Head of Data Analytics

Cubeยท Data, Product & Technology
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๐Ÿ“ Bangkok, Bangkok, ThailandFull time

About this role

We are looking for an experienced and forward-thinking Head of Data Analytics to lead and scale our analytics function. This role is ideal for someone with 10+ years of experience who brings both strong technical depth and proven leadership capability.

As the Head of Data Analytics, you will define our data strategy, lead a growing team of analysts, and partner closely with cross-functional stakeholders to deliver high-impact insights. You will play a key role in helping leading brands make smarter, data-driven decisions in one of the fastest-growing and dynamic markets.

  • Define and drive the overall data analytics strategy aligned with business objectives
  • Lead, mentor, and grow a high-performing team of data analysts, fostering a culture of ownership, curiosity, and continuous improvement
  • Oversee the development of scalable data models, pipelines, and analytical frameworks across large and complex datasets
  • Partner with cross-functional teams to translate business needs into analytical solutions
  • Deliver actionable insights that influence strategic decision-making for both internal stakeholders and external clients
  • Establish best practices in data governance, quality, and documentation
  • Drive the adoption of data visualization and reporting standards to improve clarity and accessibility of insights
  • Stay up to date with industry trends, tools, and best practices in data analytics and e-commerce
  • 10+ years of experience in data analytics, business intelligence, or a related field, with at least 3โ€“5 years in a leadership role managing teams
  • Strong proficiency in Python, SQL, and advanced data analysis techniques
  • Hands-on experience with data warehouse platforms such as Snowflake, Amazon Athena, or Google BigQuery
  • Experience with data visualization tools (e.g., Power BI) and building executive-level dashboards
  • Solid foundation in statistics, with the 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, with the ability to communicate technical concepts to non-technical audiences
  • Strategic mindset with the ability to balance hands-on execution and high-level planning
  • Comfortable operating in a fast-paced, evolving environment with a 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

Frequently Asked Questions

Is the salary disclosed for the Head of Data Analytics position at Cube?
The salary for this Head of Data Analytics role at Cube is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Head of Data Analytics position at Cube located?
This Head of Data Analytics role at Cube is based in Bangkok, Bangkok, Thailand. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Head of Data Analytics role at Cube full-time or part-time?
This is listed as a Full time position. It is posted as a Head of Data Analytics role in the Data, Product & Technology department at Cube.
Which team or department does the Head of Data Analytics at Cube belong to?
This Head of Data Analytics position is part of the Data, Product & Technology department at Cube. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Head of Data Analytics position at Cube?
Click the "Apply Now" button on this page. You will be redirected to Cube's official application portal hosted on workable where you can submit your application directly.
When was the Head of Data Analytics job at Cube posted?
This Head of Data Analytics position at Cube was posted on Aug 3, 2026. Apply as soon as possible โ€” early applications are often reviewed first.
Head of Data Analytics
Cube
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