Agoda is part of Booking Holdings [NASDAQ: BKNG], with over 7,000 employees from 90 countries.
The Data department oversees all of Agoda's data-related requirements, enabling data-driven decision making.
Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third-party tools and logs.
Develop and optimize data models (warehouse tables, marts, views) powering CEG reporting, monitoring, forecasting, QA, and experimentation.
Ensure data quality, reliability, and observability: validation checks, anomaly detection, monitoring, SLAs, and ownership for critical tables and metrics.
Improve performance and cost efficiency of data jobs and queries (partitioning, indexing, query tuning, storage format optimization).
Collaborate with data platform and engineering teams to standardize tooling and best practices (version control, CI/CD, code review, documentation, runbooks).
Design and build data tools and internal products for CEG (self-service analytics, dashboards, alerting systems, investigator tools, QA/review tools, agent performance views).
Use Python, Java, Golang, or JavaScript/TypeScript to implement APIs, data services, and lightweight UIs.
Build and maintain dashboards and reports; perform deep-dive analysis to identify root causes and propose data-driven recommendations.
Define and maintain metrics and KPIs (CSAT, NPS, SLA, AHT, FCR, quality scores).
Requirements
Comfortable switching between engineering work (pipelines, data models, internal services, tooling, optimization) and analytics work (business questions, dashboards, deep-dive analysis).
Ability to communicate with both engineers and business stakeholders in clear language.
At Staff level: shape data and tooling strategy, influence cross-team architecture, and raise the engineering and data bar.