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Agoda

<div>
 
 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&rsquo;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&rsquo;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:
 
 
 
 <ul>
 <li>
 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&rsquo;s Content strategy.
 </li>
 <li>
 Identify content opportunities that drive customer value, bookings and conversion
 </li>
 <li>
 Help build business cases around the opportunity and get buy-in from stakeholders
 </li>
 <li>
 Ensure appropriate data/tools/dashboards to measure execution and enable deeper analysis
 </li>
 <li>
 Track execution and report up in regular updates
 </li>
 <li>
 Work with product, data/BI team and IT to create data resources and build appropriate reporting
 </li>
 <li>
 Work with Content team leads to understand their business needs and identify opportunities in terms of team actions prioritization and focus.
 </li>
 <li>
 Use multiple data sources to report Content projects insights and impact; support Content tests and experiments.
 </li>
 <li>
 Encourage and train the Content team in best practice use of Agoda data, analysis techniques and interpretation.
 </li>
 <li>
 Coordinate with other Cross Functional departments like Analytics, Partner Services, and Product Owners
 </li>
 <li>
 Use Web-Analytics for Research and Analysis
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor degree or higher
 </li>
 <li>
 2+ years of relevant experience
 </li>
 <li>
 Experience / knowledge in statistics, SQL, Python/R, Tableau and advanced Excel &ndash; required
 </li>
 <li>
 Ability to demonstrate data manipulation using data warehouse and create meaningful insight and visualization
 </li>
 <li>
 Experience / knowledge in Vertica and / or Impala &ndash; advantage
 </li>
 <li>
 Experience in generating data and / or preparing experiments for product development &ndash; advantage
 
 
 </li>
 </ul>
 
 Professional characteristics:
 
 
 
 <ul>
 <li>
 Attentive to detail and committed to data integrity
 </li>
 <li>
 Keen and curious nature; able and willing to share your opinion
 </li>
 <li>
 Organized; able to manage multiple, competing priorities and deliver results under tight deadlines
 </li>
 <li>
 Able to communicate effectively; fluent in English &ndash; both spoken and written
 
 
 </li>
 </ul>
 #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 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 &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 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&rsquo;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&rsquo;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.
 
 
</div>

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

<div>
 
 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&rsquo;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:
 
 
 
 <ul>
 <li>
 Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding&amp; 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.
 </li>
 <li>
 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
 </li>
 <li>
 Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science)
 </li>
 <li>
 Excellent verbal and written communication skills in English
 </li>
 <li>
 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company
 </li>
 <li>
 Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI
 </li>
 <li>
 Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel
 </li>
 <li>
 Innate desire to take ownership, make an impact and influence outcomes
 </li>
 <li>
 Excellent organizational skills, attention to detail and ability to work independently
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Experience in digital marketing or ecommerce
 </li>
 <li>
 Experience with A/B testing and other testing metrics
 </li>
 <li>
 Strong presentation and negotiation skills
 </li>
 <li>
 Skills that foster collaboration and team spirit
 
 
 </li>
 </ul>
 #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 &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 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&rsquo;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&rsquo;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.
 
 
</div>

Analyst & Senior Analyst- Pay Per Click, Marketing (Bangkok Based, relocation provided)

<div>
 
 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&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get To Know Our Team
 
 
 
 The People Team is a purveyor of opportunity, searching the globe for the most talented individuals and offering them an open, collaborative workplace. By prioritizing skill and potential, we have cultivated a powerful assembly of professionals through our drive for equal opportunity and diversity. We make the move to Agoda a breeze with assisted onboarding programs, and we continue to support and enrich our thousands of Agoda employees through individual growth with outstanding learning programs and various means of assistance. Our development of incredible benefits has ensured everyone can stay strong, healthy, and happy during their time at Agoda. Leading ambitious changes and making a positive impact in the lives of our employees, the People Team is a crucial and rewarding part of the Agoda family.
 
 
 The data analyst will contribute to the Forecasting and Budgeting process for Workforce Planning and progressive improvement of the tools and capabilities of the team. This role collaborates closely with Finance and People team stakeholders that planning is aligned with Agoda&rsquo;s strategic goals and budget preparation. The rapid growth of the business and the increasing complexity driven by new launches and services make this an exciting, and challenging proposition.
 
 
 <ul>
 <li>
 Deliver reports and impactful insights to the operational Budgeting and Workforce planning
 </li>
 <li>
 Partnering with P&amp;A and People team stakeholders
 </li>
 <li>
 Become familiar with processes and technology in support of Analytics products
 </li>
 <li>
 Bachelor&rsquo;s degree required
 </li>
 <li>
 At least 2-3 years of experience as data /reporting analyst with SQL querying proficiency
 </li>
 <li>
 High level of discretion, confidentiality and ethics
 </li>
 <li>
 Ability to work well with employees in a highly multi-cultural environment
 </li>
 <li>
 Strong attention to detail and accuracy
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Be self-driven with strong ability to analyze and resolve complex problems
 </li>
 <li>
 Experience with Tableau visualization
 </li>
 <li>
 Experience with Vena software
 </li>
 <li>
 Workforce planning and Budgeting experience
 
 
 </li>
 </ul>
 #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 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 &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 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&rsquo;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&rsquo;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.
 
 
</div>

People Data Analyst(Bangkok based, relocation provided)

<div>
 
 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&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to Know our
 
 
 Team:
 
 
 
 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&rsquo;ll get
 
 
 to:
 
 
 
 <ul>
 <li>
 Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
 </li>
 <li>
 Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
 </li>
 <li>
 Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to
 
 
 Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science)
 </li>
 <li>
 Ability to communicate fluently in English
 </li>
 <li>
 2+ years&rsquo; experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company
 </li>
 <li>
 Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL
 </li>
 <li>
 Good numerical reasoning skills
 </li>
 <li>
 Proficiency in Excel
 </li>
 <li>
 Intellectual curiosity
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you
 
 
 Have:
 
 
 
 <ul>
 <li>
 Experience in digital marketing
 </li>
 <li>
 Academic research experience
 
 
 </li>
 </ul>
 #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 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 &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 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&rsquo;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&rsquo;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.
 
 
</div>

Analyst/ Sr Analyst, Pricing, Marketing (Bangkok Based, relocation provided)

<div>
 
 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&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.
 
 
 
 Get to Know Our Team
 
 
 
 The Engineering department oversees all Agoda&rsquo;s ML and software related requirements. Our goal is to enable and increase Agoda&rsquo;s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
 
 
 
 Why Agoda Engineering Team (ML role)?
 
 
 
 Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API&rsquo;s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
 
 
 
 This role is based in Gurgaon, India.
 
 
 
 
 In this Role, you will get to:
 
 
 
 <ul>
 <li>
 Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes.
 </li>
 <li>
 Build, administer and scale ML processing pipelines.
 </li>
 <li>
 Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
 </li>
 <li>
 Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc
 </li>
 <li>
 Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
 </li>
 <li>
 Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
 </li>
 <li>
 We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll need to Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science /information systems/engineering/related field
 </li>
 <li>
 8+ years of experience in software engineering with a minimum of 4+ years in ML
 </li>
 <li>
 Good experience in Pyspark
 </li>
 <li>
 Expert level understanding of Python with design patterns and object-oriented programming.
 </li>
 <li>
 Experience debugging and reasoning about production issues is desirable.
 </li>
 <li>
 A good understanding of data architecture principles preferred.
 </li>
 <li>
 Any other experience with Big Data technologies / tools
 </li>
 <li>
 SQL experience
 </li>
 <li>
 Analytical problem-solving capabilities &amp; experience.
 </li>
 <li>
 Systems administration skills in Linux
 </li>
 <li>
 A strong engineering driven mindset will be required to succeed in this role.
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Good understanding of Hadoop ecosystems
 </li>
 <li>
 Experience working with Open-source products
 </li>
 <li>
 Experience with Scala development
 </li>
 <li>
 Working in an agile environment using test driven methodologies
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Hybrid Working Model
 </li>
 <li>
 WFH Set Up Allowance
 </li>
 <li>
 30 Days of Remote Working from anywhere globally every year
 </li>
 <li>
 Employee discount for accommodation globally
 </li>
 <li>
 Global team of 90+ nationalities
 </li>
 <li>
 40+ offices and 25+ countries
 </li>
 <li>
 Annual CSR / Volunteer Time off
 </li>
 <li>
 Benevity Subscription for employee donations
 </li>
 <li>
 Volunteering opportunities globally
 </li>
 <li>
 Free Headspace subscription
 </li>
 <li>
 Free Odilo &amp; Udemy subscriptions
 </li>
 <li>
 Access to Employee Assistance Program (third party for personal and workplace support)
 </li>
 <li>
 Enhanced Parental Leave
 </li>
 <li>
 Life, TPD &amp; Accident Insurance
 
 
 </li>
 </ul>
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 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 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&rsquo;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&rsquo;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.
 
 
</div>

Staff Machine Learning Engineer (India based, relocation provided)

EVA Pharma

<div>Limitless Naturals is a fast-growing wellness brand that has been serving the Egyptian market&mdash;and beyond&mdash;since 2020. Specializing in food supplements, multivitamins, and sports nutrition, we offer a diverse range of high-quality, science-backed products that support healthier, more active lifestyles.
Our brand was born from a belief that everyone deserves access to effective, trustworthy wellness solutions&mdash;and we&rsquo;ve been on a mission ever since to empower individuals to live at their fullest potential. With a keen eye on global trends and consumer needs, we pride ourselves on our agility, our ability to capture emerging health movements early, and our commitment to staying ahead of the curve.
Job Summary:
We are seeking a passionate and talented Consumer &amp; Market Insights Manager to join our dynamic team.
The Insights &amp; Business Intelligence Manager will deliver decision-grade insights that shape innovation choices and strengthen portfolio decisions across markets. The role ensures that recommendations are grounded in real consumer and HCP needs, validated evidence, market attractiveness, and cross-country opportunity sizing.
Key Responsibilities:
Decision-Making Responsibilities<ul><li>
Lead interpretation and synthesis of market, consumer, competitive, and performance data.</li><li>
Define the analytical scope and evidence required to support innovation and portfolio decisions.</li><li>
Determine whether existing evidence is sufficient or if additional data collection is required.</li></ul>
Market &amp; Opportunity Intelligence<ul><li>
Lead opportunity sizing and market attractiveness assessments for Egypt, KSA, UAE, and other priority markets.</li><li>
Conduct deep-dive analysis of pharmaceutical and FMCG datasets to identify growth spaces, unmet needs, competitive dynamics, and category trends.</li><li>
Integrate multiple data sources (IQVIA, FMCG datasets, retailer data, scientific trends, claims evolution, pricing landscapes) Identify category trends, unmet needs, competitive dynamics, claims evolution, and scientific signals.</li><li>
Define and document consumer and HCP problem statements based on insight-driven evidence.</li><li>
Prepare opportunity sizing reports and strategic insight summaries that support idea evaluation and prioritization.</li></ul>
Portfolio-Level Insight &amp; Cross-Market Comparability<ul><li>
Build and maintain a cross-market opportunity map showing relative value, risk, and scale potential across categories and countries.</li><li>
Provide insight-driven scenarios that support effective portfolio trade-offs.</li><li>
Maintain a single source of validated market facts to ensure consistency across Markets</li><li>
Deliver insight summaries that clarify relative value, risk, scalability, and competitiveness.</li></ul>
Post-Launch Intelligence &amp; Performance Analytics<ul><li>
Lead post-launch performance analysis using sales trends, IQVIA trends, consumption patterns, retailer/HCP feedback, and digital/consumer signals.</li><li>
Compare actual launch performance to objectives and identify risks, gaps, and opportunities.</li><li>
Provide clear recommendations on how to scale, optimize, or adjust launched brands across markets.</li><li>
Ensure structured learnings from post-launch reviews are captured and integrated into future innovation and portfolio decisions.</li></ul>
Insight Agenda Ownership &amp; Evidence Standards<ul><li>
Own the insight agenda and define key insight questions required to support innovation, portfolio, and launch decisions.</li><li>
Determine what evidence is decision-critical vs. optional and when existing data is sufficient vs. when new research is required.</li><li>
Recommend, design, or coordinate consumer/HCP research (qualitative or quantitative) when additional insight is required.</li><li>
Translate complex analytics into simple, actionable business implications for senior stakeholders.</li></ul> 
Requirements 
<ul><li>
Bachelor&rsquo;s degree in Business or related field. Specialized certifications in analytics/BI are a plus.</li><li>
3+ years of experience in insights, analytics, marketing science, category analysis, or business intelligence roles.</li></ul><ul><li>
Strong background in pharmaceutical, nutraceutical, OTC, or FMCG sectors.</li><li>
Strong command of IQVIA, FMCG datasets, retailer data, or FMCG consumer insight platforms.</li><li>
High proficiency in Excel, Power BI, dashboards, and data modeling.</li></ul><ul><li>
Experience conducting or managing consumer/HCP research (qualitative or quantitative).</li><li>
Knowledge of analytics tools, SQL basics, or BI systems.</li></ul></div>

Consumer and Market Insights Manager - Limitless Naturals

<div>Company Overview 
Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.
Job Summary 
We are seeking a passionate and talented Mid Level Python Backend Developer (AI Focus) to join our dynamic team. The 
ideal candidate will contribute to our mission of enhancing human health and well-being, 
ensuring that we meet the highest standards of excellence in our industry.
Key Responsibilities:<ul><li>
Backend Development: Assist in developing and maintaining RESTful APIs and microservices using Python frameworks (FastAPI, Django, or Flask) to support internal tools and customer-facing applications.
</li><li>AI Model Integration: Collaborate with Data Scientists to expose machine learning models and LLMs via APIs and support architectures for Retrieval-Augmented Generation (RAG) and other GenAI workflows.
</li><li>Database Management: Write efficient SQL queries and support the maintenance of data schemas for relational (PostgreSQL, SQL Server) and NoSQL databases under senior guidance.
</li><li>Code Quality &amp; Debugging: Write clean, maintainable, and well-documented code, troubleshoot issues, and follow best practices to ensure system reliability and data security.
</li><li>Collaboration &amp; Continuous Learning: Work closely with frontend and DevOps teams to integrate features, gain exposure to CI/CD pipelines and Docker, and continuously learn emerging backend and AI technologies (e.g., LangChain).</li></ul> 
Requirements 
<ul><li>
Education: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</li><li>
Experience: &gt;2 years of experience in backend software development (Internships, personal projects, and capstone projects count).</li><li>
Technical Proficiency: Working knowledge of Python and SQL. Familiarity with modern web frameworks such as FastAPI, Flask, or Django.</li><li>
Cloud &amp; Tools: Understanding of cloud concepts (Azure/AWS) and containerization (Docker). Experience with version control (Git) is essential.</li><li>
Soft Skills: Strong logical thinking and problem-solving abilities, a proactive &quot;eagerness to learn&quot; mindset, and good communication skills to work effectively within a cross-function</li></ul></div>

Mid Level Python Backend Developer (AI Focus)

Explore 128+ Data analyst statistics python bi bangkok based relocation provided in Giza this May. Find roles across top companies and apply now to boost your career.