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- Tasks: Partner with clinical teams to create impactful data analytics solutions for healthcare.
- Company: Join a leading healthcare organisation focused on innovation and data-driven decisions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on continuous improvement and collaboration.
- Why this job: Make a difference in healthcare by turning data into actionable insights.
- Qualifications: Degree in relevant field and 3-4 years of data analytics experience required.
The predicted salary is between 40000 - 50000 £ per year.
What you'll be doing:
- Partner with clinical departments to identify, design, and implement data analytics solutions that support operational and strategic decision-making.
- Lead development of data models, dashboards, and reporting frameworks to generate actionable healthcare insights.
- Oversee charge code creation by applying service and billing rules to ensure accuracy, compliance, and cost-effectiveness.
- Analyse impact of service changes, revisions, workload trends, and performance indicators to guide business decisions.
- Manage preparation of timely financial and operational reports, including service-level cost and revenue analysis.
- Develop and drive data analytics strategy, including data extraction, transformation (ETL), and integration with visualisation and AI tools.
- Establish automated reporting templates and dashboards for recurring performance tracking across departments.
- Monitor key metrics and evaluate outcomes of initiatives to drive continuous improvement and operational efficiency.
- Lead process automation efforts to enhance accuracy and efficiency in reporting and analytics workflows.
- Collaborate with cross-functional stakeholders to align data insights with organisational goals and healthcare priorities.
What we're looking for:
- Bachelor's Degree in Accounting & Finance/ Business/ Data Science/ Statistics/ Computer Science/ Economics or related studies.
- 3 – 4 years of working experience in data analytics, business intelligence, healthcare analytics, preferably in a Healthcare setting.
- Strong proficiency in SQL, Python, Advanced Excel, and data visualisation tools.
- Experience applying data modelling, data mining, and business logic to large and complex datasets.
- Good understanding of forecasting, predictive modelling, and performance analytics techniques.
- Ability to translate data into clear insights, dashboards, and actionable business recommendations.
- Strong analytical, problem-solving, and critical thinking skills.
- Experience working with stakeholders across clinical, operational, or business teams.
- Self-driven, detail-oriented, and able to work independently in a fast-paced environment.
Data Analyst, Healthcare Analytics in Penarth employer: JOBSTUDIO PTE. LTD.
Contact Detail:
JOBSTUDIO PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, Healthcare Analytics in Penarth
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare analytics field on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, dashboards, and any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. We recommend doing mock interviews with friends or using online platforms to practice common data analyst questions. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst, Healthcare Analytics in Penarth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in data analytics, especially in healthcare settings, and showcase your skills in SQL, Python, and data visualisation tools. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about healthcare analytics and how your background aligns with our needs. Be sure to mention specific projects or achievements that demonstrate your analytical prowess.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Include examples of how you've developed dashboards, managed reports, or improved processes in previous roles. We love seeing real-world applications of your expertise.
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’re considered for the role. Plus, it’s super easy—just follow the prompts and submit your materials!
How to prepare for a job interview at JOBSTUDIO PTE. LTD.
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and Excel skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in a healthcare context. This will show that you can hit the ground running!
✨Understand Healthcare Analytics
Familiarise yourself with key concepts in healthcare analytics, such as charge code creation and performance indicators. Being able to speak knowledgeably about these topics will demonstrate your understanding of the industry and how your role fits into it.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data sets. Practice explaining your thought process clearly and logically, as this will showcase your analytical and problem-solving skills, which are crucial for the role.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with others in the past. Highlight any experiences where you aligned data insights with organisational goals, as this will resonate well with the interviewers.