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- Aufgaben: Analyze medical data, write Python scripts, and collaborate with experts.
- Arbeitgeber: Join a passionate team improving healthcare through data analytics.
- Mitarbeitervorteile: Enjoy flexible hours and fully remote work with an international team.
- Warum dieser Job: Perfect for medical professionals transitioning to data analytics in a tech-driven environment.
- Gewünschte Qualifikationen: Medical background, data analytics courses, SQL knowledge, and basic Python skills required.
- Andere Informationen: Ideal for those eager to grow at the intersection of healthcare and technology.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
The team of experts providing analytical services to healthcare clients is looking for a great, long-term junior data analyst .
You will join an international team of first-class professionals who are passionate about creating products that improve the quality of medical services.
Responsibilities:
- Analyze and process medical data using SQL;
- Write Python scripts for data processing and validation;
- Validate analytical results from a medical perspective;
- Utilize prompt engineering techniques for GPT-based analysis;
- Collaborate with cross-functional teams, including medical experts and data scientists.
Requirements:
- Medical background – experience as a therapist, including patient interactions, disease diagnosis, and hospital work experience.
- Completed courses in Data Analytics / Data Science – basic knowledge of data analysis, statistics, and machine learning.
- SQL knowledge – ability to write queries, perform joins, aggregations, and optimize performance.
- Basic Python skills – experience with Pandas, NumPy, and basic scripting.
- Analytical mindset – ability to interpret data and validate insights from a medical perspective.
- Eagerness to learn and grow in IT – a strong passion for data analysis and technology.
- Experience with prompt engineering for GPT (nice to have).
This role is ideal for a medical professional with hands-on patient experience who has transitioned into data analytics and wants to apply their expertise at the intersection of healthcare and technology.
If you’re a doctor, have completed DA/DS courses and want to grow in this field, apply now – we’d love to talk to you!
Additional Benefits:
- Flexible working hours;
- Fully remote job;
- Opportunity to work with an international team of first-class professionals.
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Junior Data Analyst Arbeitgeber: TN Germany
Kontaktperson:
TN Germany HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Junior Data Analyst
✨Tip Number 1
Make sure to highlight your medical background during the interview. Your experience as a therapist and your understanding of patient interactions will be crucial in demonstrating how you can bridge the gap between healthcare and data analytics.
✨Tip Number 2
Familiarize yourself with SQL queries and Python libraries like Pandas and NumPy before the interview. Being able to discuss specific examples of how you've used these tools in your previous work will show your technical competence and readiness for the role.
✨Tip Number 3
Prepare to discuss any projects or experiences where you've utilized prompt engineering techniques, especially if you have worked with GPT-based analysis. This will demonstrate your eagerness to learn and grow in IT, which is a key requirement for this position.
✨Tip Number 4
Show your passion for data analysis and technology by discussing any relevant courses or self-study you've undertaken. This will help convey your commitment to continuous learning and growth in the field, making you a more attractive candidate.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Junior Data Analyst
Tipps für deine Bewerbung 🫡
Highlight Your Medical Background: Make sure to emphasize your experience as a therapist, including any patient interactions and disease diagnosis. This is crucial for the role, so provide specific examples of your hands-on experience in the medical field.
Showcase Your Data Skills: Detail your completed courses in Data Analytics or Data Science. Include any relevant projects or experiences where you utilized SQL and Python, especially with libraries like Pandas and NumPy.
Demonstrate Analytical Mindset: Illustrate your ability to interpret data and validate insights from a medical perspective. Use examples that showcase your analytical thinking and how it has benefited your previous work.
Express Eagerness to Learn: Convey your passion for data analysis and technology. Mention any additional learning or certifications you are pursuing, especially in areas like prompt engineering for GPT, to show your commitment to growth in this field.
Wie du dich auf ein Vorstellungsgespräch bei TN Germany vorbereitest
✨Showcase Your Medical Background
Make sure to highlight your experience as a therapist and any patient interactions you've had. This will demonstrate your understanding of the medical field, which is crucial for this role.
✨Demonstrate Your Data Skills
Be prepared to discuss your knowledge of SQL and Python. You might be asked to write a query or explain how you would process data using Pandas or NumPy, so brush up on these skills before the interview.
✨Emphasize Your Analytical Mindset
Talk about how you interpret data and validate insights from a medical perspective. Providing examples of past experiences where you successfully analyzed data can set you apart from other candidates.
✨Express Your Eagerness to Learn
Convey your passion for data analysis and technology. Mention any courses or self-study you've undertaken in Data Analytics or Data Science, and express your desire to grow in the IT field.
