Senior Analyst- Customer Marketing (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

Hadoop, SQL, Tableau, Statistics, Data Processing, A/B Testing, Python, R, Data Analysis, Customer Segmentation, Data Visualization, Business Intelligence, Regression Analysis, Data Cleaning, Normalization, Customer Marketing

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. The Opportunity: The Customer Marketing Team is looking for a Analyst/ Senior Analyst who is ready to help us take our Channels performance to the next level. As an Analyst/ Sr.Analyst, CRM you will be working with all kind of customer, traffic and engagement data to deliver insights that will shape the Strategy of our team and to help us collect and understand Agoda’s Customer’s needs, desires and behaviour. Some typical questions that we are trying to answer are: What do customers care about the most, and what drives them to action? How can we best address it? How do we define that a Customer is Engaged? And what’s the correlation between Engagement and LifetimeValue? What kind of behaviour are predictive of the value of a customer? Can we get more customers to show it, and how? Is there a right sequence of information to deliver? What is the best channel for each customer and campaign? And how often can/should we get in touch? What should the message look like? In this Role, you’ll get to: Analyze: new ideas come from data and tests. Segment the userbase, understand their patterns, react to change in demand and identify new opportunities to deliver value. Test: prove your findings by A/B testing changes to any of our communication products. Define your hypothesis, design the framework, launch the campaign, collect and analyze the results of large scale, quick delivery tests. Innovate: Learn and develop new features, develop models we can use for optimization, build business cases for completely new implementations, and help us push the boundaries a little further every day. This role is good for you if you: Are naturally curious, with a focus on value: deliver all kind of insights, prioritizing by impact Value independence and ownership: you will get goals and projects, not so much tasks Have the ambition to make a difference: innovation and drive are necessary to succeed Are ready to challenge anything: data matter, not opinions, seniority or common knowledge What you’ll Need to Succeed: A proactive, self-driven, exploratory approach to data At least 2 years of experience in analytically focused positions Good Hadoop/SQL and Tableau knowledge Good knowledge of statistics and data processing practices (calculating p-values, data cleaning and normalization, regressions, etc.) It’s Great if you Have: Experience with Customer Marketing/Customer Behaviour data Working knowledge of Python or R Master’s Degree or higher from top university in a quantitative or marketing subject (statistics, engineering, digital marketing, financial modelling, etc.) #STRA#ANLS#MRKT#3#LI-TR2 #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 #linz #baku #minsk #brussels #antwerp #ghent #charleroi #liege #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 #lisbon #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 #liverpool #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 finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner 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

Analyze customer and engagement data to deliver insights that shape CRM strategy and understand customer behavior. Design and execute A/B tests and develop optimization models to improve channel performance.