Associate Manager/ Manager - Flights Marketing (Bangkok-based, relocation provided)

Agoda Company Pte. Ltd.

Montreal

Hybrid

CAD 70,000 - 110,000

Full time

2 days ago
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Job summary

Agoda is seeking a data-savvy analyst to drive insights for the Flights vertical. You will design experiments, analyze large datasets, and translate findings into actionable strategies across channels. You will work with marketing, product, and supply teams to identify opportunities and measure impact.

Ideal candidates have 5–7 years in data analysis, strong SQL/Tableau/MS Excel skills, and excellent communication. A marketing background and Python/R knowledge are a plus.

Qualifications

  • 5–7 years in Data Analyst roles or big data projects.
  • Proficient in BI tools and data warehouses (SQL, Tableau, MS Excel).
  • Strong analytical skills to translate data into actionable insights and recommendations.
  • Excellent written and verbal communication, with ability to present findings clearly.
  • Stakeholder management, including communicating with Senior Management.

Responsibilities

  • Set Marketing strategy for Flights verticals (outside of pricing).
  • Spearhead development, execution, and optimization strategy for growing Agoda’s Flights business across channels.
  • Conduct end-to-end analysis of large, complex datasets; translate data into insights.
  • Develop hypotheses, design experiments (A/B tests), and evaluate campaign effectiveness.
  • Partner with Marketing Accommodation, Flights product and flights supply to analyze data and interpret trends.
  • Communicate findings and strategic recommendations to stakeholders.

Skills

Analytical thinking
Stakeholder management
Communication skills
Problem solving

Education

Bachelor’s degree in CS/Statistics/Math/Engineering/Economics and Finance

Tools

SQL
Tableau
MS Excel
Python

Job description

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 ourTeam:

The Performance 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 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 getter:

  • Set Marketing strategy for Flights verticals (outside of pricing)
  • Spearhead the development, execution, and optimization strategy for growing Agoda’s Flights business on different channels
  • Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights
  • Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth
  • Partner closely with various business functions, especially Marketing Accommodation, Flights product and flights supply, to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools such as SQL or Tableau
  • Communicate complex findings, performance updates, and strategic recommendations clearly and concisely to key stakeholders, including senior management

Whatyou’ll need to succeed:

  • Extensive Experience : 5-7 years in Data Analyst position or otherwise in projects involving big data — preferably in the tech, e-commerce, or digital marketing industry.Bachelor’s degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus.
  • Data-Driven Approach: Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations.Proficient in business intelligence tools and datawarehouse i.e. SQL, Tableau and MS Excel
  • Innovative Problem-Solving Skills : The ability to tackle complex challenges in a non-linear fashion is essential. We seek a resourceful candidate who can effectively navigate the organization to gather necessary information and implement innovative solutions while adapting to evolving scenarios and leveraging valuable resources creatively.
  • Strong Communication Skills: Exceptional writing and verbal communication abilities, with proficiency in creating impactful and visually appealing presentations.
  • Stakeholder management : Ability to effectively communicate, influence and persuade with different levels of stakeholders (including Senior Management) with proven strong commercial acumen

It’s great if you have:

  • Experience in digital or social media marketing
  • Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis.

#London #Paris #Berlin #Warsaw #Dublin #Zurich #StLouis #Cracow #Prague #Budapest #Manchester #Rome #Brussels #Frankfurt #Copenhagen #Wroclaw #Munich #Milan #Barcelona #Johannesburg #Bengaluru #Delhi #Hyderabad #PunePimpriChinchwad #Mumbai #Chennai #Singapore #Noida #Randstad #Jakarta #Kolkata #Manila #KualaLumpur #Shanghai #TelAviv #HongKong #Bangkok #Ahmedabad #Coimbatore #SouthKorea #Vietnam #NewYorkCity #SanFranciscoBay #DallasFortWorth #WashingtonDCBaltimore #Chicago #LosAngeles #Atlanta #Boston #Seattle #Austin #Charlotte #Philadelphia #Houston #Denver #Phoenix #MinneapolisStPaul #Nashville #Pittsburgh #KansasCity #Detroit #Vancouver #Montreal #SanDiego #TampaBay #Portland #Orlando #Columbus #SaltLakeCity #Cleveland #Cincinnati #Indianapolis #Toronto #SaoPaulo #Chile #BuenosAires #RioDeJaneiro #Peru #Colombia #SaudiArabia #UAE #Nigeria #CostaRica #Calgary #BeloHorizonte #Campinas

#Travel #Tech

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