Brand Analytics BI Analyst: AI-Powered Insights & Reports

Shopee

Singapore

On-site

SGD 70,000 - 120,000

Full time

Just now
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Job summary

Shopee in Singapore is seeking a detail-oriented BI engineer to partner with cross-functional teams, translating business needs into data-driven insights. You will build reliable dashboards and automate reporting to accelerate decision-making across regional brands.

The ideal candidate is proficient in SQL and Python, can manage KPIs, and applies AI/automation to optimize analytics pipelines while communicating clearly with stakeholders.

Qualifications

  • Proficiency in SQL and Python for data processing and analysis.
  • Strong problem-solving and critical-thinking skills.
  • Experience creating automated reporting and dashboards.
  • Excellent communication and stakeholder-management abilities.

Responsibilities

  • Collaborate with stakeholders to understand needs, identify pain points, and uncover opportunities for process and performance improvements.
  • Define, track, and report on KPIs in alignment with broader business objectives.
  • Utilise SQL and Python to collect, process, and integrate data from multiple sources, building reliable dashboards and reports.
  • Conduct deep-dive brand performance analyses to identify trends, solve business challenges, uncover growth opportunities, and provide actionable recommendations.
  • Apply AI and automation techniques to optimize the analytics pipeline, reduce manual work, and improve overall team efficiency.

Skills

SQL
Python
Data analysis
Stakeholder management

Job description

Shopee in Singapore is seeking a detail-oriented BI engineer to partner with cross-functional teams, translating business needs into data-driven insights. You will build reliable dashboards and automate reporting to accelerate decision-making across regional brands.

The ideal candidate is proficient in SQL and Python, can manage KPIs, and applies AI/automation to optimize analytics pipelines while communicating clearly with stakeholders.

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