BI Developer, Google Cloud

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BI Developer, Google Cloud

Google

Location

Mexico City, CDMX, Mexico

Experience

Mid

Posted

Jul 22, 2026

Apply by

August 21, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Job Description

info_outline XPlease submit your resume in English - we can only consider applications submitted in this language. Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law. Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in data modeling, developing data sets, or creating data visualizations. Experience writing SQL queries. Experience using BI tools like Looker, Tableau, or Power BI to create visualizations and dashboards. Experience in business intelligence, data analytics or data engineering. Preferred qualifications: MBA, Master's degree, or advanced degree in a technical or scientific field of study. Experience supporting data-driven sales operations, consulting, or program management and cross-functional BI initiatives in a cloud business. Experience with scripting languages such as Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation. Proficiency in cloud-based data platforms and related BI services. Familiarity with statistical modeling, machine learning, or data mining techniques. Ability to communicate complex technical concepts to both technical and non-technical audiences. About the job As a Business Intelligence (BI) Developer, you will be instrumental in driving data-driven decision-making across our organization. You will design, develop, and implement BI solutions that provide actionable insights to leadership. This involves architecting data marts, constructing efficient data pipelines, and automating reporting processes. Your ability to transform complex data into compelling visualizations will be crucial in helping stakeholders understand the business impact of their decisions. You will collaborate closely with cross-functional teams to deliver high-quality data solutions that support our growth objectives. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Partner with cross-functional teams to define, develop, and test AI agents that integrate with existing data pipelines, establishing scalable frameworks to automate the generation and delivery of actionable business intelligence. Develop data infrastructure, which includes building SQL scripts, creating data pipelines, data warehouses, crafting models, and designing user-friendly dashboards. Transform data into actionable insights by developing data models, data marts, and automating reporting processes to provide leadership with a clear picture of key business and process performance. Lead assigned projects from conceptualization to delivery and ensure your data solutions offer relevant, high-quality data and insights to propel the growth of the business.

Key Responsibilities

  • Partner with cross-functional teams to define, develop, and test AI agents that integrate with existing data pipelines.
  • Develop data infrastructure including building SQL scripts, creating data pipelines, data warehouses, and crafting models.
  • Design user-friendly dashboards and transform data into actionable insights for leadership.
  • Lead assigned projects from conceptualization to delivery to ensure high-quality data solutions.
  • Automate reporting processes to provide a clear picture of key business and process performance.

Requirements

  • Bachelor's degree or equivalent practical experience

Skills Required

SQLLookerTableauPower BIData modelingData visualizationData analyticsData engineeringCommunicationPythonGoJavaScriptHTMLCloud-based data platformsStatistical modelingMachine learningData mining

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