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Data Analyst

Salary undisclosed

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Mapúa University (MU) is one of the top Engineering schools in the Philippines. With ABET-accredited programs delivered through cutting-edge methods and state-of-the-art facilities, Mapua trains and forms individuals to possess important knowledge, skills, and values, collectively known as outcomes, that will make them globally competitive and truly qualified to serve a wide range of professions in different fields. Mapúa is a member of Yuchengco Group of Companies (YGC).

Data Analyst

The Data Analyst will provide high-quality data analysis and reporting to support decision-making, planning, and communication at Mapúa University. This role will be responsible for developing data-driven insights, visualizations, and forecasting models to inform and support the strategic direction of the University. The Data Analyst will ensure data integrity, facilitate efficient access to information, and generate reports that highlight opportunities for process improvements and institutional growth.

Key Accountabilities:

  • Data Analysis and Reporting
  • Data Integrity and Management
  • Leadership and Collaboration
  • Continuous Improvement and Research

Required Qualifications:

  • Bachelor’s degree in Mathematics, Computer Science, Statistics, Data Analytics, or a related field. A Master's degree is preferred.
  • 3+ years of experience in data analytics, data mining, statistical analysis, or a related field.
  • Experience in an academic or educational environment is an advantage.
  • Proven experience with data visualization tools, such as Power BI, Tableau, or similar platforms.

Knowledge, Skills, and Abilities:

  • Strong background in data management, statistical analysis, and reporting.
  • Advanced proficiency in Excel and experience with database tools and querying.
  • Ability to translate complex data into actionable insights for decision-making.
  • Strong interpersonal and communication skills to convey technical findings to non-technical audiences.
  • Demonstrated ability to work effectively both independently and as part of a team.
  • Exceptional attention to detail, problem-solving skills, and commitment to continuous improvement.
  • Knowledge of programming languages, such as Python or SQL, is an asset.

Data Privacy Notice

By submitting your application, you consent to the collection, use, and processing of your personal data by Mapúa University in accordance with the Data Privacy Act of 2012 and the University's data privacy policies. Your information will be used solely for recruitment purposes and will be kept confidential.

Job Type: Full-time

Benefits:

  • Company Christmas gift
  • Company events
  • Health insurance
  • Life insurance
  • On-site parking
  • Pay raise
  • Promotion to permanent employee

Schedule:

  • 8 hour shift
  • Monday to Friday

Supplemental Pay:

  • 13th month salary
  • Overtime pay

Ability to commute/relocate:

  • Manila: Reliably commute or planning to relocate before starting work (Required)

Education:

  • Bachelor's (Required)

Work Location: In person

Mapúa University (MU) is one of the top Engineering schools in the Philippines. With ABET-accredited programs delivered through cutting-edge methods and state-of-the-art facilities, Mapua trains and forms individuals to possess important knowledge, skills, and values, collectively known as outcomes, that will make them globally competitive and truly qualified to serve a wide range of professions in different fields. Mapúa is a member of Yuchengco Group of Companies (YGC).

Data Analyst

The Data Analyst will provide high-quality data analysis and reporting to support decision-making, planning, and communication at Mapúa University. This role will be responsible for developing data-driven insights, visualizations, and forecasting models to inform and support the strategic direction of the University. The Data Analyst will ensure data integrity, facilitate efficient access to information, and generate reports that highlight opportunities for process improvements and institutional growth.

Key Accountabilities:

  • Data Analysis and Reporting
  • Data Integrity and Management
  • Leadership and Collaboration
  • Continuous Improvement and Research

Required Qualifications:

  • Bachelor’s degree in Mathematics, Computer Science, Statistics, Data Analytics, or a related field. A Master's degree is preferred.
  • 3+ years of experience in data analytics, data mining, statistical analysis, or a related field.
  • Experience in an academic or educational environment is an advantage.
  • Proven experience with data visualization tools, such as Power BI, Tableau, or similar platforms.

Knowledge, Skills, and Abilities:

  • Strong background in data management, statistical analysis, and reporting.
  • Advanced proficiency in Excel and experience with database tools and querying.
  • Ability to translate complex data into actionable insights for decision-making.
  • Strong interpersonal and communication skills to convey technical findings to non-technical audiences.
  • Demonstrated ability to work effectively both independently and as part of a team.
  • Exceptional attention to detail, problem-solving skills, and commitment to continuous improvement.
  • Knowledge of programming languages, such as Python or SQL, is an asset.

Data Privacy Notice

By submitting your application, you consent to the collection, use, and processing of your personal data by Mapúa University in accordance with the Data Privacy Act of 2012 and the University's data privacy policies. Your information will be used solely for recruitment purposes and will be kept confidential.

Job Type: Full-time

Benefits:

  • Company Christmas gift
  • Company events
  • Health insurance
  • Life insurance
  • On-site parking
  • Pay raise
  • Promotion to permanent employee

Schedule:

  • 8 hour shift
  • Monday to Friday

Supplemental Pay:

  • 13th month salary
  • Overtime pay

Ability to commute/relocate:

  • Manila: Reliably commute or planning to relocate before starting work (Required)

Education:

  • Bachelor's (Required)

Work Location: In person