Senior Research Data Analyst | Hybrid

J-K Network Services; Makati; On-site; PHP 892,800 - 1,339,200; Full time

Job summary

J-K Network Services in Makati City is seeking a Senior Research Data Analyst to interpret data and deliver insights for strategic decisions. The role is hybrid (3x in office, 2x wfh) with a Monday–Friday schedule and a monthly salary range of PHP 80,000–120,000 gross plus benefits.

You will analyze structured and unstructured data, apply predictive analytics, and manage end-to-end projects. A strong background in quantitative fields and proficiency in Python and advanced Excel are required,

Qualifications

• Bachelor’s degree in Mathematics, Engineering, Computer Science, Finance, Economics, or related quantitative field.
• At least 5 years of experience in data analytics, research, or quantitative analysis.
• Strong Python (Pandas, NumPy, Matplotlib) and advanced Excel skills.
• Experience in managing projects from start to finish, preferably in financial services or investment banking.
• Strong finance understanding with excellent data storytelling.

Responsibilities

• Analyze structured and unstructured data to identify trends, patterns, and insights.
• Use predictive analytics and AI tools for forecasting and modeling.
• Validate data from multiple sources to ensure accuracy and consistency.
• Manage end-to-end project delivery with internal teams and clients.
• Present clear, actionable insights to stakeholders and mentor juniors.

Skills

Data analytics

Quantitative analysis

Project management

Communication

Education

Bachelor’s degree in quantitative field

Tools

Python (Pandas/NumPy/Matplotlib)

Advanced Excel

Job description

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

Position: Senior Research 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)

Requirements

• Bachelor’s degree in Mathematics, Engineering, Computer Science, Finance, Economics, or any related quantitative field.
• At least 5 years of experience in data analytics, research, or quantitative analysis.
• Strong skills in Python (Pandas, NumPy, Matplotlib) and advanced Excel for data handling and analysis.
• Experience in managing projects from start to finish, preferably in financial services or investment banking.
• Strong understanding of finance, with good analytical and communication skills to explain data insights clearly.

Responsibilities

• Analyze structured and unstructured data to identify trends, patterns, and insights.
• Use predictive analytics and AI tools for forecasting and modeling.
• Validate data from multiple sources to ensure accuracy and consistency.
• Manage end-to-end project delivery with internal teams and clients.
• Present clear, actionable insights to stakeholders and support junior team members when needed.

Recruitment Process

• Initial Interview
• Final Interview
• Job Offer