At a Glance
- Tasks: Transform complex data into actionable insights and create engaging dashboards.
- Company: Join a global healthcare knowledge provider with a mission to improve health worldwide.
- Benefits: Flexible working, generous pension contributions, and discounts on gym memberships.
- Other info: Be part of a diverse team with excellent career development opportunities.
- Why this job: Make a real impact in healthcare by turning data into meaningful insights.
- Qualifications: Experience in data analysis, stakeholder management, and tools like Tableau.
The predicted salary is between 36900 - 45100 £ per year.
Application Closing Date
- 20th November 2026
- Job Purpose
The Journals Data Analyst will play a key role in helping the business make evidence-based decisions by transforming complex data into actionable insights.
With an enthusiasm for data and analysis, you will visualise and communicate data in a way that engages (and sparks curiosity in) a wide range of colleagues.
You will liaise with stakeholders to understand their requirements and the ways in which data can answer valuable business questions.
As part of a small team, you will be equally confident both managing your own work and engaging in collaborative opportunities.
The Insights team (3 people) sits within the wider Publishing & Events (P&E) team, opening up a variety of diverse projects.
The Insights team is also a crucial link between P&E and the Data team, and you will work closely with colleagues in Data to develop robust solutions to data challenges, improve existing data sources, and validate new data.
Responsibilities
- Transform complex data into actionable insights for colleagues across the Publishing & Events team
- Perform market / competitor analysis; highlight and interpret journal/ portfolio trends; model the impacts of new policies and approaches; and investigate data quality issues, among other work
- Develop actionable, repeatable dashboards that highlight business trends and improve team workflows
- Communicate clearly and effectively about data and insights to the wider Publishing & Events team
- Continually and proactively look for opportunities to improve data, reporting, and processes
- Maintain reporting, process, and investigation documentation; triage work requests; assist with sprint prioritisation and communication; and similar Insights team support tasks
- Collaborate with system owners and subject matter experts to investigate and resolve problems
Skills, Experience & Qualifications
- Expertise in analysing complex data to deliver actionable insights and recommendations
- Experience of problem-solving and finding creative solutions to roadblocks
- Ability to prioritise work and to manage competing deadlines
- Proven communication skills, with the ability to communicate clearly and effectively with both technical and non-technical colleagues
- Experience of stakeholder management
- Experience of working with Tableau
- Strong attention-to-detail
- Experience of business intelligence systems
- Familiarity with the academic journal publishing market
- Familiarity with publishing systems, metadata, and data flow between systems, for example, Scholar One, production systems, Crossref, and external indexers
- Knowledge of SQL, Python, or similar
Applicants must be based in the UK and have the appropriate right to work in the UK. Visa sponsorship is not available for this role.
Why work for us
Help us create a healthier world.
We are a global healthcare knowledge provider.
We publish The BMJ, one of the world’s most impactful medical journals and over 70 influential speciality journals.
We offer digital tools to help health professionals worldwide tackle critical healthcare challenges.
Find out more about us here.
- Flexible Work and Workplace Perks
- We’re committed to flexible working that supports both your needs and the requirements of the role.
- Generous double-matching employer pension contribution, up to 12%
- Discounted dental and travel insurance
- Seven x salary life assurance cover and a generous income protection package
- Discounted gym membership, cycle-to-work and season ticket loan
- Discounts for retail and leisure products through your Reward
- Work-life balance and wellbeing
- Twenty-five days holiday + bank holidays + a BMJ Day off.
- Additional holiday through long service; buy up to 5 additional days
- Leave for moving house, volunteering or getting married
- Concierge service Seniorcare by Lottie
- Equity, Diversity and Inclusion
- Equity, Diversity and Inclusion are not buzzwords to us, but fundamental company priorities
- We believe that a diverse workforce brings unique strengths and insights, enabling us to better serve our customers and drive positive change in our industry.
- If you are from an under-represented or historically marginalised community, we are particularly interested in hearing from you.
- Join our employee-led networks focusing on Gender, Race and Cultural Diversity, Sexual Orientation, Mental Health and Well-being, Parents and Carers and Age.
- Disability Confident Committed employer
- Learning & Development
- Career Coaching
- Opportunities to pursue professional development
Journals Data Analyst in London employer: BMJ
BMJ is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about data and analytics. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to influence key business decisions in a dynamic environment. Located in London, our hybrid work model ensures a healthy work-life balance while you contribute to meaningful projects that drive impactful insights.
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We think this is how you could land Journals Data Analyst in London
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We think you need these skills to ace Journals Data Analyst 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!
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✨Brush Up on Your Statistics
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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
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✨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.
