Assistant Manager/Senior Executive, Data Analytics #SgUnitedJobs

• 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, analyze, 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 an 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, and 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.