At a Glance
- Tasks: Investigate data quality issues and support data governance initiatives.
- Company: Leading UK charitable organisation with a focus on data excellence.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Collaborative environment with strategic influence and career advancement opportunities.
- Why this job: Make a real impact by improving data quality and governance in a meaningful organisation.
- Qualifications: 2-3 years in data quality or governance, strong SQL and Excel skills.
The predicted salary is between 50000 - 50000 £ per year.
One of the UK's leading charitable organisations has recently refreshed its data governance framework and is now looking for a Data Quality Analyst to join its growing Data Governance & Assurance team. This is a high-visibility role with real strategic impact — you’ll help embed best-practice data governance, raise data quality standards, and support the delivery of a single version of the truth across the business.
What you'll be doing:
- Investigate data quality issues using SQL, Excel and other analytical tools, and identify root causes.
- Support the development and maintenance of the Business Glossary and Critical Data Elements.
- Work closely with Data Owners, Data Stewards and business stakeholders to create and deliver targeted data improvement plans.
- Define data quality metrics, build reports and scorecards, and communicate insights to senior leaders.
- Maintain documentation of end-to-end data flows and information assets.
- Support regulatory reporting processes and ensure accuracy and completeness.
- Play an active role in the Data Governance Forum and working groups.
What you’ll bring:
- Proven experience in a data quality or data governance role - at least 2/3 years.
- Strong stakeholder management and influencing skills – confident in leading conversations at all levels.
- Solid SQL and advanced Excel ability.
- Understanding of data quality frameworks (DAMA knowledge is a plus).
- A strategic mindset with genuine passion for improving data governance and quality.
If you’re a data governance professional who enjoys working collaboratively with the business to turn data into a trusted strategic asset, this could be a fantastic next move. Click apply now to find out more.
Data Quality Analyst in London employer: Aluco Talent
Join one of the UK's leading charitable organisations as a Data Quality Analyst and be part of a mission-driven team that values collaboration and innovation. With a hybrid working model, competitive salary, and a commitment to employee development, you'll have the opportunity to make a significant impact on data governance while enjoying a supportive work culture that prioritises growth and well-being. This role not only offers strategic visibility but also the chance to contribute to meaningful change within the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Analyst in London
✨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 Aluco Talent!
✨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 Aluco Talent.
✨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 Aluco Talent.
✨Apply Directly through Our Website
When you find a suitable opening like Data Quality Analyst at Aluco Talent, 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 London
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 Aluco Talent, 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 Aluco Talent. 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 Aluco Talent
✨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 Aluco Talent!
✨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.
