Pricing Analyst (Bangkok Based, relocation provided) at Agoda

Bangkok, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

0.0

Posted On

05 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Excel, SQL, Numerical Reasoning, Problem Solving, Data Analysis, Predictive Modeling, English Communication, Python, R, SAS, SPSS, VBA, Tableau, Digital Marketing, Business Intelligence, Data Visualization

Industry

Software Development

Description

About Agoda 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 Flights Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing - Flight Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. In this Role, you’ll get to: Be heavily involved in growing our Flights business Experiment with various pricing strategies on Agoda and Metasearch to grow the business Analyze massive amounts of data generated in experiments, build dashboards, and develop predictive models Work with diverse stakeholders to arrive at investment plans for markets and channels What you’ll Need to Succeed: Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science) Ability to communicate fluently and succinctly in English Good numerical reasoning skills Strong problem solving skills Proficiency in Excel and SQL Intellectual curiosity It’s Great if you Have: Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL Experience in digital marketing STRA#ANLS#MRKT#3#LI-TR2 #Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #MexicoCity #Phoenix #Detroit #Lisbon #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Fortaleza #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server #flight #pricing Please review our Hiring Process Guidelines before your interview — click here to 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 YouTube https://www.youtube.com/agodalife 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.

Responsibilities

The role involves experimenting with pricing strategies on Agoda and Metasearch to drive business growth. You will analyze large datasets to build dashboards, develop predictive models, and collaborate with stakeholders on investment plans.