Data Analyst - 7396

Cambridge University Press & Assessment; Manila; Hybrid; PHP 368,280 - 491,040; Full time

Benefits offered by this job

Day 1 employment

HMO & Life Insurance Day 1

Paid annual leaves

Vesting/Retirement package

Career growth opportunities

Well‑being programs

Flexible hybrid schedule

Cross-branch collaboration

Job summary

Cambridge University Press & Assessment is seeking a Data Analyst in Makati City to join the Academic Business Analysis team. The role focuses on data capture, reporting, and analytics using Excel, Python, and Power BI, with hybrid work and UK hours alignment.

You will deliver scheduled reports, build dashboards, and perform ad hoc analyses to support stakeholders. The position offers Day 1 employment, healthcare, and growth opportunities in a collaborative environment.

Qualifications

• Proven experience in delivering regular reporting and descriptive analytics with a focus on accuracy, timeliness, and consistency.
• Strong analytical and problem‑solving skills, with the ability to investigate issues and generate actionable insights.
• Ability to collaborate effectively with stakeholders to gather requirements and communicate findings clearly.
• Knowledge of data quality principles, validation techniques, and data governance best practices.
• Working knowledge of SQL, Python, and Power BI for data extraction, transformation, or visualization.

Responsibilities

• Own the delivery, maintenance, and distribution of scheduled reports, ensuring accuracy, timeliness, and reliability for business users.
• Design, develop, and maintain dashboards, reports, and analytics solutions that provide actionable insights and support stakeholder decision‑making.
• Partner with stakeholders to understand business requirements, translate them into reporting solutions, and deliver high‑quality ad hoc analysis.
• Identify and resolve data quality issues while driving continuous improvements through automation, optimization, and modernization of reporting processes.
• Maintain strong data governance and documentation standards while collaborating with team members to share knowledge, improve capabilities, and support business priorities.

Skills

Reporting & analytics

Analytical thinking

Stakeholder collaboration

Data governance

Problem solving

Tools

SQL

Python

Power BI

Job description

Data Analyst

Work setup: We operate in a hybrid work environment, and we encourage applicants who are open to working in the office two days a week.

Work schedule: Monday to Friday, 3PM to 11PM Manila time, overlaps with UK operating hours.

Employment type: Permanent.

Location: Makati City, Metro Manila.

Pay range: Php 33,000 to Php 44,000.

Role Overview

We are looking for a dedicated Data Analyst to join our Academic Business Analysis team, supporting data capture, reporting, and analytics for the Academic business. The role is responsible for producing, maintaining, and enhancing a suite of regular reports using front‑facing analytical and business intelligence tools, including Excel, Python-based data processing, and Power BI, alongside occasional written analysis.

Key Responsibilities

• Own the delivery, maintenance, and distribution of scheduled reports, ensuring accuracy, timeliness, and reliability for business users.
• Design, develop, and maintain dashboards, reports, and analytics solutions that provide actionable insights and support stakeholder decision‑making.
• Partner with stakeholders to understand business requirements, translate them into reporting solutions, and deliver high‑quality ad hoc analysis.
• Identify and resolve data quality issues while driving continuous improvements through automation, optimization, and modernization of reporting processes.
• Maintain strong data governance and documentation standards while collaborating with team members to share knowledge, improve capabilities, and support business priorities.

Benefits

• Regular Employment on Day 1
• HMO Coverage and Life Insurance on Day 1
• Paid Annual Leaves (Vacation, Well‑being, Flexible, Holiday, and Volunteering leaves)
• Vesting/Retirement package
• Opportunities for career growth and development
• Access to well‑being programs
• Flexible schedule, hybrid work arrangement and work‑life balance
• Opportunity to collaborate with colleagues from diverse branches that will expand your horizons and enrich your understanding of different cultures

Essential Qualifications

• Proven experience in delivering regular reporting and descriptive analytics with a focus on accuracy, timeliness, and consistency.
• Strong analytical and problem‑solving skills, with the ability to investigate issues and generate actionable insights.
• Ability to collaborate effectively with stakeholders to gather requirements and communicate findings clearly.
• Knowledge of data quality principles, validation techniques, and data governance best practices.
• Working knowledge of SQL, Python, and Power BI for data extraction, transformation, or visualization.

Desirable Qualifications

• Familiarity with academic journal publishing business.
• Strong attention to detail and ability to work independently while managing competing priorities.
• Experience managing workload and priorities using tools such as Jira or similar workflow systems.