At a Glance
- Tasks: Lead transformative data strategies to improve healthcare outcomes using AI and analytics.
- Company: Purpose-driven healthcare organisation focused on innovation and impact.
- Benefits: Competitive salary, pension contributions, discounts, and wellness support.
- Other info: Supportive environment with clear career pathways and professional development opportunities.
- Why this job: Shape the future of data in healthcare and make a real difference.
- Qualifications: Proven leadership in data & analytics, especially in healthcare or regulated settings.
The predicted salary is between 64866 - 64866 £ per year.
Contract Type: Full-Time, 35 hours
Salary: starting from £64,866.26
Shape the future of data within a purpose driven healthcare organisation! We’re looking for an ambitious, forward-thinking Head of Data & Analytics to lead a transformative agenda where data, AI and emerging technologies directly improve real-world outcomes. This is a rare opportunity to take full ownership of an enterprise data strategy within a complex, regulated environment leveraging analytics, automation and AI to drive better clinical, operational and commercial decisions.
The Role
As a key member of the senior leadership team, you will define and deliver a modern, scalable data strategy turning data into a true business asset. You’ll oversee reporting, governance, architecture and advanced analytics, ensuring data is trusted, accessible and impactful across the organisation. You will lead the evolution of data platforms and capabilities, championing innovation across AI, automation and emerging technologies future-proofing the organisation’s digital ecosystem.
What You’ll Bring
- Proven leadership experience in data & analytics within healthcare or a regulated/charity setting
- Strong track record delivering insightful reporting and measurable business outcomes
- Deep technical understanding of modern data platforms, architecture and AI
- Experience building scalable, future-ready data capabilities
- Confidence operating at executive level with exceptional stakeholder engagement skills
- Expertise in vendor and partner management to maximise value
- A detail-oriented mindset, balancing strategic vision with operational delivery
Why This Role?
You won’t just be building dashboards, you’ll be shaping strategy, influencing decisions and delivering outcomes that matter. You’ll work at the intersection of data, technology and human impact, helping to create smarter services and better experiences. If you are a confident, forward-facing leader who thrives on turning complex data challenges into real-world solutions and you’re excited by the potential of AI, automation and innovation, this is your opportunity to lead meaningful change.
Why Join Us?
We offer a supportive, values-driven environment where your contribution is recognised and rewarded:
- Financial & Rewards: Aviva pension (up to 5% employer contribution), Blue Light Card discounts (4,000+ perks), Cycle to Work scheme, season ticket loan, and long-service recognition rewards.
- Wellbeing & Work–Life Balance: Opportunity to buy and sell annual leave, 24/7 GP access and EAP via Westfield Health, an extra day off for your birthday, accredited Mental Health First Aiders, family-friendly policies and a national employee recognition programme.
- Learning & Career Development: Clear career pathways, paid training and development, accredited apprenticeships, and learning agreements to support your professional growth.
Head of Data and Analytics in Stoke Gifford employer: MSI REPRODUCTIVE CHOICES
Join a purpose-driven healthcare organisation that prioritises innovation and employee well-being. As the Head of Data and Analytics, you will thrive in a supportive environment that values your contributions, offering competitive financial rewards, comprehensive wellbeing initiatives, and robust career development opportunities. This role not only allows you to shape impactful data strategies but also ensures you are part of a team dedicated to making a real difference in people's lives.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data and Analytics in Stoke Gifford
✨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 MSI REPRODUCTIVE CHOICES!
✨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 Head of Data and Analytics at MSI REPRODUCTIVE CHOICES.
✨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 MSI REPRODUCTIVE CHOICES.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Data and Analytics at MSI REPRODUCTIVE CHOICES, 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 Head of Data and Analytics in Stoke Gifford
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 MSI REPRODUCTIVE CHOICES, 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 MSI REPRODUCTIVE CHOICES. 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 MSI REPRODUCTIVE CHOICES
✨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 MSI REPRODUCTIVE CHOICES!
✨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.
