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- Tasks: Manage and analyse data to improve the lives of dogs through impactful research.
- Company: Join a passionate team at Dogs Trust, dedicated to canine welfare.
- Benefits: Competitive salary, home-based work, and opportunities for professional growth.
- Why this job: Make a real difference in dog welfare while developing your data skills.
- Qualifications: MSc or PhD in relevant fields, with strong SQL and programming skills.
- Other info: Collaborative environment with a focus on data literacy and innovation.
The predicted salary is between 37130 - 44556 £ per year.
Application Deadline: 29 January 2026
Department: Research
Employment Type: Permanent - Full Time
Location: Home-based
Compensation: £37,130 per annum
Description
Are you someone who loves making a positive impact on dogs' lives? We are looking for a Data Officer to join our research team on a permanent basis. In this role you will be responsible for managing, analysing and reporting on specified data related tasks and research projects, which fulfil the Research Team's role of ensuring that Dogs Trust's policy, practice and operational activities are based in the best evidence.
The focus project for this role will be the Generation Pup project - a longitudinal study which collects health and behavioural data about a cohort of thousands of publicly owned dogs. Examples of the tasks involved in the role include, but are not limited to:
- Identifying and developing automated pipelines to increase the efficiency of data collection for the project
- Processing text data from pdfs and clinical records (through NLP pipelines)
- Database management - including documentation of processes and maintaining records for the sharing and receipt of data
- Testing and validation of development work
What does this role do?
- Collate, analyse and report data
- Manage specific data tasks and research projects
- Plan, create, and produce scientific outputs for designated projects
- Build collaboration, culture, and data literacy
- Lead development, maintenance, and growth of key external collaborations
- Develop and maintain a thorough understanding of Data Science & Analytics plans and activities, as well as those of the wider Research Department, to identify links between projects as required.
Could this be you?
We are looking for someone who has at least one of the following:
- An MSc in a relevant subject, such as, but not limited to: Data Science, Computer Science, Statistics, with additional relevant experience
- PhD in a relevant subject with some applied experience
- A relevant degree with advanced professional experience and development
And:
- Able to produce clear written reports in accessible language for a range of end users
- Excellent levels of expertise in SQL and using R or Python for data cleaning, mining, analysis, and visualisation
- Expertise in the application of text mining / NLP to extract meaningful information from unstructured text data
Please download a full job description to find out more about responsibilities and experience required for this role.
Data Officer in London employer: Dogs Trust Company Limited
Contact Detail:
Dogs Trust Company Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Officer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend webinars, and join relevant online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, R, or Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining your past projects and how they relate to the role you're applying for. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Officer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Officer role. Highlight your relevant experience in data management and analysis, especially any work related to health or behavioural data. We want to see how your skills align with our mission!
Showcase Your Skills: Don’t forget to mention your expertise in SQL, R, or Python! Include specific examples of how you've used these tools in past projects. We love seeing practical applications of your skills that relate to the tasks you'll be handling here.
Keep It Clear and Concise: When writing your application, aim for clarity. Use accessible language and avoid jargon where possible. Remember, we’re looking for someone who can produce clear written reports, so show us you can do that right from the start!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way to ensure it gets to the right people. Plus, you’ll find all the details you need about the role and our team there!
How to prepare for a job interview at Dogs Trust Company Limited
✨Know Your Data Inside Out
Make sure you’re familiar with the specifics of data management and analysis, especially in relation to the Generation Pup project. Brush up on your SQL skills and be ready to discuss how you've used R or Python in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data collection or analysis. Think about times when you developed automated pipelines or processed unstructured text data, and be ready to explain your thought process.
✨Communicate Clearly
Since you'll need to produce reports for various end users, practice explaining complex data concepts in simple terms. You might even want to prepare a short presentation or summary of a past project to demonstrate your ability to communicate effectively.
✨Demonstrate Collaboration
This role involves working with external collaborations, so think of examples where you’ve successfully worked in a team. Be prepared to discuss how you build relationships and foster a culture of data literacy among colleagues.
