Singapore

Senior Manager / Manager, Philanthropic Strategy (Data Analysis), Singapore

Senior Manager / Manager, Philanthropic Strategy (Data Analysis), Singapore
Description
What the role is
  • Support the Group’s analytical and reporting needs, and engage stakeholders within and across teams to articulate and frame updates for senior management, the Community Chest Committee, funders and donors.
  • Demonstrate strong business acumen to anticipate organisational needs, identify emerging challenges, and proactively develop analytical solutions that advance the Group’s philanthropic and engagement outcomes.
  • Spearhead data quality initiatives and process improvements to enhance analytical capabilities and reporting accuracy.
What you will be working on
  • Data analytics and insights to drive transformation.
  • Work closely with internal and external stakeholders and transform data analyses into compelling narratives and actionable recommendations for stakeholders.
  • Design and maintain dynamic dashboards that enable real-time monitoring of key performance indicators and strategic objectives.
  • Anticipate analytical needs and proactively propose solutions that address current and emerging business requirements.
  • Design and implement automated solutions to streamline data collection, validation, and reporting processes.
  • Develop SOPs, documentation and data governance framework to ensure data quality, integrity and compliance.
  • Lead data cleaning and standardisation initiatives to improve data integrity across systems.
  • Other duties: Lead projects and assignments as and when needed.
What we are looking forPersonal Competencies
  • Strong analytical mindset with exceptional attention to detail.
  • Excellent problem‑solving abilities and systematic thinking.
  • Proactive approach to identifying and resolving data quality issues.
  • Strong project management and stakeholder management skills.
  • Ability to translate complex data into clear, actionable insights.
Skills & Knowledge
  • Strong foundation in financial analysis and business metrics.
  • Experience in data cleaning, validation, and quality control processes.
  • Advanced proficiency in Excel, including pivot tables, and financial modelling.
  • Experience with business intelligence tools and dashboard creation.
  • Knowledge of data governance principles and best practices.
  • Knowledge of the social service sector/fundraising landscape would be an advantage.
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Highlights
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