Senior Data Analyst - Hybrid

Recruitify_HR; Makati; Hybrid; PHP 892,800 - 1,339,200; Full time

Job summary

Recruitify_HR is seeking a Senior Data Analyst based in Makati City, Philippines. The ideal candidate will have a strong background in analytics with a bachelor's degree in a quantitative discipline and minimum of 5 years of relevant experience.

This hybrid role involves interpreting datasets, applying predictive analytics, and managing project delivery while mentoring junior analysts. A salary range of Php 80,000 - Php 120,000 gross plus benefits is offered.

Qualifications

• Minimum 5 years of experience in analytics, research, or quantitative roles.
• Proven ability to manage projects end-to-end, ideally in financial services or investment banking.
• Willingness to work on a shifting schedule.

Responsibilities

• Interpret structured and unstructured datasets to uncover trends and insights.
• Apply predictive analytics and AI tools for modeling and forecasting.
• Ensure data accuracy by validating multiple sources.
• Oversee complete project delivery with both internal teams and clients.
• Communicate actionable insights to stakeholders and mentor junior analysts.

Skills

Proficiency in Python (Pandas, NumPy, Matplotlib)

Advanced Excel

Analytical skills

Communication skills

Financial acumen

Education

Bachelor’s degree in a quantitative discipline

Job description

A technology-enabled research firm that helps organizations interpret human and market behavior to navigate change and make informed strategic decisions.

Position: Senior Data Analyst

Company Industry: IT Company

Work Location: Makati City

Work Schedule: Monday - Friday (Shifting)

Salary: Php 80,000 - Php 120,000 gross + Benefits

Work Set Up: Hybrid (3x in office, 2x wfh)

Qualifications

• Bachelor’s degree in a quantitative discipline (Mathematics, Engineering, Computer Science, Finance, Economics, etc.)
• Minimum 5 years of experience in analytics, research, or quantitative roles
• Proficiency in Python (Pandas, NumPy, Matplotlib) and advanced Excel
• Proven ability to manage projects end-to-end, ideally in financial services or investment banking
• Strong financial acumen, with excellent analytical and communication skills
• Willingness to work on a shifting schedule

Key Responsibilities

• Interpret structured and unstructured datasets to uncover trends and insights
• Apply predictive analytics and AI tools for modeling and forecasting
• Ensure data accuracy by validating multiple sources
• Oversee complete project delivery with both internal teams and clients
• Communicate actionable insights to stakeholders and mentor junior analysts

Recruitment Process

• Initial Interview
• Onsite final interview