Data Analyst

rimestechnologies· Data Development
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📍 Manila, Phillipines

About this role

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.

Frequently Asked Questions

Is the salary disclosed for the Data Analyst position at rimestechnologies?
The salary for this Data Analyst role at rimestechnologies is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Analyst position at rimestechnologies located?
This Data Analyst role at rimestechnologies is based in Manila, Phillipines. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Data Analyst at rimestechnologies belong to?
This Data Analyst position is part of the Data Development department at rimestechnologies. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Analyst position at rimestechnologies?
Click the "Apply Now" button on this page. You will be redirected to rimestechnologies's official application portal hosted on greenhouse where you can submit your application directly.
When was the Data Analyst job at rimestechnologies posted?
This Data Analyst position at rimestechnologies was posted on Sep 23, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Analyst
rimestechnologies
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