At a Glance
- Tasks: Drive data quality improvements and collaborate with teams to enhance critical datasets.
- Company: Join a purpose-led Housing Association with a growing data team.
- Benefits: Competitive salary of £49,000, supportive environment, and career development opportunities.
- Other info: Flexible working with two days a week in the office near Liverpool.
- Why this job: Shape the future of data quality in a meaningful role with real impact.
- Qualifications: Experience in data quality roles, especially in housing or property sectors.
The predicted salary is between 49000 - 49000 £ per year.
Are you a Data Quality Analyst wanting to lay the foundations for what great data looks like in a brand-new role to a Housing Association? This Data Quality Analyst role is newly created and will help drive how data quality is approached across the business. You'll join a growing and ambitious data team that is investing heavily in people, technology and capability, including a move to Microsoft Fabric.
You'll initially focus on one of this Housing Association’s most critical domains, Asset data, helping to improve the quality, integrity and usability of information that underpins key operational and regulatory processes. This isn't a role where you'll inherit a mature framework and simply maintain it. You'll actually be joining at a point where there is genuine opportunity to influence, shape and improve how data quality is approached.
If you're someone who enjoys solving problems, working collaboratively with stakeholders and turning ambiguity into action, this could be a fantastic opportunity for you!
What you’ll be doing
- You'll work alongside Data Owners, Data Stewards and colleagues across the business to understand where data quality issues exist, why they exist and what needs to happen to improve them.
- Identify and investigate data quality issues, anomalies and gaps across critical datasets.
- Help build and deliver data improvement plans.
- Work closely with business teams to prioritise improvements and agree target goals.
- Support colleagues who are new to data ownership and stewardship practices.
- Drive incremental improvements to critical data.
- Help prepare the organisation for upcoming audit and assurance activity.
- Ensure improvements are sustainable by embedding governance and ongoing monitoring.
This is a role for someone who enjoys operating in an environment that isn’t fully defined. You’ll need to be comfortable creating structure, bringing people with you and turning ideas into action.
About you
You’ll probably already be working in a Data Quality Analyst role, or something similar, and be looking for an opportunity where you can have more influence. You’ll be an excellent candidate if you have the following experience:
- Worked in a Housing Association or Local Authority.
- Delivering data quality improvements.
- Can operate comfortably in ambiguity and help create structure.
- Has worked with stakeholders who are early in their data maturity journey.
- Takes a pragmatic approach and understands that improving data is as much about people and process as it is technology.
- Experience within social housing is ideal, particularly around asset or property data, but if you have transferable experience around property data in other sectors then you’d still be a great fit.
Why apply?
As Data Quality Analyst, you’ll genuinely shape a data capability for this purpose led organisation. You'll join a small, supportive and growing team where your contribution will be visible from day one. You'll have the opportunity to influence how data quality is embedded across the organisation while developing your own career as the function continues to grow.
The salary on offer is £49,000 and this role is based near Liverpool with likely two days a week in the office.
Please apply to this advert, reach out to me on LinkedIn, or contact me at james@recruitwithpurpose.co.uk to learn more. If you don’t have an updated CV, no problem, send what you have, and we’ll take it from there.
Data Quality Analyst in Liverpool employer: Recruit with Purpose
Join a forward-thinking Housing Association as a Data Quality Analyst, where you'll play a pivotal role in shaping data quality practices from the ground up. With a strong commitment to employee development and a collaborative work culture, you'll have the chance to make a tangible impact while working alongside a dedicated team in a supportive environment. Located near Liverpool, this position offers a competitive salary and the opportunity to influence key operational processes in a purpose-led organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Analyst in Liverpool
✨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 Recruit with Purpose!
✨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 Recruit with Purpose.
✨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 Recruit with Purpose.
✨Apply Directly through Our Website
When you find a suitable opening like Data Quality Analyst at Recruit with Purpose, 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 Liverpool
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 Recruit with Purpose, 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 Recruit with Purpose. 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 Recruit with Purpose
✨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 Recruit with Purpose!
✨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.
