At a Glance
- Tasks: Support data governance practices and collaborate with experienced professionals in a dynamic environment.
- Company: Join a multinational defence programme focused on data governance.
- Benefits: Gain practical experience, develop skills, and work in a secure environment.
- Other info: Opportunity for growth and development in a supportive team.
- Why this job: Kickstart your career in data governance and make a real impact.
- Qualifications: Degree level education and a strong desire to learn about data governance.
The predicted salary is between 28000 - 35000 £ per year.
We are seeking a junior Data Governance Custodian to join our client's Data Team, working under the supervision of senior Data Custodians, Data Stewards and Data Governance Leads. This role is ideally suited to a graduate or early-career professional who is motivated to build a career in data governance within a secure and highly regulated environment. The role will support the establishment and ongoing operation of data governance practices across a greenfield, multinational defence programme. A strong attitude, curiosity and willingness to learn are considered more important than prior deep experience.
Key Responsibilities
- Support senior Data Custodians in implementing and maintaining data governance standards, policies and processes
- Assist in maintaining data catalogues, data dictionaries and business glossaries
- Contribute to metadata capture, classification and documentation of data assets
- Support data quality activities including validation, issue identification and remediation tracking
- Help monitor data usage, access and compliance with security and governance policies
- Assist with data audits, documentation and governance reporting activities
- Engage with business users to capture data requirements and understand how data is used
- Support the rollout and adoption of governance tooling under guidance
Role Requirements
- Must hold current SC (Security Check) clearance
- Educated to degree level or equivalent experience
- Strong desire to learn and build a career in data governance or data management
- Self-starter with the ability to take initiative and follow through on tasks
- Strong work ethic and positive attitude, with a willingness to take ownership of development
- High attention to detail and ability to work with structured information
- Good communication skills and ability to work collaboratively within a team
- Any exposure to data, analytics or information management, including academic or early career experience
- Awareness of data governance concepts such as metadata, data quality or data classification
- Familiarity with Microsoft tools such as Excel or Power BI, or governance tools such as Purview
- Experience working with structured data in any context
- Work closely with experienced Data Custodians and governance leads to build capability
- Develop practical experience in metadata management, governance tooling and compliance processes
- Progress towards managing defined data sets or domains with appropriate support
- Build confidence working within a secure and regulated environment
- Demonstrate continuous improvement through learning, curiosity and proactive engagement
Data Governance Custodian (Junior) in Reading employer: Stable
Join our dynamic Data Team as a Junior Data Governance Custodian, where you'll thrive in a supportive and collaborative environment dedicated to your professional growth. With a focus on building a career in data governance within a secure, multinational defence programme, you'll benefit from hands-on experience, mentorship from seasoned professionals, and the opportunity to contribute to meaningful projects that shape the future of data management. Our commitment to fostering a culture of learning and innovation makes us an exceptional employer for those eager to make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data Governance Custodian (Junior) in Reading
✨Embrace Online Competitions
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We think you need these skills to ace Data Governance Custodian (Junior) in Reading
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Stable, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Stable aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Stable
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
