At a Glance
- Tasks: Manage and develop data infrastructure to improve quality and accessibility.
- Company: Affinity Trust, a values-led organisation supporting people with learning disabilities.
- Benefits: Competitive salary, hybrid work, and a chance to make a real impact.
- Other info: Join a collaborative team dedicated to making a difference in people's lives.
- Why this job: Use your data skills to enhance decision-making and support meaningful outcomes.
- Qualifications: Experience in data infrastructure, SQL, and strong problem-solving skills.
The predicted salary is between 50000 - 50000 £ per year.
Location: Hybrid, with a minimum of two days per week in Thame, Oxfordshire or Leicester
Travel: You will need to be able to travel between offices and attend key meetings when required
Contract: Permanent, full time (37.5 hours per week)
Salary: £50,000 per annum
Reports to: Head of IT
Help us make data more reliable, useful and accessible across Affinity Trust. We have invested in a new central datastore. Now we are looking for a Data Manager to help us make the most of it. This is a hands-on technical role where you’ll improve data quality, strengthen governance and help colleagues access trusted insight to make better decisions. Your work will support better reporting, stronger performance insight and improved outcomes for the people we support.
Responsibilities
- Manage and develop Affinity Trust’s central datastore and wider data infrastructure.
- Improve data quality, reliability, access and security.
- Support the development of our data strategy and governance approach.
- Translate reporting and business needs into clear technical solutions.
- Oversee data flows, APIs, integrations and supplier delivery.
- Help colleagues understand and use data with confidence.
About you
- Strong experience in data infrastructure, data pipelines or enterprise data environments.
- Good working knowledge of SQL, Microsoft Azure and data warehousing.
- Experience with APIs, systems integration and secure data flows.
- Understanding of data governance, quality standards, GDPR and information security.
- Ability to turn business requirements into practical technical solutions.
- Clear communication skills, including explaining technical concepts to non-technical colleagues.
- Strong problem-solving skills, accuracy and attention to detail.
- Ability to manage multiple priorities, projects and deadlines.
- A relevant qualification in data analytics, computer science, statistics or data engineering, or equivalent practical experience.
- A values-led approach, with a commitment to listening, learning, collaboration and trying new things.
Why join Affinity Trust?
At Affinity Trust, people are at the heart of everything we do. We support people with learning disabilities, autistic people and people with other support needs to live the lives they choose. In this role, your data expertise will help us improve insight, strengthen decision-making and build the data capability we need for the future.
Interested?
If you want a Data Manager role where your technical skills can make a meaningful difference, we’d love to hear from you. We welcome different backgrounds and experiences, and we’re happy to discuss adjustments during the recruitment process.
If you are successful, your offer may be subject to a DBS check at the relevant level for the role. Affinity Trust will cover the cost of this check.
Data Manager in Thame employer: Affinity Trust
Affinity Trust is an exceptional employer that prioritises people and values collaboration, making it a rewarding place to work. With a hybrid working model based in Thame or Leicester, employees benefit from a supportive culture that encourages professional growth and the opportunity to make a meaningful impact on the lives of those we support. Join us to leverage your data expertise in a role that not only enhances your skills but also contributes to a greater purpose.
StudySmarter Expert Advice🤫
We think this is how you could land Data Manager in Thame
✨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 Affinity Trust!
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We think you need these skills to ace Data Manager in Thame
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 Affinity Trust, 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 Affinity Trust. 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 Affinity Trust
✨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 Affinity Trust!
✨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.
