SA/AVP, Investment Services (Data Centre of Excellence - Data Analyst) (9764)

The Investment Services Analytics Analyst will undertake research on relevant business topics/problems and conduct data driven analysis to draw out insights and synthesize findings with relevant stakeholders. In addition to the procured external datasets from our data vendors, there is a huge repository of data in the institutional databases that can be mined for insights. The Investment Services Analytics Analyst will engage various business functions in the Investment Services and Finance departments and provide pointers, where necessary, on data analytics with reference to business problems.

Responsibilities :

• The Investment Services Analyst will work alongside the business units in Investment Services and Finance departments to analyse and find analytical solutions to business questions.
• As there are a wide range of data sets available in the systems stewarded by Investment Services and Finance business units, the Investment Services Analytics Analyst is expected to gain understanding of the relevant business domains eg. enterprise spend analytics quickly through independent research or light engagement with the relevant stakeholders.
• Core responsibilities include:

• Stay up to date on external data landscape and stocktake coverage and analysis of financially material investment datasets relevant to Temasek's investment process.
• Leverage data management solutions to reduce effort on data cleansing/wrangling in analytics projects
• Contribute to the formulation of overall data strategy for Investment Services and Finance departments in response to the changing external data landscape as well as integrating modern data management solutions into business processes.
• Analyse data sets to either drive process improvements or draw out business insights
• Design and build visualizations for business analysis and to support senior management reporting
• Maintain data pipelines for analytics dashboards

Requirements :

• Bachelor or Master's Degree in Business Analytics, Statistics, Computing or equivalent STEM with quantitative/ mathematical background
• 5 - 7 years (SA) / 8 - 10 years (AVP) in total work experience and minimum 4 years in data visualization tools like Tableau or Qlik Sense, R/Python and SQLs
• Experience in end-to-end delivery of analytics projects - from interaction with API/webservices, designing of data model from disparate data sets, data cleansing, analytics modelling and conveying analytics insights - is essential
• Strong analytical and logical skills with a creative flair - able to translate data into actionable insights
• Able to work independently across multiple business functions/domains.
• Passionate about finding new coding frameworks or APIs for various applications in data cleansing and analytics models
• Experience in business application of machine learning and operations research in the work environment is an added advantage