Data Analyst

CityCab Pte Ltd / Comfort Transportation Pte Ltd.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

CityCab Pte Ltd is seeking a Data Analyst who can turn data into clear insights and dashboards. You will collaborate with product, operations, and business stakeholders to translate questions into reports and analyses that drive better decisions.

You will design and maintain dashboards in Power BI/Tableau/Looker, perform deep data analyses, and present findings to both technical and non-technical audiences. The role requires 1–3 years of experience and strong SQL skills.

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 as a Data Analyst or similar analytics role.
• Strong proficiency in BI tools including data modelling, visual design, and dashboard performance optimization.
• Advanced SQL skills and experience querying large datasets.
• Experience with Python or R for data analysis is a strong plus.
• Good understanding of data modelling, joins, aggregations, and data quality.
• Experience with ad‑hoc analyses, hypothesis testing, and interpreting results.
• Effective communication to explain insights to non‑technical stakeholders.

Responsibilities

• Design, build, and maintain dashboards and reports in Power BI/Tableau/Looker to support monitoring and decision-making.
• Perform detailed data analysis, identify trends, anomalies, and root causes across key metrics.
• Translate business questions into analytical problems, define success metrics, and propose measurement approaches.
• Write SQL to extract, transform, and aggregate data from data warehouses or lakes for analysis.
• Validate data quality and collaborate with data engineering to improve pipelines and definitions.
• Present findings through clear visualizations and presentations for technical and non‑technical audiences.
• Contribute to standardized metrics, definitions, and reporting processes.
• Identify opportunities to improve dashboards, automate reports, and enhance analytical frameworks.
• Ad hoc duties as assigned.

Skills

SQL

Python

R

Data Analysis

Data Modelling

A/B testing

Communication

Problem Solving

Education

Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, Business Analytics, or a related quantitative field

Tools

Power BI

Tableau

Looker

Job description

Job Responsibilities/ Requirements:

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.