Service Analyst - Hospitality Data Operations & Service Optimization at Devsinc

Lahore, Punjab, Pakistan -

Full Time

Start Date

Immediate

Expiry Date

23 Apr, 26

Salary

0.0

Posted On

23 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Operations, Service Analysis, Process Optimization, Hospitality Systems, Workflow Automation, ETL Pipelines, Data Quality Tools, Data Validation, Reconciliation Scripting, SQL, Python, Continuous Improvement, Service Design, QA Methodologies, UAT Methodologies, Analytical Skills, Problem-Solving Skills

Industry

IT Services and IT Consulting

Description

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. 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. Provident Fund Medical Inpatient & Outpatient Facilities Paid Overtime In-house Subsidized Lunch & Dinner Gym Facility Engaging Company Activities Sports Allowance

Responsibilities

The Service Analyst will pilot and operate new data services, focusing on data acquisition, validation, and collaboration with engineering teams to automate workflows. They will also document SOPs, train junior resources, and monitor service performance for compliance and accuracy.