Data Analyst - Insights and Advanced Analytics (NTUC First Campus/NTUC Health)

Location: Singapore
Discipline: Data Science
Job type: Permanent
Contact email:
Job ref: 275995
Published: about 2 months ago

Business Profile Description
NE Digital is the digital, data and technology organization that serve as a center of excellence to drive digital transformation for our group of NTUC Social Enterprises to meet the critical social needs of Singapore's community. Delivering innovative products and solutions, we empower our people to lead a better and meaningful life through digital services in the area of daily essentials, health and community care, childcare and education as well as financial services.
The Team
We believe that diversity is key to driving an innovative, cohesive, productive and fun workplace! Hence, at NE Digital our people join us from all around the world. Be sure to be soaked in an environment with different ethnic groups driving innovation and injecting some creative juice as one!  
Contributing to a social purpose through technology, our team of passionate and dedicated folks are spread into different social enterprises such as NTUC Fairprice Group, NTUC First Campus, NTUC Health and among others! 
Creating technologies that impacts!
Job Description
NTUC First Campus mission is to be the thought and practice leader in the care of children in all of Singapore’s neighbourhoods. We partner with families to fulfil the promise of each child, by enabling every child to have a good start in life. We give working families peace of mind, by making quality child development and care services accessible. We currently have more than 20,000 children across 160 preschool centres in Singapore. In the next 3-5 years, we will continue to grow to be able to serve more families. As a social enterprise, we believe in fulfilling the promise of each child, with special attention to families with additional needs. Driven by our Happy Yay! Organizational philosophy, we believe our people are our greatest asset where we continue to invest in their personal growth while attaining high levels of well-being.
NTUC Health Co-operative Limited (NTUC Health) is an NTUC social enterprise that provides a comprehensive and integrated suite of quality and affordable health and eldercare services to meet the growing needs of families and their dependents. Building on more than four decades of experience and expertise, NTUC Health is among the largest senior day care, nursing home and home personal care providers in Singapore. It also offers other services for seniors such as an active ageing hub, senior activity centres, community support for vulnerable seniors, and a sheltered / senior group home. In addition, it runs a chain of dental clinics, and a family medicine clinic. For more information, please visit
You are a thought leader and evangelist to drive data adoption at all levels of our organization. You engage with the business and functional leaders across the NTUC First Campus Group as well as NTUC Health as the trusted partner to deliver the data analytics solutions that impact our mission. Your emphasis is on organisational effectiveness and commercial analytics, and you draw on principles from Customer Centricity, Management, HR and Finance to achieve your mission. Your three areas of focus are:
Drive Data Use Cases and Impact
You engage with fellow data analysts, data scientists, business stakeholders, and end-users to sharpen our Data use cases and deliver them successfully. This includes identifying promising data use cases, proving their business value, defining success criteria, implementing, validating, and driving its organisational acceptance. Besides specific Data projects, you support the organisation on its journey to becoming more data-driven through raising awareness, showcasing success stories as well as executing and equipping change initiatives. 
Conduct Organisational Effectiveness and Commercial Analytics
Your hands-on work supports our organisational decision-making and helping the organisation to run the business better. Beyond tracking key performance indicators as part of a corporate scorecard dashboard, you will look at areas of how to leverage data and models to improve customer acquisition, identify new commercial opportunities and demand, identify talents amongst our 5,000 workforce for development, lower staff attrition, amongst many others.
Increase our Data Analytics Productivity
In order to serve our educational mission better, we constantly seek to improve our use of data. You do not only help analysing more but analysing more autonomously. Examples are automating the assessments of observational records and of educational outcomes, and automating reports and anomalies alerts. You also improve the effectiveness of our Data initiatives by contributing to a central data catalog that allows discovering all our data assets. With your intimate knowledge of organizational and business users’ needs, you will work alongside the Data Scientists to develop analytics self-help tools that users can easily tap on their own for common use cases.

  • Minimum 3-5 years experience deriving insights from data in a business or academic environment (data manipulation, statistical analytics, visualisation and presentation) and applying insights into business decision-making or flows to deliver business outcomes.

  • Strong SQL or Python skills, experience building data marts

  • Experience implementing clustering, classification, and regression models; designing and analysing experiments, including hypothesis testing

  • Experience planning, conducting, and analysing survey-based research, including sampling methods

  • Experience with cloud technologies, e.g. Google Cloud Platform using CloudComposer, GCE/GKE, Google Data Studio, and BigQuery

  • Knowledge of organisational design, process optimization and measures of organisational effectiveness

  • Previous exposure to analytics in the context of a corporate function, e.g. Planning, HR, Finance

  • Ability to engage Director-level leaders in shaping the Data transformation journey for their department.

  • University degree (B.Sc. or M.Sc.) Business, Computer Science, or related discipline

  • 3-5 years work experience in a data analytics role in industry

Strong affinity for family-related services in the education and the healthcare sector