Data Analyst

CONSTRUCTOR TECHNOLOGY PTE. LTD.; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

CONSTRUCTOR TECHNOLOGY PTE. LTD. is seeking a data analytics professional to own the end-to-end analytics lifecycle, defining measurement frameworks, surfacing insights, and supporting product and model decisions.

You will work closely with engineering, product, and ML teams to build and maintain data pipelines and dashboards, shaping the analytical foundation of an AI software project. Requires 3+ years of data analytics experience with track record of influencing product outcomes in a

Qualifications

• 3+ years of data analytics experience.
• Strong SQL and proficiency in Python or R for analysis.
• Experience building dashboards (Tableau, Power BI, Looker).
• Solid grasp of statistics and experiment design.
• Clear communication of findings to technical and non-technical audiences.

Responsibilities

• Define measurement frameworks and metrics with product and engineering teams.
• Build and maintain datapipelines, dashboards, and reports.
• Analyse product, behavioural, and model data to surface actionable insights.
• Support experiment design and A/B test analysis.
• Ensure data quality and consistency across sources.

Skills

Data analytics

SQL

Python

R

Dashboards

Statistics

Experiment design

Communication

Education

Bachelor's degree or higher in Statistics/CS/Engineering/Economics

Tools

Tableau

Power BI

Looker

Job description

Brief Job Description

Owns the end-to-end data analytics lifecycle, from definingmeasurement frameworks and surfacing insights to supporting product and modeldecisions. The role works closely with engineering, product, and ML teams,builds and maintains data pipelines and dashboards, and helps shape theanalytical foundation of the AI software development project. Requires 3+ yearsof data analytics experience, with a track record of influencing productoutcomes in a fast-moving technical environment.

Mission

Turnraw product, behavioural, and model data into clear, trustworthy insight thathelps the team make better decisions, faster.

Education

• Bachelor’s degree or higher inStatistics, Computer Science, Engineering, Economics, or a related quantitativefield — or equivalent practical experience.

Responsibilities

• Define measurement frameworksand metrics with product and engineering teams.
• Build and maintain datapipelines, dashboards, and reports.
• Analyse product, behavioural,and model data to surface actionable insights.
• Support experiment design andA/B test analysis.
• Ensure data quality andconsistency across sources.

Qualifications &Experience

• 3+ years’ experience in dataanalytics or a similar quantitative role.
• Strong SQL and proficiency inPython or R for analysis.
• Experience building dashboards(e.g.Tableau, Power BI, Looker, or similar).
• Solid grasp of statistics andexperiment design.
• Clear communication of findingsto technical and non-technical audiences.

Nice to Have

• Experience with cloud datawarehouses (BigQuery, Snowflake, Redshift).
• Familiarity with ML workflowsand model evaluation metrics.
• Familiarity with GitLab forversioning analysis code and pipelines.
• Exposure to EdTech or AIproducts.