Data Science Apprenticeship - Leeds, United Kingdom - Exeter College ApprenticeshipsApollo Health Innovations Ltd

Description

In collaboration with Exeter College, Apollo Health Innovations is thrilled to offer a unique opportunity for an aspiring Data Analyst Apprentice.

This position provides an invaluable chance to immerse yourself in the dynamic world of healthcare data analytics, offering real-world experience and mentorship from industry experts.

As an apprentice, you'll be entrusted with meaningful work that not only impacts our clients and patients of health and care services, but also fosters your professional growth.

Apollo Health Innovations, in collaboration with Exeter College, is on the lookout for a budding Data Analyst Apprentice who's eager to embark on an enriching journey within the healthcare domain.

This apprenticeship is not just about acquiring new skills; it's about immersing oneself in a transformative experience that bridges the gap between academic knowledge and the real-world challenges of health tech data analytics.

As our apprentice, you'll be integrated into a passionate team of seasoned professionals, all driven by a shared vision of advancing healthcare through technology and data.

These experts will serve as your mentors, offering guidance, sharing their vast reservoir of knowledge, and ensuring you're equipped to navigate the multifaceted world of data analytics.

The role demands both a keen analytical mindset and a thirst for continuous learning.

While you'll be entrusted with tasks that directly impact our clients and patients, it's also a space for exploration, where mistakes are seen as learning opportunities.

You will need familiarity with data analytics tools and software such as SQL, Python, R, Excel, and specialised software like Tableau or Power BI for visualisation.

A consideration for understanding the importance of confidentiality and ethical handling of sensitive data, especially in a healthcare context is also a requirement.

The unique blend of hands-on experience at Apollo, combined with the academic rigour offered by Exeter College, promises an apprenticeship that's both challenging and rewarding.

It's an invitation to be part of something bigger, to contribute to a mission that's reshaping the very fabric of healthcare, all the while molding you into a skilled and confident data analyst.

List of Duties

Data Collection and Compilation:
Procure relevant datasets and organize them in a manner conducive to analysis.

Data Cleansing:
When necessary, refine and clean datasets to ensure the accuracy and reliability of data.

Data Analysis:

Utilise various analytical techniques to discern patterns and trends in datasets, ensuring the data's significance and relevance are clearly understood.

Conclusion and Recommendation:
Interpret the findings from the data analysis, formulating insightful conclusions, and proposing actionable recommendations to guide business decisions.

Report Creation:

Regularly craft detailed reports based on your findings, ensuring that they are both informative and accessible for various stakeholders.

Guidance and Interpretation:

Act as a point of reference for colleagues, assisting them in understanding and making informed decisions based on the data at hand.

Hours: 37.50 per week


About the employer:

In collaboration with Exeter College, Apollo Health Innovations is thrilled to offer a unique opportunity for an aspiring Data Analyst Apprentice.

This position provides an invaluable chance to immerse yourself in the dynamic world of healthcare data analytics, offering real-world experience and mentorship from industry experts.

As an apprentice, you'll be entrusted with meaningful work that not only impacts our clients and patients of health and care services, but also fosters your professional growth.

Requirements and Prospects:
SQL, Python, R, Excel, and specialised software like Tableau or Power BI for visualisation.

Learning Agility:
As an apprentice, the eagerness and ability to quickly grasp new concepts, tools, and techniques is essential.

Teamwork and Collaboration:

While individual analysis is common, it's also crucial to work effectively with other team members, sharing insights and collaborating on projects.

Time Management:
Ability to prioritize tasks and manage time efficiently, especially when working on multiple projects or datasets simultaneously.

Data Science Associate Progression


Training Provided:

Additional Information:
This Vacancy is remote working

Saul Stevens

Ability to use SQL, Python, R, Excel, and specialised software like Tableau or Power BI for visualisation.