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 today for a healthier SG tomorrow!

Check out our IHiS video to learn more about us and our environment where you can bring your ideas to life: https://youtu.be/X4MirFIxdUs

IHiS HealthTech Associate Programme (HAP)

At IHiS, 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 in IHiS.

Click here to find out more about our GDP: https://www.ihis.com.sg/Careers/Pages/Students_Graduates.aspx

We are currently looking for Data Analysts for our HAP Aug 2023 and Feb/Aug 2024 intake. 

Data Analyst

As a Data Analyst at IHiS, 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. On top of that, you will need to apply statistical, algorithmic, mining and visualisation techniques on datasets and develop models of high technical quality

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
• Develop machine learning prototypes and minimum viable products to evaluate viability of models
• Maintain reproducibility and understanding of the modeling process via documentation and other means

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 or May/Dec 2023 or May 2024
• 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
• Knowledge in Big Data framework (Hadoop/ Spark)
• 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 about IHiS and keen to make a difference and reimage the future of HealthTech