At a Glance
- Tasks: Join our Data Governance team to ensure data accuracy and implement best practices.
- Company: Fast-growing organisation focused on data excellence and collaboration.
- Benefits: Attractive salary, performance rewards, and opportunities for international training.
- Other info: Engaging work environment with continuous personal development opportunities.
- Why this job: Make a real impact on data governance and help shape the future of our organisation.
- Qualifications: BSc/MSc in IT, 2 years' experience in data stewardship, and strong analytical skills.
The predicted salary is between 36000 - 44000 £ per year.
We are looking for a passionate and experienced Data Steward to join our fast-growing team! The successful candidate will join a Data Governance team responsible for collaborating with our main IT stakeholders and the business data consumers to implement standard methodologies related to data cataloguing, data issues process, implementing data quality metrics and governance model plus establishing business rules and data requirements that align with each department’s goal.
The main responsibilities of the position include:
- Be the eyes and ears for data-related matters within an organisation
- Engage with data champions and working groups across the organisation
- Implement standardised data process and guidelines to ensure they are being followed
- Drive consistent data accuracy, serve as an escalation point and resolve data related issues
- Create and maintain business metadata definitions, domain values and business rules
- Support Data Catalogue implementation, development, and enrichment
- Support governed change control of metadata
- Embed data ownership
- Guide and advise the business users, projects, and IT teams on meaning and use of data
- Perform execution of data issue process
- Assist in the development of data domain business rules (algorithms, calculations, processing requirements, etc.)
- Work with the Data Quality Analyst team to define data standards, business rules and embed best practice
Main requirements:
- BSc/MSc in Information Technology or any other related field
- Minimum 2 years’ experience in data stewardship or a similar role
- Excellent stakeholder management and collaboration skills
- Sound knowledge of data governance practices and processes
- Good understanding of data quality processes
- Experience working with business, operational data and technical teams to clearly detail data governance and metadata requirements
- Experience in executing remediation activity to address quality issues, identifying data enhancements or improvements, and defining master / golden sources
- Broad understanding of client journeys in a service- and product-oriented organisation
- Strong analytical skillset
- Ability to inspire users to follow the data governance framework at the company; have a good rapport with the users, and possess business maturity
- Experience in either creating or using a data catalogue
Benefit from:
- Attractive remuneration package plus performance related reward
- Intellectually stimulating work environment
- Continuous personal development and international training opportunities
All applications will be treated with strict confidentiality!
Data Governance Officer in Nicosia employer: XM Careers
Join our dynamic team as a Data Governance Officer, where you will thrive in an intellectually stimulating environment that prioritises continuous personal development and international training opportunities. Our collaborative work culture encourages innovation and empowers employees to take ownership of their roles, ensuring that your contributions directly impact the organisation's data governance success. With an attractive remuneration package and performance-related rewards, we are committed to recognising and nurturing talent within our fast-growing company.
StudySmarter Expert Advice🤫
We think this is how you could land Data Governance Officer in Nicosia
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We think you need these skills to ace Data Governance Officer in Nicosia
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 XM Careers, 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 XM Careers. 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 XM Careers
✨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 XM Careers!
✨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.
