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A leading data-driven organization in Singapore is seeking a Data Analyst to lead and support Data and AI initiatives. The role involves designing automated data pipelines, validating datasets, and collaborating with stakeholders to create actionable reports. Candidates should possess a bachelor's degree in a relevant field and have 1-3 years of experience in data analytics, with strong skills in SQL and visualization tools. This position offers an opportunity to drive business value through data and AI.
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
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
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)