Data Analyst

E-Bridge Pre-School; Singapore; On-site; SGD 45,000 - 65,000; Full time

Job summary

An educational institution in Singapore is seeking a Data Analyst to develop data connectivity across key business systems. This role involves designing data pipelines, creating reports and dashboards, and ensuring data quality. Candidates should possess a degree in a relevant field and have 3-5 years of experience in data analysis, with proficiency in SQL and ETL tools like Power Automate. This position offers an opportunity to contribute to the organization's data analytics capability.

Qualifications

• 3–5 years of experience in data analysis or business intelligence.
• Hands-on experience with ETL tools.
• Understanding of data governance and security practices.

Responsibilities

• Design and maintain data pipelines for reporting.
• Develop standardised reports to support management.
• Document data sources and transformation logic.

Skills

Analytical thinking

Problem-solving

Collaboration and communication

Attention to data quality

Education

Degree in Information Systems, Computer Science, Statistics, Data Analytics

Tools

SQL

Power Automate

Azure Data Factory

Power BI

Qlik

Tableau

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.