Assistant Manager/Senior Executive, Data Analytics

• 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.