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For Companies At a Glance
- Tasks: Analyse healthcare data and improve business processes with innovative solutions.
- Company: Join Expleo, a forward-thinking company in the tech and healthcare space.
- Benefits: Collaborative environment, skill development, competitive benefits, and inclusive culture.
- Why this job: Make a real impact in healthcare by bridging business and technology.
- Qualifications: Experience in data analysis, healthcare systems, and strong communication skills.
- Other info: Opportunities for growth and learning through ExpleoAcademy.
The predicted salary is between 28800 - 48000 £ per year.
Business Analyst – Healthcare, Data & AI
Join Expleo’s dynamic Business Analyst team and be the bridge between business and technology. We’re looking for a highly skilled Business Data Analyst with expertise in Healthcare, Data, AI, and Financial Services. You’ll play a key role in analysing complex business processes, identifying opportunities for improvement, and delivering data-driven solutions that make a real impact.
Responsibilities
- Analyse and document business processes to identify gaps and opportunities.
- Collaborate with cross‑functional stakeholders to gather and define business and technical requirements.
- Develop and maintain detailed documentation including business requirements, process flows, and data models.
- Translate business needs into technical solutions by working closely with data scientists, architects, engineers, and domain specialists.
- Conduct data analysis to support strategic planning and decision‑making.
- Ensure compliance with healthcare regulations, data privacy standards, and insurance industry frameworks.
- Implement and manage data governance frameworks and processes.
Essential Skills
- Strong understanding of healthcare systems, data analysis, AI technologies, and insurance processes.
- Proficiency in data analysis tools and languages (e.g., SQL, Python, R).
Desired Skills
- Excellent analytical and problem‑solving capabilities.
- Strong communication and interpersonal skills.
- Effective stakeholder management and ability to balance competing priorities.
- Collaborative mindset and ability to work in agile, cross‑functional teams.
Experience
- Experience with data governance and regulatory compliance.
Benefits
- Collaborative working environment – we stand shoulder to shoulder with our clients and peers through good times and challenges.
- We empower all passionate technology‑loving professionals by allowing them to expand their skills and take part in inspiring projects.
- ExpleoAcademy – enables you to acquire and develop the right skills by delivering a suite of accredited training courses.
- Competitive company benefits.
- Always working as one team, our people are not afraid to think big and challenge the status quo.
- As a Disability Confident Committed Employer we have committed to:
- Ensure our recruitment process is inclusive and accessible.
- Communicating and promoting vacancies.
- Offering an interview to disabled people who meet the minimum criteria for the job.
- Anticipating and providing reasonable adjustments as required.
- Supporting any existing employee who acquires a disability or long‑term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people.
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.
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Business Analyst – Healthcare, Data & AI employer: Expleo Group
Contact Detail:
Expleo Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst – Healthcare, Data & AI
✨Tip Number 1
Network like a pro! Reach out to people in the healthcare and data sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews! Research common questions for Business Analysts in healthcare and practice your answers. Use the STAR method (Situation, Task, Action, Result) to structure your responses and showcase your problem-solving skills.
✨Tip Number 3
Show off your skills! Create a portfolio that highlights your data analysis projects, especially those related to healthcare and AI. This can be a game-changer during interviews, as it gives tangible proof of what you can do.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact. Plus, applying directly can sometimes give you a leg up in the hiring process.
We think you need these skills to ace Business Analyst – Healthcare, Data & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Business Analyst in Healthcare, Data & AI. Highlight your relevant experience and skills, especially in data analysis tools like SQL or Python, and don’t forget to mention any healthcare systems knowledge you have!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Be sure to mention your collaborative mindset and problem-solving skills, as these are key for us at Expleo.
Showcase Your Analytical Skills: In your application, provide examples of how you've analysed complex business processes in the past. We want to see how you’ve identified gaps and opportunities, so don’t hold back on sharing those success stories!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Expleo Group
✨Know Your Healthcare Stuff
Make sure you brush up on your knowledge of healthcare systems and regulations. Understanding the nuances of data privacy standards and insurance processes will show that you're not just a data whiz but also someone who gets the industry.
✨Show Off Your Data Skills
Be ready to discuss your proficiency in data analysis tools like SQL, Python, or R. Prepare examples of how you've used these tools to solve real-world problems, especially in healthcare or financial services.
✨Communicate Like a Pro
Since you'll be collaborating with various stakeholders, practice articulating complex ideas clearly and concisely. Think about how you can explain technical concepts to non-technical team members without losing them in jargon.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse a business process or identify gaps. Prepare by thinking through past experiences where you’ve successfully implemented data-driven solutions and be ready to share those stories.
