Hiring.Camp

Data Analyst - 6 months contract (No relocation)

Rocketmiles

·

2 days ago

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Location
Bangkok · Bangkok, Thailand
Type
Contract
Department
Rocket Travel - Product
Visa
Not sponsored
Source
Greenhouse

Description

Overview: 

We are looking for analysts to join the largest and fastest growing online hotel booking platform in Asia based in Bangkok, Thailand. Agoda is a strongly data driven organization: as a Senior Data Analyst, your insights will impact strategic and tactical decisions driving business growth. 

Responsibilities:   

You will work in the Data Analytics team to deliver significant and action-oriented analyses and recommendations to your stakeholders, to help drive decision-making with insights from customer data analysis. 

Your work will be project-oriented, since you will get the opportunity to own analytical projects, starting from understanding stakeholder needs and problem definition, to the analysis and interpretation of results as well as communicating the findings to the Operational teams or other groups in Agoda (Marketing, Product, Partners Services). Typical analysis projects can be: 

  • Predictive modeling, e.g. of customer wait times or future call demand 
  • Segmentation of customers based on differing usage patterns of our customer service 
  • Design and implementation of new dashboards for business users

Responsibilities are: 

  • Work with stakeholders to understand their business needs and identify opportunities for analysis insight to inform their decision-making 
  • Understand and report to your team and senior management on business performance 
  • Ensure delivery of regular reports on time and without error 
  • Self-manage delivery of analytical projects  
  • Defining the business problem 
  • Determining the analytical approach 
  • Efficiently extract relevant data 
  • Appropriately use statistical and data analysis techniques 
  • Sharing your findings using impactful data visualizations and efficient communication 
  • Balance multiple priorities, updating stakeholders on progress and expected delivery 
  • Encourage and train department members in best practice use of Agoda data, analysis techniques and interpretation 

Qualifications and Experience 

  • Bachelor’s degree in computer sciences, engineering, mathematics, statistics, data science or a related degree program with outstanding academic results 
  • Freshers until 2 years of relevant experience, preferably working with large datasets and experimentation 
  • SQL proficiency required: can extract data from large databases using SQL to develop data queries 
  • Excellent problem-solving skills including the ability to analyze and resolve complex problems 
  • Expert Excel user: able to understand and build complex spreadsheets 
  • Strong business sense 
  • Excellent communication and comprehension skills: confident communicating with people of differing levels of seniority, analytical understanding and from a wide variety of backgrounds 
  • Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines 
  • Fluent in English both spoken and written – additional languages are a plus 

Attitude 

  • Curious, proactive, practical and solution-oriented with “Get it done!” attitude 
  • Data savvy and love crunching numbers: love the idea of working in an international and multicultural company, analyzing billions of actions from millions of travelers choosing from thousands of hotels 
  • Interested in telling an impactful story with analysis and smart data visualization, not just number crunch 
  • Able and willing to share your opinion and propose ideas to improve operations based on data and have an impact on the customer experience 
  • Able to work in a highly multi-cultural team 
  • Attentive to detail and committed to data integrity 
  • Aware of the importance of discretion, confidentiality, and ethical behavior 

Good to have (but not required) 

  • Experience in management consulting(Internship or Full time stint)
  • Expert in one data analysis package, such as R or Python 
  • Experience with dashboarding / visualization software like Tableau 

 

 

Diversity at Rocket Travel by Agoda

Rocket Travel by Agoda is dedicated to creating a diverse, equitable, and inclusive workplace where everyone has the opportunity to reach new heights in their career. We encourage all applicants looking to expand their knowledge working alongside talented, dedicated colleagues to apply to our team. 

 

Note on general employment requirements

Candidates should be authorized to accept employment in the US from any employer and must be able to work a hybrid work schedule with 2-3 days per week in the stated physical office (unless otherwise indicated).

 

Equal Opportunity Employer  

At Rocket Travel by Agoda, we pride ourselves on being companies 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 Rocket Travel by Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunities 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 Rocket Travel by Agoda’s privacy policy. Find our applicant policy here: https://www.rockettravel.com/privacy-policy

 

E-Verify Program Participant

We are an E-Verify employer – meaning that your Form I-9 information will be provided to the federal government to confirm that you are authorized to work in the U.S.

For more information, please view: E-Verify Participation Poster (English/Spanish) and IER Right to Work Poster (English/Spanish)

 

Skills

PythonSQLData ScienceExcelTableauCustomer Service

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