Senior Data Analyst Linux
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Job Location:
Manila - Philippines
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Why Nasdaq
When you work at Nasdaq youre 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. 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 were 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 were 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.
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.
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 Senior Data Analyst you will be conducting analysis of existing data flows used by NTS application. 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
- 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
Does It Sound Like You
Please follow through by clicking the Apply link and submitting your application. If your skills and experience are a match we will be in touch the meantime please visit our website and social media channels to learn more about our innovative business inclusive culture and where a career at Nasdaq can take you.
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age color disability national origin ancestry race religion gender sexual orientation gender identity and/or expression veteran status genetic information or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Required Experience:
Senior IC
Key Skills
- Databases
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
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