DescriptionWe are seeking a detail-oriented Service Analyst to support and scale data-driven services in a high-growth fintech hospitality environment. This role focuses on service operations data validation SOP ownership and close collaboration with engineering teams to transition manual services into automated enterprise-grade workflows.
RequirementsCore Responsibilities
- Pilot and operate new data servicesperforming data acquisition reconciliation
validation and discrepancy analysis across hospitality systems. - Document and refine end-to-end SOPs that prescribe corrective actions and define best
practices for ongoing service delivery. - Train guide and support junior operations resources in executing proven SOPs for
manual service delivery until automation is deployed. - Collaborate with automation and engineering teams to test automated workflows and
verify outputs against manual benchmarks. - Adjust SOPs and training materials based on testing outcomes and production feedback.
- Monitor both automated and manual services for performance compliance and
accuracy; proactively detect anomalies or data quality issues. - Provide structured feedback and actionable insights to improve service robustness
accuracy and scalability. - Partner with operations leadership to ensure service-level agreements (SLAs) and data
integrity targets are consistently met.
Qualification
- Hands-on exposure to hospitality systems (PMS finance or booking integrations).
- Experience with workflow automation ETL pipelines or data quality tools.
- Familiarity with data validation or reconciliation scripting (e.g. SQL Python).
- Strong process mindset with experience in continuous improvement or service design.
- Knowledge of QA or UAT methodologies related to service automation.
Required Skills
- 35 years of experience in data operations service analysis or process optimization in
hospitality fintech or enterprise data environments. - Strong understanding of data acquisition reconciliation and discrepancy
management processes. - Proven ability to author implement and continuously improve SOPs for technical or
data-driven workflows. - Comfortable working with APIs data reports and structured data sources to investigate
issues or validate results. - Excellent analytical documentation and problem-solving skills.
- Experience coordinating between technical teams and service operations to align on
data quality and process standards. - Exceptional attention to detail and a proactive approach to identifying and resolving
service issues. - Excellent English communication skills and customer service handling.
Benefits- Provident Fund
- Medical Inpatient & Outpatient Facilities
- Paid Overtime
- In-house Subsidized Lunch & Dinner
- Gym Facility
- Engaging Company Activities
- Sports Allowance
Required Experience:
IC
DescriptionWe are seeking a detail-oriented Service Analyst to support and scale data-driven services in a high-growth fintech hospitality environment. This role focuses on service operations data validation SOP ownership and close collaboration with engineering teams to transition manual services i...
DescriptionWe are seeking a detail-oriented Service Analyst to support and scale data-driven services in a high-growth fintech hospitality environment. This role focuses on service operations data validation SOP ownership and close collaboration with engineering teams to transition manual services into automated enterprise-grade workflows.
RequirementsCore Responsibilities
- Pilot and operate new data servicesperforming data acquisition reconciliation
validation and discrepancy analysis across hospitality systems. - Document and refine end-to-end SOPs that prescribe corrective actions and define best
practices for ongoing service delivery. - Train guide and support junior operations resources in executing proven SOPs for
manual service delivery until automation is deployed. - Collaborate with automation and engineering teams to test automated workflows and
verify outputs against manual benchmarks. - Adjust SOPs and training materials based on testing outcomes and production feedback.
- Monitor both automated and manual services for performance compliance and
accuracy; proactively detect anomalies or data quality issues. - Provide structured feedback and actionable insights to improve service robustness
accuracy and scalability. - Partner with operations leadership to ensure service-level agreements (SLAs) and data
integrity targets are consistently met.
Qualification
- Hands-on exposure to hospitality systems (PMS finance or booking integrations).
- Experience with workflow automation ETL pipelines or data quality tools.
- Familiarity with data validation or reconciliation scripting (e.g. SQL Python).
- Strong process mindset with experience in continuous improvement or service design.
- Knowledge of QA or UAT methodologies related to service automation.
Required Skills
- 35 years of experience in data operations service analysis or process optimization in
hospitality fintech or enterprise data environments. - Strong understanding of data acquisition reconciliation and discrepancy
management processes. - Proven ability to author implement and continuously improve SOPs for technical or
data-driven workflows. - Comfortable working with APIs data reports and structured data sources to investigate
issues or validate results. - Excellent analytical documentation and problem-solving skills.
- Experience coordinating between technical teams and service operations to align on
data quality and process standards. - Exceptional attention to detail and a proactive approach to identifying and resolving
service issues. - Excellent English communication skills and customer service handling.
Benefits- Provident Fund
- Medical Inpatient & Outpatient Facilities
- Paid Overtime
- In-house Subsidized Lunch & Dinner
- Gym Facility
- Engaging Company Activities
- Sports Allowance
Required Experience:
IC
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