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NEORIS, S.A. de C.V. logo

Data Analyst Python

Job Overview

Location

Remote, Spain

Job Type

Full-time

Category

Data & Analytics

Date Posted

April 21, 2026

Full Job Description

📋 Description

  • As a Data Analyst Python at NEORIS, you will play a key role in analyzing data to standardize and implement validation procedures and control models, directly contributing to risk management and financial systems integrity.
  • Your day-to-day responsibilities include defining and designing functional test notebooks, validating calculations generated by systems, collaborating in agile environments with multidisciplinary technology and business teams, and participating in continuous improvement initiatives for risk control models and processes.
  • NEORIS, now part of EPAM, is a global technology services provider with over 60,000 professionals across 55 countries, delivering nearshore solutions that combine global capabilities with local trust to drive sustainable, high-value impact for clients.
  • In this role, you will deepen your expertise in financial risk analytics, strengthen your Python and SQL skills in regulated environments, and grow professionally through personalized career plans and continuous learning opportunities in a culture that values individual development as much as results.

Skills & Technologies

Python
Scala
GitHub
Pandas
NumPy
Remote

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NEORIS, S.A. de C.V. logo
NEORIS, S.A. de C.V.
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About NEORIS, S.A. de C.V.

NEORIS is a global digital transformation services company founded in 2000 and headquartered in Miami, Florida. It provides consulting, systems integration, and managed services focused on enterprise software, cloud, analytics, and emerging technologies. The company serves Fortune 500 and large enterprises across financial services, manufacturing, telecommunications, healthcare, and public sectors in more than 25 countries. NEORIS combines nearshore delivery capabilities from Latin America with on-site and offshore resources to deliver end-to-end solutions that accelerate innovation, optimize operations, and enhance customer experiences.

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