Senior Research Data Analyst - Hybrid Forecasting & Insights

J-K Network Services; Makati; Hybrid; 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

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,