Jan/Feb 2027 Data Analyst (HealthTech Associate Programme)

Synapxe

Singapore

On-site

SGD 42,000 - 66,000

Full time

14 days+
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Job summary

Synapxe invites graduates to join the HealthTech Associate Programme (HAP) as a Data Analyst in Singapore. The role focuses on building data products, extracting insights, and preparing data for advanced analytics across data operations, BI, and data engineering domains.

You will work with stakeholders to define business needs, gather and validate data, apply analytics methods, and present findings through compelling stories and presentations.

Qualifications

  • Pursuing a Bachelor Degree in analytics, CS, IT, IS or related field with graduation in 2026.
  • Knowledge of statistical and data mining techniques.
  • Experience with SQL/PLSQL and programming in R or Python.
  • Strong data intuition and curiosity to learn new techniques on real-world data.
  • Strong teamwork and communication skills and leadership qualities.

Responsibilities

  • Identify business needs with stakeholders and translate into analytics requirements.
  • Gather data from internal and external sources and ensure quality and prep for analysis.
  • Analyze data, apply analytics methods, and extract insights.

Skills

Data analysis
Statistical techniques
Data mining
Communication
Leadership

Education

Bachelor degree in analytics/CS/IS

Tools

SQL/ PL/SQL
Python
R

Job description

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 HAP Jan/Feb 2027 intake. The job title represents a range of analyst roles across diffferent domains (eg Data Operations, Business Intelligence, Data Engineering etc.) If shortlisted, we will reach out to share the relevant scope and expectations based on your profile.

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 Dec 2026
  • 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-imaginethe future of HealthTech

#LI-SYNX03

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