Data Analyst
Manila, Phillipines
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingMaintain and support Rimes' suite of data products and services
Work with data developers and performance analysts to improve data quality and efficiency
Answer data questions from clients and client-facing teams
Coordinate with data suppliers on calculation methodologies and data anomalies
From the employer’s posting
Maintain and support the suite of Rimes products and services
Collaborate with data developers and performance analysts on optimizing data quality and the efficiency of data infrastructures.
Respond to data questions coming in from clients and from client-facing teams within Rimes.
Coordinate with data suppliers about calculation methodologies and data anomalies.
What you’ll bring
All qualificationsCore experience
- Bachelor's or Master's in Finance, Science, Engineering or Mathematics-related field
- Strong verbal and written communication skills in English
- Results-driven, detail-oriented, with strong problem-solving skills
- Able to work independently and prioritize effectively
Preferred experience
- Knowledge of financial markets and financial data
- Previous work experience in the financial industry
- Python or Perl experience, plus SQL knowledge
Qualification wording
Bachelor or Master, in Finance, Science, Engineering or Mathematics-related field.
Strong verbal and written communication skills in English.
Results-driven and detail-oriented with strong problem-solving skills.
Able to work independently, take initiative, and prioritize effectively.
Knowledge of financial markets and financial data
Previous work experience in the financial industry
Python/Perl experience.
Tools in this posting
- Python
- Databricks
- SQL
Source — Tool mentions in context
- Previous work experience in the financial industry - Python/Perl experience. - Knowledge of SQL.
- Knowledge of SQL. - Hands-on experience working with Databricks or similar distributed data processing platforms Work Model: hybrid approach, 2 days per week in our office, hours 9am - 6pm.
- Python/Perl experience. - Knowledge of SQL. - Hands-on experience working with Databricks or similar distributed data processing platforms
About Rimes Technologies
Rimes provides the Intelligence Fabric for Capital Markets, a trusted data network and intelligence architecture that transforms fragmented data, operations and workflows into decision-grade intelligence.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 25, 2026 · 32 days ago
- Recorded sightings
- 18
- Last seen by us
- Oct 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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- Check the listed location, eligibility and core experience before starting.
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Job description
About Rimes
Rimes provides the Intelligence Fabric for Capital Markets, a trusted data network and intelligence architecture that transforms fragmented data, operations and workflows into decision-grade intelligence. The world’s leading institutional investors, asset managers, and service providers rely on Rimes to help them make better investment decisions that power more than US$ 75 trillion in AUM annually.
The Opportunity:
We are currently recruiting for a Data Analyst to join our global Data organization. This is an excellent opportunity to join a well established firm with a global footprint and significant growth potential.
As a Data Analyst at Rimes, you will apply your analytical and problem solving expertise to research complex issues related to financial data sources across a wide range of asset classes, including fixed income, equities, ETFs, and commodities.
Responsibilities:
- Maintain and support the suite of Rimes products and services
- Collaborate with data developers and performance analysts on optimizing data quality and the efficiency of data infrastructures.
- Respond to data questions coming in from clients and from client-facing teams within Rimes.
- Coordinate with data suppliers about calculation methodologies and data anomalies.
- Playing a key role in upholding Rimes’ commitment to data quality.
Requirements:
- Bachelor or Master, in Finance, Science, Engineering or Mathematics-related field.
- Results-driven and detail-oriented with strong problem-solving skills.
- Flexible and efficient at multitasking across various assignments.
- Strong verbal and written communication skills in English.
- Able to work independently, take initiative, and prioritize effectively.
- Interested in technology while recognizing the importance of process and structure.
- Attentive to detail with a demonstrated ability to think creatively.
- A confident communicator with exceptional interpersonal skills.
Also useful:
- Knowledge of financial markets and financial data
- Previous work experience in the financial industry
- Python/Perl experience.
- Knowledge of SQL.
- Hands-on experience working with Databricks or similar distributed data processing platforms
Work Model: hybrid approach, 2 days per week in our office, hours 9am - 6pm.
Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.
Rimes is committed to promote the values of diversity and inclusion throughout the business. Whether it’s through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.
Visit our Careers page to see our complete listings.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Manila, Phillipines
- Hands-on experience working with Databricks or similar distributed data processing platforms Work Model: hybrid approach, 2 days per week in our office, hours 9am - 6pm. Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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