[Hiring] Data Analyst @SEAhub Asia

Role Description

Support the Data Analytics team by assisting with data validation, report generation, and basic analysis to help ensure data accuracy and enable informed business decision-making.

• Reporting, Analysis & Insight Communication:
  • Prepare reports and perform data analysis to support data-driven decision-making.
  • Monitor key business performance metrics to identify trends, patterns, and anomalies.
  • Assist in building and maintaining dashboards and reports for performance tracking.
  • Communicate data insights to stakeholders in a clear, concise, and actionable way.
• Data Quality & Validation:
  • Support the validation and upkeep of data accuracy across dashboards and data pipelines.
• Cross-Team Collaboration:
  • Respond to data requests from cross-functional teams, including coordinating requirements and providing basic analytical support.
• Process Improvement & Documentation:
  • Document data processes and workflows, and contribute to improving existing data practices and standards.
  • Explore and apply new tools and methods to enhance the efficiency and quality of data work.
• Ad-Hoc Analytical Projects:
  • Assist with ad-hoc data tasks and analytical projects as needed.

Qualifications

• 0–1 year of experience in data analysis or a related field.
• Foundational knowledge of SQL, Excel, and data visualization platforms such as Power BI or Tableau.
• Exposure to Python for data analysis is an added advantage.
• Highly detail-oriented with a strong focus on maintaining data quality and accuracy.
• Strong communication skills with the ability to present findings and insights clearly.
• Demonstrates a proactive mindset and willingness to learn new tools, technologies, and analytical techniques.
• Well-organized, with the ability to prioritize and manage multiple tasks effectively.

Requirements

• 0–1 year of experience in data analysis or a related field.
• Foundational knowledge of SQL, Excel, and data visualization platforms such as Power BI or Tableau.
• Exposure to Python for data analysis is an added advantage.
• Highly detail-oriented with a strong focus on maintaining data quality and accuracy.
• Strong communication skills with the ability to present findings and insights clearly.
• Demonstrates a proactive mindset and willingness to learn new tools, technologies, and analytical techniques.
• Well-organized, with the ability to prioritize and manage multiple tasks effectively.

Benefits

• Remote-first roles built for freedom and flexibility.
• Learning & Development that sharpens skills and accelerates careers.
• Competitive salary packages for high performers.
• Wellbeing perks that help you thrive inside and outside work.
• A team that supports, celebrates, and wins as one.