Analyst/Senior Analyst/Associate Manager, Marketing Analytics (Bangkok Based, relocation provided)

Résumé du poste

The role involves optimizing marketing campaign performance through experimentation and predictive modeling to improve customer lifetime value. Responsibilities include building performance dashboards and communicating data-driven insights to stakeholders.

Détails du poste

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 Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe. Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. 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 impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders What you’ll Need to Succeed: Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently It’s great if you have: Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit #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 power bi 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.

Ce que vous ferez

The role involves optimizing marketing campaign performance through experimentation and predictive modeling to improve customer lifetime value. Responsibilities include building performance dashboards and communicating data-driven insights to stakeholders.

Exigences

Candidates need a quantitative degree and at least 2 years of experience in data analysis from consulting, investment banking, or a global tech company. Proficiency in SQL and data analysis tools like Python, R, or Tableau is required.

Compétences indiquées

• Visualisation de données · Souhaitée
• Power BI · Souhaitée
• SQL · Souhaitée
• Tableau · Souhaitée
• Analyse de données · Souhaitée
• Apprentissage automatique · Souhaitée
• Communication Skills · Souhaitée
• Stakeholder Management · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Analysis
• SQL
• Python
• R
• Tableau
• Power BI
• A/B Testing
• Predictive Modeling
• Digital Marketing
• Data Visualization
• Business Intelligence
• Statistics
• Machine Learning
• Communication Skills
• Stakeholder Management
• Experimentation

Domaines d’emploi

• Data & Analytics
• Marketing
• Technology
• Consulting
• Management & Leadership