Data Analyst

About the Position

We are seeking a Data Analyst based in Singapore to join our team on a full-time basis. The primary responsibility is to convert data into valuable insights that enable informed business decisions. This role involves extracting, analyzing, visualizing, and reporting data using contemporary data platforms like Databricks, along with SQL and Business Intelligence tools.

Key Responsibilities

• Extract, cleanse, and transform data from various sources leveraging SQL and Databricks to fulfill analytics and reporting requirements.
• Create and sustain scalable data models and datasets tailored for business intelligence and dashboard purposes.
• Develop interactive dashboards and reports using tools such as Tableau and Power BI to showcase vital metrics, trends, and insights.
• Conduct exploratory data analyses to uncover patterns, anomalies, and opportunities to enhance business processes.
• Work closely with business stakeholders to gather requirements and convert them into analytical solutions and reports.
• Ensure data validity through validation, reconciliation, and quality control to maintain accuracy and consistency in reporting.
• Automate repetitive reporting tasks to boost workflow efficiency.
• Deliver actionable recommendations to aid operational and strategic decisions.
• Document data specifications, business rules, and reporting methodology for compliance and sharing knowledge.

Required Skills and Expertise

• Advanced proficiency in SQL for querying, transforming, and analyzing data.
• Hands-on experience with Databricks or comparable modern data platforms.
• Proven skills in building dashboards using Tableau and/or Power BI.
• Excellent analytical and problem-solving capabilities.
• Competence in data cleaning, validation, and modeling techniques.
• Ability to handle large datasets and extract meaningful insights.

Preferred Qualifications

• Experience with Python libraries such as Pandas and PySpark for data analysis.
• Familiarity with cloud environments including AWS, Azure, or Google Cloud Platform.
• Understanding of ETL/ELT operations and data pipeline frameworks.
• Experience working within government or regulated sectors.
• Knowledge of data governance and quality assurance methodologies.

Personal Attributes

• Meticulous attention to data detail and accuracy.
• Effective communication skills to translate complex data into understandable business insights.
• Proactive, resourceful, and solution-focused approach.
• Capability to juggle multiple stakeholder demands and priorities.
• Team-oriented with strong accountability for outcomes.