Data Analyst (ETL & Data Quality)

Quick Facts

• Role: Data Analyst focused on ETL workflows, data reconciliation, and data quality

Description

You will design, build, optimize, and maintain robust ETL workflows for complex business reporting. You will develop and automate end-to-end data reconciliation processes and continuously monitor data reliability to uphold strong data governance. You will write technical specifications and perform unit testing, collaborating in Agile projects with IT and business teams.

Responsibilities

• Design, build, optimize, and maintain ETL & workflow solutions for business reporting

• Develop and automate data reconciliation to ensure data integrity across credit datasets

• Monitor data reliability, identify inconsistencies, and enforce data governance

• Produce technical documentation and run unit testing to ensure workflow accuracy

• Participate in Agile project meetings and collaborate with IT and business stakeholders

Requirements

• ETL tool proficiency: Alteryx or Talend (strong preference for Dataiku)

• Advanced SQL for managing large, complex datasets

• Basic Python for preprocessing/automation

• Experience with version control using Dataiku GIT

• Experience with end-to-end data reconciliation and data quality management (preferably financial/corporate credit)

• Agile experience across SDLC: tech specs, unit testing, production deployment

• Excellent English communication (written and verbal) and strong logical reasoning

• Ability to work effectively in an international, cross-regional setup