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Business Intelligence Analyst

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Onsite

Business Intelligence Analyst

Gogoro

Business Intelligence Analyst

Skills

SQL QueriesLookerTableauPythonPostgreSQLMySQLData AnalysisMachine LearningAIPower BI

21 days ago

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Important information


Contract type:

Permanent

Location:

Taiwan

Work mode:

Onsite

Published on:

30 September 2026

What they need


Position Impact

We are seeking a Business Intelligence Analyst to act as a strategic partner within our agile data team in the EV and Energy Network sector. Your mission is to drive business decisions by transforming complex retail and user behavioral data into actionable insights. You will leverage statistical analysis and data visualization to communicate clear narratives, empowering stakeholders to optimize operations and shape our AI-driven strategies.

Why Join Us?

  • Impact: Optimize user experience for millions of EV users directly through data.

  • Technical Stack: Work with a lean stack (Cloud DW + Python + Tableau) and actively adopt AI tools to evolve.

  • Agile Team: Join an elite squad where your architectural decisions matter.

Responsibilities:

  • End-to-End BI Solutions: Design, build, and maintain scalable BI solutions, from data ingestion (ETL) to visualization (Dashboards/Reports).

  • Data Modeling & Warehousing: Develop robust data models and schemas using ETL tools to support self-service analytics.

  • Actionable Insights: Partner with stakeholders to translate business questions into analytical requirements, utilizing statistical methods where necessary to validate findings.

  • Visualization: Proficiency in industry-standard BI tools such as Tableau, Power BI, or Looker Studio.

  • Data Quality & Governance: Understanding the best practice of data governance, troubleshoot data discrepancies, optimize query performance, and ensure a "single source of truth" across the organization.

Requirements:

  • A desire to work in a collaborative, intellectually curious environment.

  • Experience: 3+ years of industry experience in BI, Data Analytics, or Analytics Engineering.

Technical Stack:

  • Advanced proficiency in SQL (e.g., PostgreSQL, MySQL).

  • Experience with Cloud Data Warehouses (e.g., BigQuery, Redshift).

  • Proficiency in at least one BI visualization tool (e.g., Tableau, PowerBI).

  • Coding: Proficiency in a scripting language (e.g., Python) for data manipulation or automation.

  • AI/ML Familiarity: Interest or experience in leveraging AI/LLMs to enhance data workflows or analysis.

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