifications: Experience in data quality, analysis, and governance is essential.

The predicted salary is between 40000 - 48000 £ per year.

Salary: £40,000 - £48,000 per annum

2 Roles Available

Employment type: Permanent

Hours per week: 37

Reporting into: Data Governance Specialist

Department: IT

This role operates primarily on a remote working arrangement that may require occasional travel (once per month) into one of our UK sites. Our working model arrangements are a non-contractual benefit so please note that an Arden work location is added to our employment contracts.

Unfortunately we are unable to sponsor skilled worker visas for this role.

About Arden University:

We are an aspirational and multi-award-winning university, delivering rapid growth with ambitious plans to disrupt the HE sector through our passion for innovation and digital education. Our vision is to become the first-choice university for career-focused lifelong learners worldwide, ensuring that everyone, everywhere can access higher education.

There has never been a more exciting time to join Arden University, as we expand into new disciplines, forge worldwide partnerships, and expand our locations.

About our Department:

The Data Quality Analyst joins Arden University's Technology Department at an exciting time of growth and innovation. Technology is at the heart of our strategy, enabling us to deliver an outstanding experience for students and colleagues while supporting our ambitious global expansion.

Our Technology team of around 65 specialists spans Software Development, Business Systems, Infrastructure, Cyber Security, Data and IT Operations. Together, we deliver the solutions and services that keep the University running while driving continuous digital improvement.

We're also embarking on a significant AI transformation, embedding AI across the University to enhance the way we work, improve decision-making and deliver even better experiences for our students and staff. As part of our team, you'll have the opportunity to contribute to enterprise-wide initiatives, shape the future of our IT platforms, and play a key role in our evolving digital landscape.

We're committed to developing our people and are proud of our strong culture of learning, collaboration and internal career progression.

About the Opportunity:

As a Data Quality Analyst at Arden University, you'll play a key role in ensuring our data is accurate, trusted and fit for purpose, supporting everything from day-to-day operations to the safe adoption of AI across the University.

Working within our Enterprise Data Architecture team, you'll use modern data governance tools, including Microsoft Purview and CluedIn, to monitor, improve and maintain data quality. Collaborating with Data Owners, Data Stewards and colleagues across the University, you'll help establish best practice, develop data quality controls and drive continuous improvements that enable better decision-making and stronger governance.

This is an exciting opportunity to be part of Arden's growing data and AI journey, helping to build the trusted data foundations that will support innovation, enhance the student experience and ensure data is managed securely, responsibly and in line with regulatory requirements.

About You:

You'll be a data-focused professional with experience in data quality, analysis and governance. You'll have strong analytical skills, attention to detail and the ability to work collaboratively with technical and non-technical stakeholders to improve data accuracy, trust and usability across the University.

Essential Skills / Experience:

  • Evidence of data, analytical or related professional certifications, training or continued development.
  • Strong understanding of data quality principles, governance practices and information management standards.
  • Experience analysing, validating and improving data quality across business systems.
  • Strong analytical and problem-solving skills, with the ability to interpret complex information and provide clear recommendations.
  • Experience with data mapping, process analysis and documenting current and future state processes.
  • Ability to gather requirements and understand data needs from non-technical stakeholders.
  • Experience using process mapping tools, such as Lucid or similar platforms.
  • Ability to identify improvement opportunities and support teams in implementing effective solutions.
  • Experience building effective relationships across teams and supporting knowledge sharing.
  • Understanding of data systems, services and their application within organisational environments.
  • Knowledge of relevant professional, legal and regulatory requirements relating to data management.

Why Arden:

At Arden, you will become a part of a passionate and dedicated team who are committed to removing unnecessary barriers to learning and making education more accessible. Our people work hard to ensure our students' journeys are the best they can possibly be, as such we want to reward our people with fantastic benefits.

  • 30 days holiday + bank holidays on-top, and even a Christmas closure!
  • A generous Aviva pension plan, company contributions starting from 7%
  • BUPA Cash Plan
  • Private Medical Insurance coverage (applies to certain job roles)
  • Access to Perkbox benefits
  • Study any Arden course for free, with a discount for all family and friends
  • Plus, other excellent benefits
  • Our ‘Golden Ticket’ which allows you to gift anyone in your life a free Arden education

Our Values: Stand out, Progressive, Accessible, Resourceful, Kindness, reflect who we are as an institution, a team and as individuals. If they also reflect you and you are excited by the chance to be the driving, creative force within a growing business, we want to hear from you.

There has never been a more exciting time to join Arden University, as we expand into new disciplines and locations.

Closing Date: 19th August

We reserve the right to close this vacancy before the specified closing date should we receive sufficient applications or in order to respond to business needs. In order to avoid missing an opportunity to apply please submit your application as early as possible.

If you are a current Arden student or have an upcoming course with us, you are not eligible to apply for Student Experience roles due to a conflict of interest related to system access.

Equity, Diversity & Inclusion: Arden University is proud to be a Disability Confident Employer. This means that if you have a disability, as defined by the Disability Equality Act 2010, you may be guaranteed an interview if you meet the essential criteria for the role. If you wish to be considered under this scheme, you can indicate via the application form below. By doing so, you are also consenting for this information to be shared with the hiring team.

As an Equal Opportunity Employer we celebrate diversity and are committed to creating a diverse and inclusive workplace. Therefore, we make sure that our recruitment and selection processes never discriminate based upon people's age, disability, gender, race or ethnicity, religion or belief, sexual orientation, or other personal circumstances, and actively welcome applications from all groups.

Data Quality Analyst in Coventry employer: Arden University

Arden University is an excellent employer for those seeking a fulfilling role in higher education, particularly in Birmingham. With a strong commitment to flexible working arrangements, competitive pay, and a supportive work culture, we prioritise employee growth and development, ensuring that our Associate Lecturers thrive in their teaching careers while making a meaningful impact on students' lives.

Arden University

Contact Details:

Arden University Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Quality Analyst in Coventry

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Arden University!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Quality Analyst at Arden University.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Arden University.

Apply Directly through Our Website

When you find a suitable opening like Data Quality Analyst at Arden University, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Quality Analyst in Coventry

Data Quality Principles
Data Governance Practices
Information Management Standards
Data Analysis
Data Mapping
Process Analysis
Requirements Gathering

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Arden University, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Arden University. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Arden University

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Arden University!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.