Credit Risk & Collection Data Analyst (Bangkok-based)

Bangkok

Full Time Senior-level / Expert USD 50K - 85K *

About Agoda 

Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.

Get to Know our Team: 

Agoda has taken many great strides in recent years, expanding our reach around the globe as well as our list of travel products. A critical driver to this success has been the team of Agoda Finance. We keep a steady hand on maintaining day-to-day financial operations while also keeping an eye out for future opportunities. Not only do we have the unique role of balancing risk management with continued innovation and growth, we also serve as a means of empowerment for both our team members and those within the company. Having experimentation and data analysis deeply ingrained in our culture, we provide the strategic insights Agoda’s business leaders need to push into new territories in sustainable and scalable ways. We also prioritize career development in Agoda Finance. Every function within the team has a well-defined career track with clear goals and development targets each step of the way. 

The Opportunity:

At Credit Risk and Collections (“CRC”) in Finance, we are proud to be the gatekeepers of Agoda’s money. Our job is two-fold; help decide who Agoda should advance money to and how to collect what we are owed. As part of this, CRC assesses and manages Agoda’s counterparty credit risk, collects payments and tax invoices for select products globally while also managing relationships with Agoda’s global risk solution providers and debt collection agencies.

Credit Risk and Collections function is looking for Data Analysts to work alongside with business stakeholders on operational innovations and projects that facilitate the availability of actionable data to drive strategic direction. You will be integral in the design and implementation of reliable and actionable business intelligence & automation solutions that enable improved efficiency and accuracy.

 

work on various aspects of chargeback and collection including but not limited to processing chargebacks and disputes at scale through the Mastercard infrastructure, data management, preparation of MIS reports and working on collection related back office activities.

In this Role, you’ll get to: 

  • Work as a part of the Credit Risk & Collections Data Analytics function in Finance.
  • Work on building data sets and providing data visualization with a mindset to optimize recovery of money and employ problem solving skills to troubleshoot issues
  • Design and create data tools to automate manual processes 
  • Work directly with your stakeholders to gather business requirements 
  • Make data easily accessible for users through dashboards and report automation 
  • Drive self-service business intelligence by empowering users to adopt existing BI tools (Tableau, Metabase) 
  • Capitalize on data by transforming it into business insights which will contribute to making business decisions 
  • Optimize the flow of report generation  

What you’ll Need to Succeed:

  • Working experience in Business Intelligence or Analytics roles 
  • Strong SQL proficiency
  • Working knowledge of data visualization tools such as Tableau, Power BI etc. 
  • Excellent verbal and written communication, problem-solving skills, and the ability to make decisions based on logical reasoning.
  • Adept in data analysis, deriving insights and MIS reporting 
  • You are a highly disciplined, proactive, innovative, and naturally inquisitive person. 
  • You are driven by achieving measurable, impactful results. 
  • You are able to prioritize your work based on business impact 
  • Ability to work independently and to adapt to a fast-paced working environment Exhibit proactive approach and personal ownership. Must be result oriented and have the ability to work under pressure under tight deadline
  • Assist in special projects and ad-hoc assignments, upon request

It’s Great if you have:

  • A degree in Business Information Systems, Computer Science or Data Science. Alternative degrees with the right experience and skill set are also acceptable. 
  • Basic financial and payment system literacy with the ability to understand collection and chargeback infrastructure would be a great to have.
  • Experience in managing process transformations/operational excellence programs 
  • Experience in tech, eCommerce, consultancy 
  • Working knowledge of statistical computer languages to perform advanced analytics and automation (Python, R) would be a plus.

#kualalumpur #manila #jakarta #bangkok #thailand

Equal Opportunity Employer 

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

#LI-Hybrid

* Salary range is an estimate based on our salary survey at salaries.ai-jobs.net

Tags: Business Intelligence Credit risk Data analysis Data Analytics Data visualization Finance Power BI Python R SQL Tableau

Perks/benefits: Career development Team events

Region: Asia/Pacific
Country: Thailand
Job stats:  5  1  0
Category: Analyst Jobs
  • Share this job via
  • or

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.