Data Analyst (Fintech)

TL;DR

Senior Data Analyst (Fintech): Supporting the end-to-end lifecycle of multiple Risk models within a Financial Services environment with an accent on accurately defining, validating, transforming, and testing data requirements. Focus on conducting As-Is analysis, validating outputs using SQL and SAS, and leading User Acceptance Testing (UAT).

Location: Remote, Spain

Company

hirify.global, now part of EPAM, is a Digital Accelerator with over 4,000 professionals across 11 countries, fostering a multicultural, startup-oriented culture.

What you will do

• Conduct As-Is analysis and document functional process flows related to Risk model data usage.
• Analyze existing SAS code and End User Computing tools to understand data logic and validate outputs using SQL.
• Define data requirements and produce Business Requirement Documents (BRDs) and technical specifications, including transformations, mappings, and integration points.
• Design and document the To-Be data processes and datasets.
• Collaborate with development teams to clarify functional requirements, validate technical implementations, and support resolution of code-related incidents.
• Lead and coordinate User Acceptance Testing (UAT), ensuring defects are tracked, resolved, and validated prior to release.

Requirements

• 5+ years of experience as a Data Analyst within Financial Services or Banking (Retail, Business, or Corporate Banking).
• Strong hands-on experience performing complex data analysis using SQL, including data validation, reconciliation, and testing.
• Exposure to SAS, including reviewing and interpreting SAS code to understand data logic and transformations.
• Experience producing BRDs, technical specifications, user stories, and process documentation.
• Proven experience working with end users to plan and execute UAT cycles.
• Advanced written and verbal English communication skills, with the ability to translate functional requirements into technical specifications.

Nice to have

• Understanding of cloud technologies, particularly AWS.
• Experience with BI tools and analytical reporting environments.
• Exposure to large-scale transformation programs and data migration initiatives.

Culture & Benefits

• A career plan where you can choose your path: technical specialization or management.
• Social benefits.
• Continuous training.
• Flexible working hours and work-life balance.