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Skills:

Data Analysis, SAS, SPSS, English

Job type:

Full-time

• Experimentation and optimizing campaign performance: Experiment with pricing strategies on different traffic and segments. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap.
• Reporting, analysis and insights: Building dashboards to track performance, derive i ...
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Experience in digital marketing.
• Academic research experience.
• Please review our Hiring Process Guidelines before your interview click hereto learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
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• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

SQL, Python, SAS

Job type:

Full-time

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment..

Experience:

3 years required

Skills:

Data Analysis, Tableau, Power BI, English

Job type:

Full-time

• Drive premium growth by identifying and pursuing new business opportunities aligned with team targets.
• Perform underwriting activities in accordance with company policies, guidelines, and risk appetite.
• Provide underwriting support across distribution channels (Brokers - local international, Bank partners, Agency, and other partnerships).
• Review and prepare renewal quotations based on current terms conditions, reinsurance allocation, and loss experience.
• Structure competitive insurance solutions, including facultative reinsurance placements when required.
• Review policy wordings, endorsements, and reinsurance closings before policy issuance.
• Coordinate effectively with internal teams and external stakeholders to ensure smooth operations and service delivery.
• Recommend process improvements to enhance efficiency, service quality, and overall team performance.
• Maintain strong client relationships and provide professional advisory support.
• Continuously develop technical knowledge and underwriting expertise.
• Qualifications ExperienceBachelor's degree in any discipline.
• Minimum 3 years of experience in underwriting, preferably in Commercial Non-Motor (Property Miscellaneous).
• Strong understanding of general insurance principles and underwriting practices.
• Experience in analysing data, including risk assessment, forecasting, and projections.
• Exposure to client-facing or business support roles is an advantage.
• Nice to have / Preferred SkillsAbility to collaborate effectively across teams and business functions.
• Knowledge of data analysis and visualization tools (e.g., Tableau, Power BI, QlikView, SAS).
• Proficiency in presentation tools (PowerPoint, Prezi, Visme).
• Strong customer relationship management skills.
• Good command of English communication and presentation.
• Familiarity with AI tools (e.g., ChatGPT, Microsoft Copilot) is a plus.
• Why Join Us
• At Allianz Ayudhya, you will be part of a dynamic team where innovation, collaboration, and continuous learning are encouraged. This is an excellent opportunity to further develop your underwriting expertise while contributing to business growth in a leading insurance company.
• Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of ethnicity or cultural Internal background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Skills:

Automation, Statistics, Excel

Job type:

Full-time

• Prepare and maintain portfolio data, MIS reports, and dashboards.
• Analyze portfolio performance, credit quality, and risk indicators.
• Provide insights to support business and management decisions.
• Improve reporting processes through automation and digital solutions.
• Support data migration, transformation, and system enhancement initiatives.
• Coordinate with stakeholders across Business, Risk, Operations, and IT.
• QualificationsBachelor's degree in IT, Statistics, Finance, Economics, Business, or related fields.
• Minimum 5 years' experience in MIS, Data Analytics, Credit Risk, Portfolio Management, or related areas.
• Banking or financial services experience preferred.
• Strong Excel and reporting skills; SQL knowledge required.
• Experience with Power BI, Tableau, SAS, Python, or similar tools is a plus.
• Understanding of Commercial Banking, Credit Risk, or Lending.
• Strong analytical, communication, and stakeholder management skills.
• Experience in BI, automation, AI, data transformation, or system implementation projects is an advantage.
• Only shortlisted candidates will be contacted.
• (https://krungsri.com/b/privacynoticeen).
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
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• Talent Acquisition Department.
• Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.