Data Specialist

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Monitor and manage data quality, including identifying and classifying failures.

• Develop and implement analytical solutions and systems for data management and evidence collection.

• Engage in the continuous improvement of data processes and quality by proposing new rules and thresholds.

• Collaborate with cross-functional teams to analyze and resolve information quality issues.

• Oversee the updating and maintenance of data assets.

• Support the execution of critical data processes and generate status reports.

• Create analytical assets to identify incidents based on trends.

• Manage the updates and maintenance of Data Activity for next-generation processes.

• Assist in the methodological management of Financial SLOs for processes governed by BCBS and CDD standards.

• Develop evolutionary modules in Looker Studio and systems for evidence management.

• Update dashboards and review quality incidents.

⛳️ Requirements

• Professionals in Industrial Engineering, Systems Engineering, Business Administration, Finance, or related fields.

• Excellent proficiency in Microsoft Office Suite.

• Proficient in Google tools.

• Experience with Python, PySpark, and AWS (SageMaker, Athena).

• Knowledge of SQL.

• Minimum of 2-3 years of experience in quality management and rule handling.

• Experience in managing and implementing governance models for data handling.

• Ability to support data stewards and generate information for process validation.

• Advanced proficiency in Python and basic knowledge of SQL.

• Experience in monitoring and managing data quality, including identifying and classifying failures.

• Knowledge of monitoring and classifying failures in quality rules, especially in RUN processes and critical CDD rules.

• Familiarity with generating analytical assets to identify incidents based on trends.

• Knowledge of updating and maintaining Data Activity for next-generation processes.

• Support and methodological management for Financial SLOs in processes covered by governance and quality standards (BCBS and CDD).

• Development of evolutionary modules in Looker Studio, evidence management systems, and quality rule proposals.

• Familiarity with updating dashboards and reviewing quality incidents.

• Professional-level Python skills.

• Advanced proficiency in PySpark is desirable.

• Basic knowledge of Git is desirable.

• Strong analytical skills.

• Conflict/problem resolution abilities.

• Initiative.

• Assertive communication.

• Teamwork and collaboration skills.

• Responsibility.

• Continuous self-learning.

• Strategic thinking.

🏝️ Benefits

• Employees can work remotely.