Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided)

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.

Overview:

The Agoda Content department is currently looking for a curious and questioning self-starter and proactive analyst, who will help drive decision making with insights from content, marketing and partner performance data.

You will get the opportunity to own analytical projects to direct our department’s focus, and prioritize our actions. By joining Agoda, you will become part of a truly international team, with leading experts of different backgrounds coming from 50+ countries around the world. This is a genuine opportunity to gain valuable experience in a challenging and cutting-edge tech environment. The ideal candidate would have a passion for high-converting content, great user-experience, data and analysis tools and methods. This position reports to the Associate Director of Content Operations, in Bangkok, Thailand.

Main responsibilities:

• Understand Content goals and KPIs and be able to align reports and insights based on them. Identify and investigate trends, anomalies and opportunities to improve Agoda’s Content strategy.
• Identify content opportunities that drive customer value, bookings and conversion
• Help build business cases around the opportunity and get buy-in from stakeholders
• Ensure appropriate data/tools/dashboards to measure execution and enable deeper analysis
• Track execution and report up in regular updates
• Work with product, data/BI team and IT to create data resources and build appropriate reporting
• Work with Content team leads to understand their business needs and identify opportunities in terms of team actions prioritization and focus.
• Use multiple data sources to report Content projects insights and impact; support Content tests and experiments.
• Encourage and train the Content team in best practice use of Agoda data, analysis techniques and interpretation.
• Coordinate with other Cross Functional departments like Analytics, Partner Services, and Product Owners
• Use Web-Analytics for Research and Analysis

Requirements:

• Bachelor degree or higher
• 2+ years of relevant experience
• Experience / knowledge in statistics, SQL, Python/R, Tableau and advanced Excel – required
• Ability to demonstrate data manipulation using data warehouse and create meaningful insight and visualization
• Experience / knowledge in Vertica and / or Impala – advantage
• Experience in generating data and / or preparing experiments for product development – advantage

Professional characteristics:

• Attentive to detail and committed to data integrity
• Keen and curious nature; able and willing to share your opinion
• Organized; able to manage multiple, competing priorities and deliver results under tight deadlines
• Able to communicate effectively; fluent in English – both spoken and written

#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