This role is part of the Supply and Demand Planning team, focusing on SPX's daily supply chain planning. The position involves forecasting demand using big data models and managing supply and capacity across teams. The analyst will develop insights and strategies for the SPX Operations Team to address issues in supply chain planning, optimization, human resources, and cost reduction. Additionally, the role requires managing cross-functional teams to ensure the stable growth of the SPX supply chain.
This role involves calculating and summarizing Hub Agent manpower billing costs. The employee must check input data from Operations and Vendor Management, prepare monthly accrued costs, and reconcile inputs with various teams including Operations, Recovery, QA, BI, and subcontractors. The position requires working with OpX counterparts to provide actual MTD costs for planning and variance analysis, and collaborating with internal and external functions to ensure financial process compliance.
This role involves managing SPX's daily supply chain planning by forecasting demand using big data models and managing supply and capacity across teams. The position requires developing insights and strategies for the SPX Operations Team to solve problems related to supply chain planning, optimization, human resources, and cost. Additionally, the role entails managing cross-functional teams to ensure the stable growth of the SPX supply chain.
As a Senior BI Developer, you will be a key individual contributor building trusted data products for Agoda’s technology organization, including curated datasets, metrics, dashboards and visualizations, and scalable data transformations. You will work closely with engineers, engineering managers, team leads, and senior leadership to help the organization make better decisions with data. This role combines analytics, metrics definition, and stakeholder consulting with hands-on data engineering and development
IN THIS ROLE, YOU’LL GET TO
• Act as a partner and consultant to engineering managers and leaders: translate stakeholder and engineering questions into measurable metrics/information such as developer velocity, cost efficiency, and code quality, and keep those definitions consistent across reports.
• Design, build, and maintain ETL/ELT transformations, including Spark/Python workflows and warehouse models, so data is accurate, timely, tested, and fit for reporting. As a Senior, review others’ pipeline and metric work, raise delivery standards, and unblock the team.
• Analyze large datasets with SQL and Python to support engineering and operational decisions.
• Design and maintain dashboards and visual reports so engineering managers and leaders can explore metrics (for example developer velocity, cost efficiency, and code quality) without a ticket for every chart.
• Improve data reliability through validation, quality checks, observability, production troubleshooting, and query performance tuning. Own published metrics: explain filters and grain, flag numbers that should not be trusted, and recommend next steps.
• Use AI tools (for example Cursor, Claude, or similar) to accelerate SQL development, testing, refactoring, analysis, pipeline work, and documentation, and reject unsafe or unverified output before it reaches production or stakeholders.
WHAT YOU’LL NEED TO SUCCEED
• 5+ years in business intelligence, analytics, and/or data engineering, with experience in both stakeholder consulting and hands-on pipeline or data-product work.
• Advanced SQL (joins, window functions, and performance on large datasets).
• Strong Python skills (or similar) for building data pipelines.
• Experience with ETL/ELT and orchestration (for example Kubeflow or similar).
• Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights.
• Experience building dashboards or visual reports for stakeholders.
• Ability to switch context between stakeholder discussions and hands-on technical work — metrics definition/analysis one day, ETL or data modeling the next.
• Practical AI-assisted development: generate, review, test, and own the result. You can explain what you trusted AI to draft and what you verified yourself.
• Clear written and verbal English, and the ability to work independently with engineers and leaders in an agile environment.
IT’S GREAT IF YOU HAVE
• Experience with software-delivery practices such as Agile/Scrum and CI/CD (GitHub Actions, GitLab CI, or similar).
• Interest in developer productivity or engineering analytics.
• Experience with common data platforms / big data technology (e.g., BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar).
• Hands-on experience with visualization or data-serving UIs such as Apache Superset, Tableau, or a lightweight web app.
• Experience building APIs or internal data products beyond dashboards, not only ad-hoc analysis.
• A degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
True Digital Park, Bangkok (Hybrid working)Not specified
**Roles and Responsibilities**
* Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
* Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
* Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
* Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
* Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
* Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
* Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
**Qualifications**
* Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
* Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
* Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
* Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
* Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
* Knowledge of data modeling principles and experience working with SQL databases.
* Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
* Excellent communication and collaboration skills to work effectively with cross-functional teams.
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
**Get to Know our Team:**
The Fintech Commercial team is the glue between external Fintech partners (schemes, PSPs, issuers) and Agoda’s Finance department. We represent the business side of Agoda’s “Pay-in” (Consumer Payments) and “Pay-out” (Business payments) pillars within the Agoda Fintech ecosystem. Together with our Fintech partners and cross-functional stakeholders, we identify and implement payments optimization initiatives, launch new payment methods and drive Fintech innovation across Agoda.
**The Opportunity:**
We are looking for a talented, results-oriented Payments Operations Analyst to join the Agoda finance team. You will:
* Analyze payment partner commercials
* Validate strategic deals and own invoice reconciliation
* Run financial analysis and data-driven insights
* Drive business case development for new fintech initiatives
This is an ideal role for someone with 2–4 years’ experience in Finance, Fintech/Tech, or Consulting industries, who wants exposure to payments partner management at scale.
Successful candidates tend to have strong analytical and data skills and are self-starters who are comfortable working in environments defined by volatility, uncertainty, complexity and ambiguity. In addition, good performers in this role are organized, possess effective interpersonal skills and can successfully partner with cross functional teams in a result-oriented manner.
**In this Role, you’ll get to own:**
**Commercial Operations & Controls**
* Perform monthly reconciliation of fintech partner commercials (PSPs, Payment schemes, etc.) on a timely basis
* Validate partner invoices against contractual terms and transaction-level data
* Ensure reconciliation data pipelines remain accurate and complete by coordinating with BI and external partners
* Be the trusted owner of reconciliation controls, maintaining clear documentation and partnering with stakeholders to ensure smooth audit walkthroughs each cycle
* Maintain documentation trails and process controls in accordance with Finance governance
**What You’ll Need to Succeed:**
**Required**
* Bachelor’s degree in Finance, Accounting, Economics, Business, or related field
* Minimum 2 years of experience in:Consulting (Big4 preferred), Corporate Finance, Fintech / Payments, Commercial Finance or Deal Analytics
* Advanced Excel skills: financial modeling proficiency required
* Analytical mindset with strong quantitative skills
* Detail-oriented with strong internal control awareness
* Good written and verbal communication skills in English
**Preferred**
* Experience in payment ecosystem (PSPs, Payment schemes, etc.)
* Exposure to SQL or data querying tools
* Experience building structured business cases for senior stakeholders
* Experience working cross-functionally in fast-paced environment
* Knowledge of OTA business models (Merchant, Agency, Commission-based etc.)
#### Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works.
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
**Get To Know Our Team:**
Join a small platform team building the next generation of natural-language analytics at Agoda. You will own the governed knowledge layer between our data warehouse and the applications, assistants, and analysts that consume it: metrics, domain context, quality signals, and the APIs that expose them. This is semantic modeling and knowledge engineering, not dashboard reporting or model training.
**The Opportunity:**
* You will design and operate the shared knowledge layer behind conversational analytics at Agoda: turning scattered business knowledge into versioned, reviewable assets that return consistent, current answers.
* You pair with a senior tech lead on product architecture. Your scope is the layer itself (models, context, validation, governance workflows) and how it is exposed through service and agent interfaces.
**What You’ll Do:**
* Model governed metrics, dimensions, joins, and grain for business domains
* Structure expert context, glossaries, and validated question patterns as Git-reviewed assets
* Build freshness, drift, and validation signals; treat stale knowledge as a production issue
* Expose the layer through APIs so applications and agents get deterministic answers
* Enable domain owners to propose, review, and publish knowledge without engineering deploys
* Partner across analytics, product, and platform teams on access control and quality standards
**Required Qualifications:**
* 4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling
* Semantic or metrics-layer experience (LookML, dbt metrics, or equivalent)
* Strong SQL and analytical modeling on OLAP / warehouse systems
* Knowledge engineering: versioned definitions, peer review, contributor workflows
* API / service mindset: you design for multiple consumers, not a single dashboard
* Clear communication across engineering, analytics, and product partners
**Preferred Qualifications:**
* Open-source semantic layer engines (Cube, MetricFlow patterns)
* Agent or tool-interface experience for LLM-powered applications
* NL-to-data products, retrieval, or evaluation harnesses
* Python or Node.js service development
* Large-scale e-commerce or travel analytics environments
