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- Tasks: Transform complex data into actionable insights and ensure data quality.
- Company: RTN Mental Health Solutions focuses on improving mental health services through data-driven decisions.
- Benefits: Enjoy flexible remote work, a company pension, private medical insurance, and employee discounts.
- Why this job: Make a real impact in mental health while working in a supportive, values-led culture.
- Qualifications: Degree in Data Science or related field, with proven experience in healthcare data analysis.
- Other info: Join a team dedicated to ethical practice and compassionate care.
The predicted salary is between 32000 - 48000 £ per year.
Data Analyst
- Location: Remote
- Salary: Circa £40,000 (Full-Time, Permanent)
- Start Date: ASAP
Are you passionate about transforming complex data into clear, actionable insights? Do you thrive on ensuring data quality and using analytics to drive service improvement? At RTN Mental Health Solutions, we are looking for a skilled Data Analyst to lead on data management, reporting, and analytics across our growing organisation. This is a permanent, full-time role for someone with proven experience in healthcare data analysis, strong technical skills, and a commitment to improving outcomes in mental health services.
Why Join Us?
- Make an Impact – Shape the way data is used to inform high-quality, ethical, and safe mental health services.
- Drive Innovation – Lead on data reporting processes, ensuring accuracy, compliance, and efficiency across the organisation.
- Support Neurodiverse Clients – Contribute to the delivery of high-quality autism and ADHD services.
- Remote & Flexible – Enjoy the benefits of working remotely, with flexibility built into your schedule.
- Collaborative Culture – Be part of a values-led organisation that prioritises compassion, professionalism, and integrity.
Job Role & Responsibilities
Data Management & Quality
- Lead on data collection, cleaning, and validation to ensure accuracy and consistency.
- Manage large datasets in line with governance, GDPR, and NHS standards.
- Identify and resolve data quality issues promptly.
Reporting & Analytics
- Design, build, and maintain dashboards and automated reports.
- Produce timely and accurate submissions to the NHS Mental Health Services Data Set (MHSDS).
- Analyse data to highlight trends, patterns, and areas for service improvement.
- Translate complex datasets into clear insights for senior leaders, clinicians, and operational teams.
Business Intelligence & Tools
- Use Google Looker Studio, SQL, and other modern analytics tools for reporting and integration.
- Optimise reporting workflows and data pipelines.
- Integrate multiple data sources into user-friendly reporting formats.
Collaboration & Stakeholder Support
- Work closely with clinical, operational, and leadership teams to understand data needs.
- Train colleagues to interpret reports and dashboards effectively.
- Promote a data-driven culture within the organisation.
Compliance & Governance
- Ensure compliance with GDPR, NHS Data Security & Protection Toolkit, and other regulations.
- Maintain clear documentation of processes, methodologies, and reporting frameworks.
Who We’re Looking For
Essential:
- Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, OR equivalent professional experience.
- Proven experience as a Data Analyst (ideally in healthcare).
- Advanced SQL skills and experience with Google Looker Studio.
- Strong background in data cleaning, validation, and large dataset management.
- Experience producing NHS submissions (e.g. MHSDS).
- Ability to present data clearly to both technical and non-technical audiences.
- Excellent analytical, problem-solving, and organisational skills.
- A proactive, collaborative approach with high attention to detail.
Desirable:
- Experience working directly with NHS datasets.
- Knowledge of mental health service data and performance metrics.
- Skills in statistical analysis, data modelling, or APIs/system integrations.
- Professional certification in data analytics or Looker Studio.
Benefits
- Flexible remote working
- Company pension
- Private medical insurance
- Employee discounts
- Training and development opportunities
- Supportive team culture
Schedule: Monday to Friday (9am – 5pm)
Ready to Make a Difference?
Join a team dedicated to high standards, ethical practice, and compassionate care. Apply now by submitting your CV.
Data Analyst employer: RTN Diagnostics
Contact Detail:
RTN Diagnostics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Google Looker Studio and SQL. Having hands-on experience or even completing a relevant online course can give you an edge during interviews.
✨Tip Number 2
Understand the key metrics and data standards used in mental health services, particularly those related to NHS submissions like MHSDS. This knowledge will help you demonstrate your expertise and commitment to improving outcomes in mental health.
✨Tip Number 3
Prepare to discuss your previous experiences with data cleaning and validation, especially in a healthcare context. Be ready to share specific examples of how you've resolved data quality issues and improved reporting processes.
✨Tip Number 4
Showcase your ability to communicate complex data insights clearly to both technical and non-technical audiences. Practising how to present your findings effectively can set you apart from other candidates.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in healthcare. Emphasise your skills in SQL and Google Looker Studio, as well as any experience with NHS datasets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for transforming data into actionable insights. Mention specific examples of how you've improved data quality or driven service improvements in previous roles.
Highlight Technical Skills: Clearly outline your technical skills in your application. Include your proficiency in SQL, data cleaning, validation, and any experience with business intelligence tools like Google Looker Studio.
Showcase Collaboration Experience: Demonstrate your ability to work collaboratively with clinical and operational teams. Provide examples of how you've trained colleagues or promoted a data-driven culture in your previous positions.
How to prepare for a job interview at RTN Diagnostics
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Google Looker Studio in detail. Bring examples of how you've used these tools to manage large datasets or create reports, as this will demonstrate your technical proficiency.
✨Understand the Healthcare Context
Familiarise yourself with NHS data submissions and mental health service metrics. Showing that you understand the specific challenges and requirements of healthcare data analysis will set you apart from other candidates.
✨Prepare for Data Quality Questions
Expect questions about data cleaning and validation processes. Be ready to explain how you've identified and resolved data quality issues in the past, as this is crucial for the role.
✨Communicate Clearly
Practice translating complex data insights into simple terms. You may need to explain your findings to non-technical stakeholders, so demonstrating your ability to communicate effectively is key.