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For Companies At a Glance
- Tasks: Analyse complex datasets and translate data into actionable insights for healthcare programmes.
- Company: Join a dynamic healthcare company at Canary Wharf, London.
- Benefits: Competitive pay, equity options, performance bonuses, and a learning budget.
- Other info: Enjoy a vibrant office culture with monthly socials and freshly baked cookies!
- Why this job: Make a real impact on healthcare decisions and work with industry leaders.
- Qualifications: Degree in a quantitative field, strong Excel skills, and experience with Python or SQL.
The predicted salary is between 30000 - 40000 £ per year.
Location: Canary Wharf, London, office based
Working Pattern: Part time 20 hours per week or full time, includes weekends and weekdays
The Opportunity
We are looking for a high calibre Data Analyst to support our growing portfolio of healthcare and life sciences programmes. This role sits at the core of how we generate insight, drive decisions and deliver value to partners. You will work across complex datasets, translating data into actionable insight and supporting both operational delivery and strategic decision making.
Key Responsibilities
- Analyse and interpret datasets across healthcare and life sciences programmes
- Build and maintain structured datasets to support reporting and analysis
- Develop dashboards, models and outputs to support internal and external stakeholders
- Work closely with operational and clinical teams to understand data requirements
- Translate data into clear, structured outputs and insights
- Support reporting across programmes including performance and outcomes tracking
- Ensure data quality, consistency and integrity across all outputs
- Support weekend and weekday operations where required
What We Are Looking For
- A degree in a quantitative or analytical field
- Strong Excel skills, this is essential
- Experience with Python and or SQL
- Ability to work with large and complex datasets
- Strong analytical thinking and problem solving skills
- Ability to translate data into clear and actionable insight
- High attention to detail and accuracy
- Ability to work independently and as part of a team
Working Style
- Canary Wharf, London based role, fully office based
- This role requires in person collaboration with operational and data teams
- Remote or home working is not available for this position
- Part time or full time with weekend and weekday coverage
Fast paced, high expectation environment
Early Builder Package – Sanius Health
- Equity: Early stage stock options (£7,000 indicative allocation for full time roles, prorated for part time based on agreed working hours and contract terms) with progression as you grow
- Performance Bonus: Up to £5,000 based on impact and company performance, subject to company policy and eligibility and prorated where applicable
- Clear salary and equity progression framework
- Speed and Career Growth
- Promotion reviews every 6 to 9 months
- Opportunity to lead projects within your first 3 to 6 months
- Direct exposure to leadership and board level decision making
Flexibility and Time
- Structured office based working model
- Two week company wide closure over Christmas
- One week company wide closure in summer
Learning and Development
- Annual learning budget (£500 to £2,000 depending on role)
- Sponsored certifications across AI, data and healthcare
- Conference access including ISPOR, Rewired, BSH and others
Tools and Environment
- MacBook and full tech setup provided
Culture and Office Experience
- Prime Canary Wharf office location
- Unlimited drinks in the office
- Freshly baked cookies every day at 3pm
- Monthly team socials
- First Wednesday team breakfast
Impact and Mission
- Work on real world healthcare problems impacting millions of patients
- Build outputs used across hospitals and national programmes
- Direct exposure to NHS, pharma and global systems
What Makes This Different
- You will see your work used in real decisions, not internal drafts
- You will work directly with leadership, clinicians and stakeholders
- You will help shape how a global healthcare company operates and delivers
Closing Date
Applications close on Friday, 30 April 2026
Important Information
The details set out in this advertisement, including compensation, benefits, incentives and working arrangements, are provided for general guidance only and do not form part of any contractual offer or entitlement. All elements of compensation, including salary, bonus, equity participation and benefits, are subject to individual agreement, eligibility, company policy and may be amended or withdrawn at the company’s discretion. Working arrangements, progression opportunities and development timelines are indicative and will depend on role requirements, individual performance and business needs.
Data Analyst (Part Time 20 Hours) employer: Sanius Health
Contact Detail:
Sanius Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Part Time 20 Hours)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Brush up on your Excel, Python, and SQL skills, and be ready to showcase how you've turned complex datasets into actionable insights in past roles.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests. Check out our website for openings that excite you, and tailor your approach to show why you're a perfect fit for their team.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Use this opportunity to reiterate your enthusiasm for the role and how you can contribute to their mission.
We think you need these skills to ace Data Analyst (Part Time 20 Hours)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Excel, Python, and SQL, and showcase any relevant projects or coursework that demonstrate your analytical skills.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about data analysis in healthcare. Share specific examples of how you've translated complex datasets into actionable insights and how you can contribute to our mission.
Showcase Your Attention to Detail: In your application, emphasise your attention to detail and accuracy. Mention any experiences where you ensured data quality and integrity, as this is crucial for the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Sanius Health
✨Know Your Data
Before the interview, brush up on your knowledge of data analysis, especially in healthcare and life sciences. Familiarise yourself with common datasets and how they can be interpreted to drive decisions. This will help you demonstrate your analytical thinking and problem-solving skills.
✨Excel and Beyond
Since strong Excel skills are essential for this role, make sure you're comfortable with advanced functions and data manipulation techniques. Additionally, if you have experience with Python or SQL, be ready to discuss specific projects where you've used these tools to analyse complex datasets.
✨Showcase Your Outputs
Prepare to talk about any dashboards, models, or reports you've created in the past. Bring examples that highlight your ability to translate data into clear, actionable insights. This will show your potential employer that you can deliver value to their partners right from the start.
✨Cultural Fit Matters
This role is all about collaboration, so be ready to discuss how you work within a team and communicate with stakeholders. Share experiences where you've successfully collaborated with operational or clinical teams to meet data requirements, as this will demonstrate your fit for their fast-paced environment.