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πŸ“
Taguig City, Philippines

Investment Data Analyst

1 yrs
Financial Services
Data/Analytics
November 20, 2025

Nasdaq

Stock exchange & financial-technology services
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Position Summary

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We are seeking a highly analytical and detail-oriented Data Analyst to join our Data Solutions team in Manila. This role is pivotal in ensuring the integrity, accuracy, and usability of our data assets. The ideal candidate will bring a strong foundation in data analysis, a collaborative mindset, and a passion for continuous improvement.

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Why Nasdaq

When you work at Nasdaq, you’re working for more open and clear markets so that more people can access opportunities. Connections can be made, jobs can be created, and communities can thrive. We want all our employees to have access to opportunity, too. That means planning for career growth, ensuring you have the tools you need, and promoting an inclusive culture where we’re all valued for our unique perspective.

Here, you will work for a global tech leader committed to breaking down barriers to inclusive prosperity. We see technology as a means to free people up to work together more productively and effectively by centralizing data, analytics, and market intelligence.

Here, we’re committed to building a more diverse and inclusive workforce. Not only is it our responsibility to do better, but we also need representative voices to power the fresh thinking that is vital for our business and our clients.

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What We Offer

This is a permanent full-time role based in Bonifacio Global City, Taguig following a hybrid work model setup (at least 2 office days per week).

You can expect an autonomous but fast-paced work environment where you are recognized for your results and ability to drive things forward. Every day brings many opportunities to learn & grow and rewards with a global impact we create.

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What You Will Do

We are seeking a highly analytical and diligent Data Analyst to join our Data Solutions team in Manila. This role is pivotal in ensuring the integrity, accuracy, and usability of our data assets. The ideal candidate will bring a solid foundation in data analysis, a collaborative attitude, and a passion for continuous improvement.

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What We Expect

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What Would Be Helpful

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