Data Operations Support Analyst: Enhancing Operational Efficiency

4 days ago


Singapore NICOLL CURTIN TECHNOLOGY PTE. LTD. Full time
Job Title

Data Operations Support Analyst: Enhancing Operational Efficiency

About Us

NICOLL CURTIN TECHNOLOGY PTE. LTD. is a dynamic organization seeking a detail-oriented and resourceful Data Operations Support Analyst to enhance operational efficiency and make a positive impact on our emerging team.

Estimated Salary Range

$80,000 - $120,000 per annum, depending on location and experience.

Job Description

We are looking for an exceptional candidate who can provide operations support in a technical environment with a proven track record of working across medium to large-sized teams with diverse stakeholders. The ideal candidate should have experience in using SQL for data-driven analysis and investigation, as well as strong problem-solving and troubleshooting skills.

Key Responsibilities
  1. Run daily standup meetings and monitor/manage daily customer support tickets for prioritization and triage.
  2. Update the status page for product issues when necessary.
  3. Support daily hand-over activities across different regions.
  4. Assist regional customers with seasonal campaigns.
  5. Follow internal processes to triage and support regional escalations.
  6. Coordinate and prepare content for regional monthly meetings.
  7. Notify customers about expiring API product versions.
  8. Track and report on operational performance and conduct ad-hoc data analyses.
  9. Identify and drive process improvements, contributing to operational excellence initiatives.
Essential Skills & Experience
  • 2–4 years of experience providing operations support in a technical environment.
  • Customer-oriented mindset with strong empathy and understanding.
  • Exceptional attention to detail, capable of executing standard workflows while adapting to evolving business needs.
  • Passion for learning and understanding technical concepts.
  • Creative problem-solving and troubleshooting skills.
  • Proven ability to multitask and prioritize effectively in a fast-paced environment.
  • Experience in using SQL for data driven analysis and investigation.
How to Apply

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