Aug/Sept 2025 Data Analyst (HealthTech Associate Programme)

Are you someone who enjoys problem solving, has a curious mind and more importantly, keen to make a difference in the future of HealthTech?
If so, join us, and #ExperienceHealthTech. We are Synapxe. Inspiring Tomorrow's Health: https://youtu.be/3d-qIBO2i0U

HealthTech Associate Programme (HAP)

We tailored our graduate programme to provide graduates with a holistic experience to develop and sharpen their technical capabilities, professional and soft skills. Through our HAP,  you will get access to challenging projects, on-the-job learning and a series of online-based classroom training and be supported with a development framework to build and drive your career.

We are currently looking for Data Analysts for Aug/Sept 2025 intake. 

Note: Please apply to your most preferred role for our HealthTech Associate Programme and our recruiters will review your profile. We will reach out to you if your profile is more suitable for other role such as Cybersecurity, Software Development, IT Project Delivery or Infrastructure under our HealthTech Associate Programme. Thank you. 

Data Analyst

As a Data Analyst, you will build data products that extract insights from the analysis of datasets. Assisting with setting up environments conducive for analysing data, develop and document analysis scripts, summarizing results and developing conclusions. Retrieve and analyze diverse datasets, assess data quality and perform transformations to prepare the data to be ready for more advanced analysis.

In this role you will:

Identify Business Needs

• Work with stakeholders to define business and information needs
• Support the translation of business needs into analytics and reporting requirements
• Recommend types of data and data sources needed

Analyse Data

• Gather data from internal systems and external sources
• Apply programming abilities to build software to scrub, combine, and manage data from a variety of sources
• Perform data validation and quality control checks
• Apply data mining techniques and programming skills to investigate leads, identify patterns and regularities in data

Present Insights

• Assist with the development of actionable recommendations
• Develop compelling, logically structured presentations including story telling of research/analytics findings

About you:

• Be pursuing a Bachelor Degree in Business Analytics, Data Analytics, Computer Science, Information Technology, Information Systems or related discipline
• Graduating in May 2025
• Knowledge of Statistical and Data Mining techniques
• Knowledge in various databases (SQL/ PL/SQL Query etc) and programme knowledge such as R and/or Python
• Strong interest in uncovering patterns in underlying complex data.
• Possess data intuition and curiosity to learn and master application of new techniques on diverse real-world data, and a tenacity to solve problems when encountering new unknown scenarios.
• Adaptable, proactive and a strong team player
• Possess strong leadership qualities with good verbal and written communications skills
• Passionate and keen to make a difference to re-imagine the future of HealthTech

#LI-SYNX03