Data Analyst

Zig by ComfortDelGro; Singapore; On-site; SGD 52,000 - 78,000; Full time

Job summary

Zig by ComfortDelGro in Singapore seeks a Data Analyst who turns data into clear insights and dashboards that support product, operations, and business decisions.

You will design and maintain dashboards in Power BI, Tableau, or Looker; perform detailed analyses; and translate questions into reports that reveal trends and root causes.

Strong SQL skills and experience with Python or R will help validate data, automate reports, and communicate findings to both technical and non-technical audiences.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, Business Analytics, or a related quantitative field.
• 1–3 years of hands-on experience in analytics roles (Data Analyst, Data Scientist, Business Analyst) preferred.
• Strong proficiency in BI tools (Power BI/Tableau/Looker) with data modelling and dashboard optimization.
• Advanced SQL skills for querying data from data warehouses or data lakes.
• Experience with Python or R for data analysis is a strong plus.
• Good understanding of data modelling concepts, joins, and data quality.
• Experience conducting deep dive analyses to answer business questions and identify root causes.
• Familiarity with A/B testing or basic statistical methods is advantageous.
• Experience in ride-hailing, logistics, e-commerce, or data-rich domains is a plus.
• Strong business-oriented thinking and ability to translate insights to operational impact.
• Excellent problem solving and attention to data accuracy.
• Effective communication to explain analytical approaches to non-technical stakeholders.

Responsibilities

• Design, build, and maintain interactive dashboards and reports to support business monitoring and decision-making.
• Perform detailed data analysis and deep dives to identify trends, anomalies, and root causes.
• Translate business questions into analytical problems and define success metrics.
• Write efficient SQL to extract, transform, and aggregate data from data warehouses or data lakes.
• Validate data quality and collaborate with data engineering to improve pipelines.
• Present findings through clear visualizations and presentations for technical and non-technical audiences.
• Contribute to standardized metrics, definitions, and reporting processes.
• Identify opportunities to automate reports and improve analytical frameworks.
• Handle ad hoc duties as assigned.

Skills

Power BI

Tableau

Looker

SQL

Python

R

Data modelling

Communication

Education

Bachelor's degree in a quantitative field

Tools

Power BI

Tableau

Looker

Job description

We are looking for a Data Analyst who is passionate about turning data into clear insights and intuitive dashboards. In this role, you will work closely with product, operations, and business stakeholders to translate questions and problems into reports, analyses, and visualizations that drive better decisions.

Job Responsibilities:

• Design, build, and maintain interactive dashboards and reports in tools such as Power BI, Tableau, or Looker to support business monitoring and decision-making.
• Perform detailed data analysis and deep dives to identify trends, anomalies, and root causes across key business metrics.
• Work with stakeholders to translate business questions into well-structured analytical problems, define success metrics, and propose measurement approaches.
• Write efficient SQL to extract, transform, and aggregate data from data warehouses or data lakes for analysis and reporting.
• Validate data quality, investigate data issues, and collaborate with data engineering teams to improve data pipelines and definitions.
• Present analytical findings and recommendations through clear visualizations, documents, and presentations tailored to technical and non-technical audiences.
• Contribute to the development and documentation of standardized metrics, business definitions, and reporting processes.
• Proactively identify opportunities to improve existing dashboards, automate recurring reports, and enhance analytical frameworks.
• Any Ad hoc duties as assigned.

Job Requirements:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, Business Analytics, or a related quantitative field.
• Preferably 1–3 years of hands‑on experience as a Data Analyst, Data Scientist, Business Analyst, or similar analytics role.
• Strong proficiency in at least one modern BI/dashboarding tool (e.g., Power BI, Tableau, Looker, or similar) including data modelling, visual design, and dashboard performance optimization is preferred.
• Advanced SQL skills, with experience querying large datasets from relational databases, data warehouses, or data lakes.
• Solid experience with data analysis in Python or R (e.g., using Pandas, NumPy, basic statistical and analytical libraries) is a strong plus.
• Good understanding of data modelling concepts, joins, aggregations, and handling data quality issues.
• Experience conducting deep dive analyses to answer ad‑hoc business questions, quantify impact, and identify root causes.
• Familiarity with A/B testing, experimentation, or basic statistical methods (e.g. hypothesis testing, confidence intervals) is an advantage.
• Experience working in domains such as ride‑hailing, logistics, e‑commerce, or other high-growth, data‑rich environments is a plus but not required.
• Strong business-oriented thinking, with the ability to connect data insights to real operational or product implications
• Excellent problem-solving skills, with a structured approach to breaking down complex questions and validating assumptions.
• High attention to detail and data accuracy, with a habit of checking and validating your own work.
• Effective communication skills, including the ability to explain analytical approaches and insights clearly to non‑technical stakeholders.