Senior Data Analyst (Product Team) (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

SQL, Python, Tableau, Excel, Data Analysis, Data Visualization, Business Intelligence, Statistical Analysis, Problem Solving, Stakeholder Management, Data Mining, Data Science, Business Analysis, Communication Skills, Analytical Mindset, Project Management

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. Get to Know our Team: In Product, ideas come alive. The world is moving fast so our culture empowers ownership and minimal bureaucracy. That’s the environment that enables you to do what you think is right – and quickly. Product Operations is a large, multicultural team of diversely talented individuals that serve as the curators of Agoda’s content. We manage all the content our customers and partners see on each of our products. As a part of our team, you will take ownership of processes that are critical to multiple other teams across the business. We are driving property-level content to map inventories from 3rd party supplies which will enable our reach to span the globe. Content Operations is also keen on self-improvement and innovation. We run our own structured data and analyze it to make impactful decisions. With the support of state-of-the-art technology and an enriching work environment, we strengthen the bottom line and drive new business for Agoda. The Opportunity: As an Analyst/Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Product Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Product department and work closely with other Team members within Agoda. You will be instrumental in ensuring there is consistency in data being used for reporting, identifying value-added data to help the business grow as well as using data to make strategic business decisions. You will be expected to dig into data to provide business insights, guide decision-making and offer valuable inputs to further grow our business model. In this Role, you’ll get to: Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. Conducted an analysis of customer behavior and their path through the platform, guaranteeing that the conversion rates for each front-end page met the established benchmarks and continually pinpointed opportunities for enhancement. Partnered with the Product Design and User Research team to generate fresh data-driven projects, one of which involved the development of a Dashboard designed for more efficient monitoring of user behavior and the measurement of novel business metrics. Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. Automate manual operational processes and present back on time savings gained through modernization of business operations What you’ll Need to Succeed: Bachelor’s degree or higher in Mathematics, Business, Economics, Data Science, Information Technology or similar field Bachelor’s Degree or higher in computer sciences, engineering, mathematics, statistics, data science or a related degree program. Masters degree preferred. Advanced domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python or similar Analytical mindset, with proven track record in using data to measure performance and make decisions Excellent problem-solving skills including the ability to analyze and resolve complex problems using data Ability to work under pressure in a fast-paced and rapidly changing environment Excellent communication skills (both verbal and written), with proven ability to convey complex messages clearly and with conviction Team player with strong interpersonal, relationship-building, and stakeholder management skills #STRA#ANLS#MRKT#3#LI-TR2 #Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #MexicoCity #Phoenix #Detroit #Lisbon #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Fortaleza #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus 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 #productanalyst #product 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

The role involves translating business briefs into analytical projects to provide strategic insights and guide decision-making. You will analyze large-scale data warehouses to monitor user behavior, automate operational processes, and improve organizational efficiency.