Data Analyst - Toa Payoh
KAIROS GLOBAL SEARCH PTE. LTD. Toa Payoh Permanent
Job Description:
Our client is a leading financial institution committed to leveraging data-driven insights to enhance business performance, improve customer experiences, and drive strategic decision-making. Right now, they are seeking a Data Analyst to join their dynamic analytics team, where you will work with large datasets, uncover valuable insights, and support business leaders in making data-informed decisions.This role requires expertise in data visualization, statistical analysis, and banking operations. The ideal candidate has experience working in financial services, a strong analytical mindset, and proficiency in data tools such as SQL, Python, and BI platforms.
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Key Responsibilities:
- Analyze large datasets to identify trends, patterns, and key business drivers.
- Develop insights to support decision-making across business units such as retail banking, corporate banking, and risk management.
- Perform advanced statistical analysis and predictive modeling to improve customer segmentation, credit risk assessment, and fraud detection.
- Build interactive dashboards and reports using BI tools (e.g., Tableau, Power BI, Qlik).
- Automate data reporting processes to improve efficiency and accuracy.
- Provide actionable insights to stakeholders through data storytelling and visualization.
- Ensure data accuracy, integrity, and consistency across multiple sources.
- Work closely with data engineering teams to improve data pipelines and infrastructure.
- Maintain compliance with banking regulations and data privacy policies.
- Partner with business teams, risk management, and IT to align data insights with business objectives.
- Present findings and recommendations to senior management in a clear and impactful manner.
- Translate complex data concepts into business-friendly insights for non-technical stakeholders.
Requirements:
- Bachelor’s or Master’s degree in Data Science, Statistics, Finance, or a related field.
- Minimum 3 years of experience in data analysis, preferably within banking or financial services.
- Strong proficiency in SQL for data extraction and manipulation.
- Experience with programming languages such as Python or R for data analysis.
- Expertise in BI tools such as Tableau, Power BI, or Qlik.
- Solid understanding of financial products, risk analytics, and banking operations.
- Excellent problem-solving skills and the ability to translate data into strategic insights.
- Strong communication skills to collaborate with technical and non-technical teams.
- Knowledge of regulatory requirements (e.g., Basel, IFRS 9) is a plus.
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