Data Analyst – Financial Data & Insights (Hybrid)

rimestechnologies; Manila; Hybrid; PHP 350,000 - 650,000; Full time

Job summary

Rimes is recruiting a Data Analyst to join its global Data organization. This role focuses on applying analytical and problem-solving skills to financial data sources across fixed income, equities, ETFs, and commodities.

You will maintain and enhance data quality while supporting data infrastructures. You will collaborate with data developers and performance analysts, respond to client data questions, and coordinate with data suppliers on methodologies and anomalies.

Qualifications

• 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.

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.

Skills

Problem solving

English communication

Python

SQL

Databricks

Perl

Independent working

Multitasking

Education

Bachelor or Master in Finance, Science, Engineering or Mathematics-related field

Tools

Python

Perl

SQL

Databricks

Job description

Rimes is recruiting a Data Analyst to join its global Data organization. This role focuses on applying analytical and problem-solving skills to financial data sources across fixed income, equities, ETFs, and commodities.

You will maintain and enhance data quality while supporting data infrastructures. You will collaborate with data developers and performance analysts, respond to client data questions, and coordinate with data suppliers on methodologies and anomalies.