Agoda

Based in Asia and part of Booking Holdings, our 6,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration.. The marketing leadership in which Pricing is embedded into have deep experience in data science, product, strategy and have built an organization that thrives on data, creative ideas, and technology.. Partner with various teams to uncover pricing opportunities, analyze and interpret complex data patterns using advanced analytical tools and techniques such as Tableau or Python. Bachelor Degree in Computer Science/Statistics/Math or Engineering or Economics and Finance. Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel

marketing strategy

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 3.6 million accommodations globally. Based in Asia and part of Booking Holdings, our 6,000+ 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. Our Purpose – Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. Get to Know Our Team: The Pricing Team of Agoda is a world leader in Pricing strategy and optimization. This team is highly data-oriented, focusing on developing at-scale pricing models and strategies that improve the lifetime value of Agoda customers through measurable experiments. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership in which Pricing is embedded into have deep experience in data science, product, strategy and have built an organization that thrives on data, creative ideas, and technology. Working in the Pricing Team is an opportunity for growth and learning; 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: <ul><li> Leverage Pricing to tackle top of mind strategic initiatives for C-suite. The team works in a highly visible manner with a data-driven and action-oriented approach. </li><li>Take ownership of pricing projects to end to end, from extracting and exploring data, generating hypotheses, conducting structured analysis, and rigorously evaluating methods and results. </li><li>Deliver analytical insights that drive decision-making for crucial pricing strategies and company leadership actions</li><li>Partner with various teams to uncover pricing opportunities, analyze and interpret complex data patterns using advanced analytical tools and techniques such as Tableau or Python</li><li>Communicate results and propose actionable recommendations to solve pricing challenges </li></ul> What you’ll need to succeed: <ul><li>Bachelor Degree in Computer Science/Statistics/Math or Engineering or Economics and Finance</li><li>5+ years in Data Analyst position or otherwise in projects involving big data</li><li>Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel</li><li>Strong commercial acumen and business judgment</li><li>Strong stakeholder management experience (experience with C-Suites preferred)</li><li>Strong analytical and statistical analysis skills in order to extract insights and recommendations</li><li>Fluent in English with strong communication skills (both written and verbal) </li></ul> It’s great if you have: <ul><li>Experience in R studio, data modeling, hypothesis testing is a plus </li></ul>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis 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 machine learning statistics microsoft power bi java #koreanspeaking#koreanspeakingjob #pricing 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.

START NEW SEARCH