Airasia
Intern, Ops Excellence
KL Sentral - Redstation
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hirly's read of this role
- Seniority
- Internship
- Country
- MY
- Work mode
- On-site / unstated
- First seen by hirly
- 22 Sept 2026
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the posting
Job Description
As an Ops Excellence Intern, you’ll support efforts to improve operational efficiency, process consistency, and customer experience within the Hotels & SNAP (Flight+Hotel) business.
You will work across day-to-day operational activities and process improvement initiatives, with a focus on data analysis, reporting, operational tracking, and identifying process trends or inefficiencies. The role provides exposure to how data is used to monitor operations, support decision-making, and improve processes within a fast-paced travel environment.
This role suits someone who enjoys working with data, identifying patterns, solving structured problems, and understanding how business operations work end-to-end.
What you’ll do
- Handle operational follow-ups, data updates, and admin tasks.
- Collect, clean, and check operational data.
- Analyse data to find trends, errors, and inefficiencies.
- Maintain reports, trackers, and dashboards.
- Monitor operational KPIs and flag issues.
- Help investigate problems with Operations and other teams.
- Suggest improvements to recurring issues and processes.
- Document workflows and SOPs.
- Support UAT/testing and record results.
What we want
- Proficiency in Google Workspace, particularly Google Sheets, Google Docs, and Google Slides.
- Basic data analysis/statistics knowledge.
- Good attention to detail.
- Able to spot patterns and inconsistencies.
- Organized and able to manage multiple tasks.
- Good communication and teamwork.
- Willing to learn quickly and adapt.
Good to have
- Experience working with Google Sheets, including formulas, sorting, filtering, pivot tables, charts, and basic data analysis.
- Data visualization/reporting experience.
- Exposure to business analytics, operations, or process improvement.
- Experience with SOPs/process mapping.
- Ability to explain data findings clearly.
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