Investment Insights Data Analyst — Hybrid + Equity

Nasdaq; Manila; Hybrid; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

HMO coverage for you and dependents

Employee stock purchase plan

Equity grant

Retirement plan

Annual bonus

Counseling sessions (wellness)

Job summary

Nasdaq in Bonifacio Global City, Taguig, offers a Data Analyst, Investment Insights role with a hybrid schedule (onsite at least 2 days/week). You will transform proprietary data into timely investment insights for institutional and wealth clients globally.

The role requires 3–6 years in data analysis within financial services, strong SQL/Python/VBA skills, and expertise in Tableau or Power BI, with clear storytelling capabilities for diverse audiences.

Qualifications

• Bachelor's degree required in finance, business, math, stats, CS or related field.
• 3–6 years of data analyst experience, preferably in financial services.
• Proficiency in SQL, Python or VBA, and data visualization tools (Tableau/Power BI).
• Strong analytical and problem-solving skills with high attention to detail.
• Clear communicator able to present complex data to diverse audiences.

Responsibilities

• Retrieve, clean, and process large datasets to support investment research.
• Analyze data to identify trends and insights for client-facing and internal deliverables.
• Develop and maintain dashboards, reports, and visualizations communicating findings clearly.
• Collaborate with stakeholders across functions and regions to meet business needs.
• Maintain high data quality and methodological rigor in research workflows.

Skills

SQL

Python

VBA

Data visualization

Education

Bachelor's degree in Finance, Business, Mathematics, Statistics, Computer Science, or a related field

Tools

Tableau

Power BI

Job description

Nasdaq in Bonifacio Global City, Taguig, offers a Data Analyst, Investment Insights role with a hybrid schedule (onsite at least 2 days/week). You will transform proprietary data into timely investment insights for institutional and wealth clients globally.

The role requires 3–6 years in data analysis within financial services, strong SQL/Python/VBA skills, and expertise in Tableau or Power BI, with clear storytelling capabilities for diverse audiences.