Data Analyst

E-Bridge Pre-School; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading education institution in Singapore is seeking a Data Analyst responsible for data connectivity among systems to enhance management reporting and decision-making. The ideal candidate will have significant experience with SQL, ETL tools, and business intelligence software, along with strong analytical and problem-solving skills to contribute to our ongoing digital transformation efforts.

Qualifications

• 3–5 years of experience in data analysis, system integration, or business intelligence.
• Hands-on experience with ETL tools.
• Familiarity with business intelligence tools.

Responsibilities

• Design and maintain data pipelines for reporting and analytics.
• Write SQL queries and perform ETL processes.
• Develop standardised and ad‑hoc reports.
• Build and maintain dashboards using BI tools.
• Document data sources and models.

Skills

Analytical thinking

Problem-solving

Attention to data quality

Collaboration

Communication with stakeholders

Education

Degree in Information Systems

Degree in Computer Science

Degree in Statistics

Degree in Data Analytics

Tools

SQL

Power BI

Power Automate

Azure Data Factory

Microsoft Dynamics NAV/Business Central

Unit4 HRMS

Job description

Job Summary

The Data Analyst will be responsible for developing data connectivity across key business systems, ensuring reliable and accurate data flows to support management reporting, business insights, and decision-making. The role will bridge Finance, HR, and Operations systems — consolidating data from multiple platforms into structured datasets and visual reports. Over time, the analyst will play a key role in building the organisation’s data analytics capability.

Job Role & Responsibilities

Data Integration & Management

• Design and maintain data pipelines from source systems into an integrated reporting and analytics platform.
• Write SQL queries and perform ETL processes from various source systems to consolidate and prepare data for reporting and analysis.
• Collaborate with IT to establish secure API or database connections, ensuring data integrity and refresh automation.
• Monitor and troubleshoot data flows, implementing controls for validation, reconciliation, and error tracking.

Reporting & Analysis

• Develop standardised and ad‑hoc reports to support management decision making.
• Build and maintain dashboards using Power BI or equivalent BI tools (e.g. Qlik, Tableau) to visualise trends and KPIs.
• Support management with data‑driven insights on enrolment, staffing, financial, and operational performance.
• Identify data patterns, anomalies, and improvement opportunities for process or performance optimisation.

Data Governance & Documentation

• Document data sources, data models, and transformation logic for transparency and continuity.
• Implement version control, access rights, and data validation rules aligned with PDPA and corporate policies.
• Participate in ongoing efforts to improve data quality, standardisation, and governance.

Continuous Improvement

• Partner with Finance and Operations to identify automation or process optimisation opportunities.
• Stay current on emerging tools and methods for data integration, analysis, and visualisation.
• Contribute to the organisation’s digital transformation and analytics roadmap.

Skills & Attributes

• Strong analytical thinking and problem‑solving mindset.
• Good business understanding — able to translate operational or financial needs into technical requirements.
• Meticulous attention to data quality, accuracy, and consistency.
• Excellent collaboration and communication with both technical and non‑technical stakeholders.
• Comfortable working independently in a cross‑functional environment.

Job Requirements

• Degree in Information Systems, Computer Science, Statistics, Data Analytics, or related field.
• 3–5 years of experience in data analysis, system integration, or business intelligence.
• Proficient in SQL.
• Hands‑on experience with ETL tools such as Power Automate, Azure Data Factory, or equivalent.
• Familiarity with business intelligence tools such as Power BI, Qlik, or Tableau.
• Experience with Microsoft Dynamics NAV/Business Central and Unit4 HRMS would be advantageous.
• Understanding of data governance, privacy, and security practices.