At a Glance
- Tasks: Partner with business units to enhance data governance and ensure compliance.
- Company: Join a leading firm in the car finance sector focused on data excellence.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Full-time role with a dynamic team and excellent career development prospects.
- Why this job: Make a real impact on data governance while working with innovative tools like Collibra.
- Qualifications: 5+ years in data governance, strong analytical skills, and knowledge of GDPR.
The predicted salary is between 42000 - 49668 £ per year.
We are looking for someone with over 5 years of experience in data governance, data management, or related roles. A strong understanding of data governance frameworks, such as DAMA-DMBOK, is essential. You should possess strong business and data analyst skills, along with hands-on experience using Collibra or similar tools for cataloging, policy management, and workflow configuration. Excellent interpersonal and communication skills are a must for engaging with our business stakeholders. Additionally, knowledge of data privacy regulations, such as GDPR, and compliance within financial services is crucial. An analytical mindset with great attention to detail and problem-solving capabilities is also required.
In this role, you will partner directly with our business units to understand operational data needs and ensure alignment with governance policies. You will support the development, implementation, and maintenance of our data governance standards, policies, and procedures. Promoting data ownership and stewardship across departments to ensure accountability and compliance will be part of your job. You’ll leverage Collibra to manage data domains, workflows, and governance artifacts. Additionally, you will facilitate data quality initiatives, including issue resolution and root cause analysis, maintain metadata repositories, and ensure consistent data definitions across systems. Monitoring regulatory compliance while supporting audit and risk management activities will be essential. Lastly, you will provide training and guidance to business users regarding data governance principles and Collibra usage.
This is a full-time position located in Milton Keynes, with a requirement of 2 days on site per week. The duration of this role is until December 31, 2026.
Data Governance Analyst in Milton Keynes employer: Sivara GmbH
Join our dynamic team in Milton Keynes as a Data Governance Analyst, where we prioritise employee growth and development within a collaborative work culture. We offer competitive salaries, flexible working arrangements, and the opportunity to engage with cutting-edge data governance tools like Collibra, all while contributing to meaningful projects in the car finance sector. Our commitment to fostering a supportive environment ensures that you will thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Governance Analyst in Milton Keynes
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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 Sivara GmbH.
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We think you need these skills to ace Data Governance Analyst in Milton Keynes
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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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!
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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 Sivara GmbH!
✨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.
