30 days ago

Senior Data Analyst - Linux

Nasdaq

On Site
Full Time
₱700,000
Taguig, National Capital Region, Philippines
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Job Overview

Job TitleSenior Data Analyst - Linux
Job TypeFull Time
Offered Salary₱700,000
LocationTaguig, National Capital Region, Philippines

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Job Description

Why Nasdaq

When you work at Nasdaq, you’re working for more open and transparent markets so that more people can access opportunities. Connections can be made, jobs can be created, and communities can thrive. Nasdaq wants all its employees to have access to opportunity, too, by planning for career growth, ensuring you have the tools you need, and promoting an inclusive culture where everyone is valued for their unique perspective.

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

Nasdaq is committed to building a more diverse and inclusive workforce. It's their responsibility to do better, and representative voices are vital for their business and clients.

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 created.

In return, you will receive HMO coverage for you and your dependents, employee stock purchase plan, equity grant, retirement plan, annual bonus, free counseling sessions, subscription to e-learning platforms, fitness, wellness and more.

What You Will Do

As a Senior Data Analyst - Linux, you will be conducting analysis of existing data flows used by NTS applications. You will then collaborate with other colleagues and a variety of global cross-functional teams to implement changes to said data flows that would address client issues and to ensure the client receives the quality service Nasdaq strives to deliver through incident management, accountability, and professional communication.

  • Prioritize and manage all reported stock exchange/trading activity data issues via an internal ticketing system (JIRA)
  • Investigate and resolve reported data issues using Linux and other server/data management tools
  • Coordinate with global teams to schedule releases and implement various bug fixes
  • Work on continual service improvement to reduce the number of reported issues and improve our client experience

What We Expect

  • Can accept 1-2 years of relevant experience, and fresh graduates are welcome to apply
  • Previously worked with Linux terminal. Working with data extraction is a plus
  • Experience in troubleshooting data issues, data conversion, and manipulation
  • Previous experience in a similar position, preferably from a trading/financial services industry
  • Excellent English verbal and written skills

What Would Be Helpful

  • Experience in a client-facing role is an advantage
  • Confidence to attend client meetings and represent the company

Key skills/competency

  • Data Analysis
  • Linux
  • JIRA
  • Troubleshooting
  • Data Extraction
  • Data Manipulation
  • Financial Services
  • Incident Management
  • Client Communication
  • Service Improvement

Tags:

Senior Data Analyst
Data Analyst
Linux
Financial Services
Troubleshooting
Data Analysis
Incident Management
Client Support
Bug Fixes
Service Improvement
JIRA
Server Management
Data Extraction
Data Manipulation

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How to Get Hired at Nasdaq

  • Research Nasdaq's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for data roles: Customize your resume to highlight Linux skills, data analysis, and troubleshooting experience, aligning with Nasdaq's needs.
  • Prepare for technical interviews: Practice Linux commands, data manipulation techniques, and problem-solving scenarios relevant to financial data.
  • Showcase problem-solving skills: Be ready to discuss past experiences where you identified and resolved complex data issues, emphasizing your methodical approach.
  • Demonstrate client-centric communication: Prepare examples of how you've communicated technical information effectively, especially in client-facing contexts.

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