At a Glance
- Tasks: Transform healthcare data into insights, generate reports, and support analysis projects.
- Company: Ukonnect Staffing connects talent with careers in tech and data across the UK.
- Benefits: Enjoy remote work, a pension scheme, private health insurance, and a wellness allowance.
- Other info: Flexible working hours and 25 days annual leave plus public holidays.
- Why this job: Kickstart your career with mentorship and make a real impact in healthcare analytics.
- Qualifications: Bachelor’s degree in a related field and foundational data analysis knowledge required.
The predicted salary is between 24000 - 28800 £ per year.
Job Title:Entry-Level Healthcare Data Analyst
Company:Ukonnect Staffing
Location:Remote (United Kingdom) - Must be eligible to work in the UK
Job Type:Full-time, Permanent
Salary:£28,000 - £32,000 per annum (depending on experience)
Job Title:Entry-Level Healthcare Data Analyst
Company:Ukonnect Staffing
Location:Remote (United Kingdom) - Must be eligible to work in the UK
Job Type:Full-time, Permanent
Salary:£28,000 - £32,000 per annum (depending on experience)
Ukonnect Staffing specialises in connecting talented individuals with transformative careers in the technology and data sectors across the UK. We believe in fostering potential and providing a clear pathway for growth for those starting their professional journey.
We are seeking a motivated and analytically minded graduate to join our client\'s team as an Entry-Level Healthcare Data Analyst. This is a remote opportunity to play a vital role in transforming healthcare data into actionable insights that support patient care and operational efficiency. You will receive comprehensive training and mentorship to build a successful career in health data analytics.
- Clean, process, and validate structured healthcare datasets (e.g., patient records, treatment outcomes).
- Assist in generating routine reports and dashboards to track key performance indicators for healthcare services.
- Perform basic statistical analysis to identify trends, patterns, and anomalies in health data.
- Support senior analysts in ad-hoc data extraction and analysis projects using SQL.
- Ensure all data handling and analysis complies with UK GDPR and data protection regulations.
- Communicate findings clearly and effectively to team members.
- Right to work in the United Kingdom.
- Bachelor’s degree (or equivalent) in Data Science, Statistics, Mathematics, Economics, Public Health, or a related field.
- Demonstrable foundational knowledge of data analysis principles through university projects or internships.
- Proficiency in Microsoft Excel (e.g., PivotTables, VLOOKUP).
- Familiarity with at least one data manipulation tool, such as SQL, Python (Pandas), or R.
- A keen interest in the healthcare sector and a strong desire to learn.
- Excellent problem-solving abilities and meticulous attention to detail.
- Strong verbal and written communication skills.
- Understanding of healthcare data standards (e.g., HL7, FHIR) and terminology (e.g., ICD-10, SNOMED CT).
- Experience with data visualization tools like Power BI or Tableau.
- Knowledge of UK GDPR and its implications for handling sensitive health data.
- Salary:£28,000 - £32,000 per annum.
- Mentorship:Structured training programme with dedicated mentorship from experienced analysts.
- Benefits:Company pension scheme, private health insurance, and a wellness allowance.
- Development:Annual budget for professional development and certification courses.
- Work-Life Balance:Flexible remote-working policy and 25 days of annual leave plus public holidays.
Please click on Apply Now and submit your updated resume.
Ukonnect Staffing is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided on the basis of qualifications, merit, and business need.
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#J-18808-LjbffrEntry-Level Healthcare Data Analyst employer: Ukonnect Staffing
Ukonnect Staffing is an exceptional employer that prioritises the growth and development of its employees, offering a structured training programme and dedicated mentorship for new graduates. With a flexible remote-working policy, competitive salary, and comprehensive benefits including private health insurance and a wellness allowance, Ukonnect fosters a supportive work culture that values diversity and inclusivity, making it an ideal place for those looking to launch their careers in healthcare data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Entry-Level Healthcare Data Analyst
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Ukonnect Staffing when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Ukonnect Staffing.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Ukonnect Staffing.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Ukonnect Staffing’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Entry-Level Healthcare Data Analyst
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Ukonnect Staffing, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Ukonnect Staffing aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Ukonnect Staffing
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
