Assistant Manager/Senior Executive, Data Analytics

Agency for Integrated Care; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

AIC is seeking a Data Analyst to deliver insights from data to inform business decisions and policies. The successful candidate will have a degree in Data Science or a related field and will work on various data operations including analysis and visualization. This role offers a dynamic environment and is open to entry-level candidates with relevant skills.

Qualifications

• At least 3 years of experience in data support for business units.
• Proficient in data analysis and visualization tools.
• Entry level candidates with relevant skillsets are welcome.

Responsibilities

• Deliver timely business insights from operational data to stakeholders.
• Perform data operations including acquisition, wrangling, and analysis.
• Support complex data analytic projects and develop visualizations.

Skills

Data analysis

Communication

Problem-solving

Collaboration

Attention to detail

Education

Degree in Data Science

Advanced diploma in data analytics

Certificate in programming

Tools

Python

Stata

R programming

Tableau

Power BI

Microsoft Excel

Job description

Company description:

The Agency for Integrated Care (AIC) aims to create a vibrant care community for people to live well and age gracefully. AIC coordinates and supports efforts in integrating care to achieve the best care outcomes for our clients. We reach out to caregivers and seniors with information on staying active and ageing well, and connect people to services they need. We support stakeholders in their efforts to raise the quality of care, and also work with health and social care partners to provide services for the ageing population. Our work in the community brings care services and information closer to those in need. For more about us, please visit https://www.aic.sg.

Job description:

• Be part of the team that delivers timely business insights from operational data to internal and external stakeholders to inform business policy planning and make data-driven decisions.

• Perform data operations including data acquisition, wrangling and analysis of datasets by applying data tools and statistical methods, translating them to actionable insights

• Ensure timely provision of accurate information to AIC colleagues and external stakeholders.

  • Fulfil routine data requests and conduct ad hoc analyses as required by stakeholders, such as AIC Divisions, MOH, and RHS-es

• Support complex data analytic projects that promote the adoption of a data-driven approach at AIC.

• Collaborate with stakeholders to understand their business needs and deliver data-driven solutions.

  • Conduct routine and ad hoc data analysis to support various work functions and projects.

  • Perform data wrangling, analyse, and interpret complex datasets and geospatial information to answer operational questions.

  • Develop, maintain and/or improve dashboards, maps, and other visualisations to communicate insights to stakeholders.

  • Support automation, text analytics, and machine learning projects to help enhance productivity.

• Identify trends, patterns, and anomalies in data sets and provide recommendations based on findings.

• Stay up to date on industry best practices and emerging trends in business analytics.

Job Requirements:

• Degree in Data Science, Business Analytics, Statistics, Mathematics, or a related field.

• Advanced diploma or certificate in data analytics and programming will be added advantage.

• At least 3 years of relevant experience in providing data support to business units preferably in health or social care settings.

• Business-oriented and the ability to deliver quality service in a fast-paced working environment.

• Proficient in data analysis software such as Python, Stata or R programming.

• Proficient in data visualisation tools such as Tableau or Power BI.

• Proficient in the use of Microsoft products such as Word, Excel, PowerPoint, Teams, SharePoint.

• Good knowledge of statistics and quantitative methods.

• Able to work well independently and in teams.

• Able to perform and complete stretch tasks under tight deadlines.

• Able to handle uncertainty and ambiguity.

• Attentive to detail and committed to data accuracy.

• Good written and oral communication skills.

• Flexible, self-motivated, and able to manage multiple projects efficiently.

• Entry level candidates with relevant skillsets are welcome to apply.