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CubePosted 3 weeks ago

Head of Data Analytics

On-siteBangkok, Bangkok, Thailand

Full TimeSenior LevelBachelors DegreeSmall

Job Summary

Define the overall data analytics strategy aligned with business objectives and oversee scalable data models, pipelines, and analytical frameworks across large, complex datasets. Lead and mentor a high-performing team of data analysts while fostering a culture of ownership and continuous improvement. Partner with cross-functional stakeholders to translate business needs into analytical solutions and deliver actionable insights that influence strategic decision-making for internal teams and external clients. Establish best practices in data governance, quality, and documentation, and drive the adoption of visualization standards to improve insight clarity. Maintain up-to-date knowledge of industry trends, tools, and best practices in data analytics and e-commerce, with a focus on Southeast Asian markets.

Required Qualifications

  • 10+ years of experience in data analytics, business intelligence, or a related field
  • at least 3–5 years in a leadership role managing teams
  • Strong proficiency in Python
  • Strong proficiency in SQL
  • advanced data analysis techniques
  • Hands-on experience with data warehouse platforms such as Snowflake
  • Hands-on experience with Amazon Athena
  • Hands-on experience with Google BigQuery
  • Experience with data visualization tools (e.g., Power BI)
  • building executive-level dashboards
  • Solid foundation in statistics
  • ability to translate complex data into clear, actionable insights
  • Proven experience working with large, complex datasets
  • ideally within e-commerce or a related industry
  • Strong stakeholder management skills
  • ability to communicate technical concepts to non-technical audiences
  • Strategic mindset
  • ability to balance hands-on execution and high-level planning
  • Comfortable operating in a fast-paced, evolving environment
  • high degree of ownership
  • Experience working with Southeast Asian markets
  • Background in client-facing or consulting environments
  • Experience scaling analytics teams in high-growth companies

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