Hybrid Senior Data Analyst — Trading Data

Nasdaq, Inc.; Philippines; Hybrid; PHP 500,000 - 800,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Nasdaq, Inc. is seeking a data-operations professional in the Philippines to prioritize, investigate, and resolve stock exchange data issues using Linux-based systems.

You will coordinate with global teams to schedule releases and apply bug fixes to data flows, while collaborating with regional colleagues to enhance service quality and client experience. The role emphasizes continual service improvement, strong communication with technical and non-technical stakeholders, and experience in data

Qualifications

• Bachelor's degree (or equivalent) in a relevant field (e.g., CS/IT/Finance).
• Hands-on experience with the Linux terminal and server-based environments.
• Proven ability to troubleshoot data issues and manipulate large datasets.
• Experience in data extraction is an advantage.
• Prior experience in trading/financial services is preferred.

Responsibilities

• Prioritize and manage reported stock exchange and trading data issues through incident management and ticketing systems.
• Investigate and resolve data issues using Linux and server-based data management tools.
• Coordinate with global teams to schedule releases and implement bug fixes for data flow issues.
• Collaborate across regions to improve existing data flows and service quality.
• Drive continual service improvement to reduce recurring data issues and enhance client experience.

Skills

Data issue troubleshooting

Cross-functional collaboration

English communication

Education

Bachelor's degree in Computer Science / IT / Finance

Tools

Linux

Data extraction tools

Job description

Nasdaq, Inc. is seeking a data-operations professional in the Philippines to prioritize, investigate, and resolve stock exchange data issues using Linux-based systems.

You will coordinate with global teams to schedule releases and apply bug fixes to data flows, while collaborating with regional colleagues to enhance service quality and client experience. The role emphasizes continual service improvement, strong communication with technical and non-technical stakeholders, and experience in data