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BI Data Analyst

albo

albo

IT, Data Science
Mexico City, Mexico
Posted on Mar 25, 2026

albo is a leading fintech company offering financial products to individuals and SMBs with the mission to bring financial freedom to everyone everywhere.

About the role

As a BI Data Analyst, your mission is to transform data into a strategic asset. In line with our AI-First strategy, you will not only build dashboards but also architect automated intelligence. We are looking for a professional who treats manual work as a "bug" and leverages AI tools to accelerate analysis, automate reporting flujos, and provide the executive team with high-impact insights at fintech speed.

What you’ll be doing at albo:

  • Smart Reporting & Dashboards: Design, maintain, and automate key company dashboards, ensuring they provide actionable insights for the CEO and executive team.
  • AI-Powered Automation: Use AI tools and scripting (Python/SQL) to automate data delivery, reducing manual intervention to the bare minimum.
  • Deep-Dive Analysis: Conduct thorough research to identify trends, anomalies, and opportunities, using AI to complement statistical methods and speed up discovery.
  • Analytical Layer Ownership: Maintain and evolve our analytical layer (Snowflake/BigQuery), ensuring data is consistent, scalable, and optimized for both human and AI-tooling consumption.
  • Cross-functional Collaboration: Partner with the Data Engineering team to improve pipelines and documentation, applying AI to optimize code and technical debt.
  • Data Governance: Support data quality and normalization initiatives to ensure our "source of truth" remains reliable across all platforms.

About you and what type of skills you'll need:

  • Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative field.
  • +3 years of experience as a Data Analyst, preferably in the Fintech or fast-paced tech industry.
  • Technical Core: Advanced proficiency in SQL and Python for data manipulation and building automation scripts.
  • AI-Assisted Productivity: Demonstrated experience using AI (LLMs, Copilots) to write more efficient code, debug faster, and document complex processes.
  • Data Infrastructure: Solid knowledge of Cloud Data Warehouses and ETL/ELT logic (dbt is a plus).
  • Visualization: High-level experience with BI tools (Tableau, Looker, or Power BI) and the ability to tell compelling stories through data.
  • Customer Centricity: You understand that behind every data point is a user, and you’re obsessed with improving their financial experience through better decisions.
  • Hands-on: You are an energized contributor who enjoys rolling up your sleeves to build automation flows and enabling others to do the same.
  • Done is better than perfect: You thrive in fast-paced environments, prioritizing speed and continuous learning over over-engineering.
  • Communication: Excellent ability to translate complex technical findings into clear, strategic recommendations for stakeholders at all levels.
  • Extreme ownership: You hold yourself accountable for the accuracy of your data. You are organized, proactive, and see projects through from query to impact.
  • Results & Data Driven: You live and breathe metrics, using data to drive constant improvement in everything you touch.