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Bi data analyst

Tapachula de Córdova y Ordóñez, Chis
Albo, México
Publicada el 3 abril
Descripción

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.
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