Data & AI Analyst - #1117312

NTUC Club


Date: 23 hours ago
District: Singapore
Salary: $5,500 - $7,300 / month
Contract type: Full time
Work schedule: Full day
NTUC Club

Roles and Responsibilities

  • Lead and support Data and AI initiatives, including the design of automated data pipelines, dashboards, and analytics workflows

  • Clean, preprocess, and validate structured and unstructured datasets to ensure accuracy, integrity, and usability

  • Perform exploratory data analysis and apply statistical methods to extract insights and support decision-making

  • Collaborate with business and domain stakeholders to translate requirements into actionable reports and analytics solutions

  • Monitor and maintain data quality, implementing systematic validation processes and checks

  • Document processes and ensure traceability of data transformations and analysis outcomes

  • Prepare clear reports, visualisations, and presentations tailored for both technical and non-technical audiences

  • Provide mentorship or guidance to junior analysts or interns, where applicable

  • Ensure compliance with data governance frameworks, privacy regulations (e.g., PDPA), and industry-specific guidelines

Qualifications and Other Requirements

  • Bachelor’s degree in Data Science, Computer Science or a related field

  • 1–3 years of experience in data analytics, with exposure to CRM, customer, or operational data preferred

  • Strong team player and able to work well with end-users and partners

Knowledge and Skills

  • Passion for leveraging data and AI to drive business value, customer engagement, and innovation

  • Hands-on experience with SQL, Python and/or R, and modern data visualisation tools (E.g. Power BI, Tableau)

  • A strong background in predictive models, Large Language Models (LLMs) and generative AI

  • Familiarity with Salesforce Data Cloud, Salesforce ecosystem (Marketing Cloud, Service Cloud, Commerce Cloud), or similar customer data platforms (CDPs) would be a plus

  • Knowledge of data governance, privacy regulations, and compliance frameworks (e.g., PDPA, GDPR)


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