At a Glance
- Tasks: Investigate data quality issues and improve data governance across the organisation.
- Company: Join a leading international business focused on data management excellence.
- Benefits: Attractive salary, hands-on tech exposure, and professional growth opportunities.
- Other info: Collaborative environment with opportunities to work with cutting-edge data technologies.
- Why this job: Make a real impact by enhancing data practices and governance.
- Qualifications: 2-5 years in data roles, SQL proficiency, and strong analytical skills.
The predicted salary is between 44595 - 54505 £ per year.
Data Quality Analyst VANRATH is pleased to be partnering with a leading international business as it continues to develop its data management capabilities.
This is an excellent opportunity for a Data Quality Analyst to join a growing function, helping to improve how business information is understood, recorded and controlled.
The successful candidate will work across the organisation to promote reliable data practices and support the development of a consistent approach to data governance.
Salary / Benefits Attractive salary package, tailored to experience.
Opportunity to contribute to an evolving data strategy.
Hands-on exposure to a range of established and emerging data technologies.
Regular interaction with stakeholders across different business functions.
Scope to develop technical expertise and progress professionally.
About your next employer Our client is an established international organisation placing increasing importance on the quality, accessibility and effective use of its business data.
As part of its continued investment in this area, the organisation is developing its governance processes and strengthening the standards used to manage information.
You will work alongside colleagues across technology and the wider business, helping to bring greater structure, transparency and accountability to the way data is handled.
About you 2-5 years' experience in a data-focused position, such as data governance, data quality, data analysis or business intelligence.
Confident using SQL, with experience of SQL Server and T-SQL particularly beneficial.
Understanding of data profiling techniques and the ability to investigate data quality issues.
Familiarity with metadata management, data catalogues, business glossaries or data lineage.
Exposure to Microsoft data and analytics tools, ideally including Azure Data Factory, Azure Synapse, Power BI or Microsoft Purview.
Able to communicate findings clearly and build effective working relationships with a range of stakeholders.
Strong attention to detail, analytical thinking and an organised approach to delivering work.
It would also be beneficial to have: Experience working with Snowflake or other cloud-based data platforms.
An understanding of data governance principles and frameworks, including DAMA-DMBOK.
Knowledge of data classification, metadata standards and information management practices.
Experience supporting the implementation or improvement of data governance processes.
What you'll do Investigate data held across business systems, identifying potential quality concerns and opportunities to improve consistency.
Work with business representatives to establish which information is most important and ensure it is properly defined and documented.
Maintain key data management resources, including business definitions, metadata records and information about how data moves between systems.
Help establish clear ownership and accountability for important business information.
Use SQL to query datasets, carry out analysis and investigate discrepancies or data quality concerns.
Collaborate with Data Stewards and internal working groups to encourage consistent governance practices.
Assist with the development of data quality measures, reporting and monitoring processes.
Support the evaluation and ongoing use of tools that improve data discovery, documentation and management.
Present findings and practical recommendations to help teams make better use of accurate, well-governed data.
For further information on this job, apply via the link or contact the VANRATH office for a confidential chat today.
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Skills: Data Governance Data Quality Data Analyst Data Governance Analyst Data Quality Analyst TPBN1_NI
Data Quality Analyst in Belfast employer: VANRATH
As a Business Development Manager with our esteemed electrical wholesale client, you will thrive in a dynamic work culture that prioritises employee growth and development. With a competitive salary package, including bonuses and a company car, you will enjoy the flexibility of a field-based role while building meaningful relationships with customers in the Enniskillen area. Join a market leader that values innovation and offers exceptional career advancement opportunities in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Analyst in Belfast
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We think you need these skills to ace Data Quality Analyst in Belfast
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!
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Craft a Tailored Cover Letter:For a full-time role at VANRATH, 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.
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✨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!
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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.
