Power BI Data Analyst: Dashboards, Automation & Insights

Cambridge University Press & Assessment | Manila; Philippines; Hybrid; PHP 368,000 - 491,000; Full time

Benefits offered by this job

Regular Employment on Day 1

HMO Coverage and Life Insurance on Day

Paid Annual Leaves (Vacation, Well‑be.

Vesting/Retirement package

Career growth opportunities

Well‑being programs

Hybrid work arrangement

Job summary

Cambridge University Press & Assessment | Manila is seeking a Data Analyst to transform complex data into clear, reliable insights and scalable reporting. The role focuses on building Power BI dashboards, managing data from multiple sources, and ensuring governance and quality across data pipelines.

The successful candidate will join the International Property & Services team, work in a hybrid setup (office two days a week), and contribute to decision support aligned with UK hours.

Qualifications

• Power BI expertise including data modelling and dashboard development.
• Strong SQL and ETL experience for data pipelines.
• Knowledge of data governance and data quality practices.
• Clear communication of insights to technical and non‑technical stakeholders.
• Proactive problem solving and ownership of data challenges.

Responsibilities

• Acquire, manage and transform data from multiple sources to ensure accuracy and usability.
• Build, maintain and enhance Power BI dashboards and reports for actionable insights.
• Strengthen data governance with definitions, documentation and access controls.
• Develop automation with Power Automate to streamline reporting and data workflows.
• Engage with stakeholders to translate business needs into effective reporting solutions.

Skills

Power BI

SQL

ETL

Data governance

Communication

Problem solving

Job description

Cambridge University Press & Assessment | Manila is seeking a Data Analyst to transform complex data into clear, reliable insights and scalable reporting. The role focuses on building Power BI dashboards, managing data from multiple sources, and ensuring governance and quality across data pipelines.

The successful candidate will join the International Property & Services team, work in a hybrid setup (office two days a week), and contribute to decision support aligned with UK hours.