Data Analyst
SEAhub Asia · Kuala Lumpur, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
Build What's Next With Us
At SEAhub Asia, your career isn't just a job — it's a launchpad.
We move fast, think big, and build futures together.
What's waiting for you here?
Remote-first roles built for freedom and flexibility
Learning & Development That Sharpens Skills And Accelerates Careers
Wellbeing perks that help you thrive inside and outside work
A team that supports, celebrates, and wins as one
and we're just getting started.
We're growing across Southeast Asia — and we're searching for sharp minds, big thinkers and curious hearts ready to help us build what's next. learners, and big thinkers who want to create what's next.
If you're ready to make a real impact and grow with a future-ready team, your next chapter starts here.
Job Summary
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.
Responsibilities
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
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.
Don't miss out on this exciting opportunity! Apply now at www.seahubasia.com.
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Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
- What a data analyst actually earnsmedian, seniority, by country
- Alternative careers for a data analystevery measured route out
- BI Developer → Data Analyst82% readiness
- Data Engineer → Data Analyst59% readiness
- Product Analyst → Data Analyst54% readiness
- All open data analyst rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a data analyst’s profile already covers.
- 34 open product analyst roles62% readiness from data analyst
- 24 open bi developer roles50% readiness from data analyst
- 386 open business analyst roles41% readiness from data analyst
- 354 open data engineer roles30% readiness from data analyst
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