Finance Data Analytics Engineer - Reconciliation & BI

Stori; Ciudad de México; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Stori is seeking a Data Analytics Engineer in Mexico City to support finance, accounting and regulatory reporting. You will drive data accuracy and reconciliation processes, delivering reports and insights across innovation, BI and data management initiatives.

You will apply SQL, Python and data skills to build governance, dashboards and automated solutions that scale with the business and regulatory needs. Fluency in English is required for cross-team collaboration.

Formación

• Bachelor's degree in Engineering, Science, Economics, Analytics or related quantitative field.
• Advanced SQL and Python for data manipulation and analysis.
• 2+ years of experience in data analytics and in quantitative/qualitative analysis.
• Deep understanding of credit product operations and fintech regulations.
• Fluent English.
• Strong communication and collaboration skills.

Responsabilidades

• Develop data-driven solutions for accounting processes and automated reconciliations.
• Mine diverse data sources using open-source tools to enable finance insights.
• Create self-service data frameworks for data consumers.
• Collaborate with finance to align analytics with business goals.
• Launch dashboards and tools for finance and regulatory reporting.
• Ensure data quality, metadata, and data governance across teams.

Conocimientos

SQL

Python

English

Data analytics

Quantitative analysis

Educación

Bachelor's degree in a quantitative field

Descripción del empleo

Stori is seeking a Data Analytics Engineer in Mexico City to support finance, accounting and regulatory reporting. You will drive data accuracy and reconciliation processes, delivering reports and insights across innovation, BI and data management initiatives.

You will apply SQL, Python and data skills to build governance, dashboards and automated solutions that scale with the business and regulatory needs. Fluency in English is required for cross-team collaboration.