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Data Analyst - Brand Analytics, Regional Brand Partnership

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Onsite

Data Analyst - Brand Analytics, Regional Brand Partnership

Shopee

Data Analyst - Brand Analytics, Regional Brand Partnership

Skills

SQL QueriesPythonData AnalysisAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

31 August 2026

What they need


About The Team The Brand Analytics team transforms raw data into actionable strategy. We partner with stakeholders to solve complex business problems, leveraging AI and automation to accelerate speed-to-insight.

We are seeking a motivated and detail-oriented BI to join our team. The ideal candidate will work closely with cross-functional stakeholders, leveraging data and automation to enhance business processes, drive insights, and support performance analysis.

Job Description

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

Requirements

  • Proficiency in SQL, and Python for data processing, integration and analysis.
  • Strong problem-solving and critical-thinking skills, with the ability to translate business needs into technical solutions.
  • Experience in creating automated reporting and dashboards to drive decision-making.
  • Excellent communication and stakeholder-management skills, with the ability to collaborate effectively across teams.

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