Service Analyst - Hospitality Data Operations & Service Optimization

We 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.

Requirements

Core Responsibilities

• Pilot and operate new data services—performing 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

• 3–5 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