At a Glance
- Tasks: Lead a dynamic team to drive data strategy and improve healthcare outcomes.
- Company: Join MANUAL, a pioneering preventive healthcare platform transforming wellbeing.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on innovation and collaboration.
- Why this job: Make a real impact in healthcare by leveraging data-driven insights.
- Qualifications: 10+ years in analytics, strong SQL skills, and proven leadership experience.
The predicted salary is between 80000 - 100000 £ per year.
MANUAL is a leading preventive healthcare platform, transforming how people manage weight, hormones, and long-term wellbeing. We’re now looking for a Director of Data & Analytics to lead a high-performing team of 10+, elevate the use of data across the company, and embed data-driven thinking into every function. You’ll partner with stakeholders across Product, Growth, Clinical, Operations and more, helping drive smarter decisions through better data. This is a strategic leadership role requiring someone hands-on, technically sharp, and commercially aware of the details while guiding the broader vision.
What You'll Do
- Lead and grow the team: Manage and mentor a team of analysts, scientists and engineers. Set goals, coach individual growth, and create a collaborative, high-performance culture.
- Define and drive data strategy: Build the data roadmap across infrastructure, analytics and adoption. Champion self-serve data access and drive data literacy across the business.
- Enable cross-functional impact: Work closely with leadership and teams across Product, Marketing, Operations, Growth, and Clinical to embed data into their strategy and execution.
- Uphold technical excellence: Develop frameworks for experimentation, cohort analysis, forecasting, and performance measurement. Instil best practices in analytics and metrics tracking.
- Improve infrastructure: Oversee key tools (BigQuery, dbt, Looker), ensure data pipelines and models are reliable, and work with Engineering to strengthen data quality and governance.
- Remain hands-on when needed and excel at problem solving: Be comfortable rolling up your sleeves, writing SQL, exploring a dataset, or validating an analysis. Lead by example in solving problems.
What We're Looking For
- 10+ years in analytics or data science, including 5+ years of people management
- Strong technical background including advanced SQL and a degree in a quantitative subject
- Proven experience with modern data tools: BigQuery, dbt, Looker or similar
- Excellent communicator and stakeholder manager — able to partner with the C-suite and influence strategy
- Experience in fast-paced, high-growth environments
- Strategic thinker with the ability to translate data into business action
- Passion for improving healthcare outcomes through technology and insight
Director of Data & Analytics in London employer: Voy
At Voy, we pride ourselves on being an excellent employer that values innovation and community impact. Our dynamic work culture fosters collaboration and professional growth, offering employees opportunities to enhance their skills while making a meaningful difference in public health. With a hybrid working model and regular engagement in vibrant areas like Manchester and Sheffield, we provide a unique environment where you can thrive both personally and professionally.
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We think this is how you could land Director of Data & Analytics in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Director of Data & Analytics in London
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 Voy, 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 Voy. 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 Voy
✨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 Voy!
✨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.
