Data Analytics Assistant Manager - Dashboards & Insights

Recruit Express Pte Ltd; Singapore; On-site; SGD 43,000 - 51,000; Full time

Job summary

Recruit Express Pte Ltd in Singapore seeks a data analyst to translate analytics needs into actionable insights. You will work with stakeholders to deliver dashboards and maintain data quality while collaborating across teams.

You will collect, clean, and validate data from multiple sources, build clear visuals for technical and non-technical audiences, and help drive data-driven decisions that support organisational goals.

Qualifications

• Bachelor’s degree in a related field.
• Minimum 1 year of professional experience as a data analyst or in a similar role.
• Proficiency with analytics tools (Excel, Power BI, Tableau, SQL, R, Python).

Responsibilities

• Work with internal stakeholders to understand analytics needs and deliver relevant insights.
• Collect, organise, and maintain data from primary and secondary sources while ensuring quality and accuracy.
• Clean, prepare, and validate data sets for reliable analysis and reporting.
• Build dashboards, charts, and reports that simplify and visualise data findings for both technical and non-technical audiences.
• Collaborate with cross-functional teams to align data-driven insights with organisational goals.
• Develop and automate processes for data collection, integration, and reporting to improve efficiency.
• Evaluate existing systems and recommend improvements for data handling and analysis.

Skills

Statistics

Excel

Power BI

Tableau

SQL

R

Python

Education

Bachelor’s Degree in Public Health, Psychology, Human Resources, Computer Science, Statistics, Information Systems

Job description

Recruit Express Pte Ltd in Singapore seeks a data analyst to translate analytics needs into actionable insights. You will work with stakeholders to deliver dashboards and maintain data quality while collaborating across teams.

You will collect, clean, and validate data from multiple sources, build clear visuals for technical and non-technical audiences, and help drive data-driven decisions that support organisational goals.