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bi analyst (supply analytics, bangkok-based, relocation provided) Jobs in Egypt Jobs In Egypt Jobs In Egypt Jobs In Cairo Egypt

bi analyst (supply analytics, bangkok-based, relocation provided)

bi analyst supply analytics bangkok based relocation provided

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.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
 
 
 We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda&rsquo;s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
 
 
 
 The Opportunity:
 
 
 
 As a BI Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply 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 Supply department and work closely with other Team members within Agoda.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <ul>
 <li>
 Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
 </li>
 <li>
 Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
 </li>
 <li>
 Proactively identify opportunities for growth within supply and the wider business.
 </li>
 <li>
 Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
 </li>
 <li>
 Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
 </li>
 <li>
 Automate manual operational processes and present back on time savings gained through modernization of business operations
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <ul>
 <li>
 At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
 </li>
 <li>
 Advanced working knowledge and hands-on experience in SQL
 </li>
 <li>
 Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
 </li>
 <li>
 Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
 </li>
 <li>
 Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
 </li>
 <li>
 Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
 </li>
 <li>
 Experience in conducting A/B testing experimentation
 </li>
 <li>
 Strong experience in finding data insights and provide business recommendation to the business
 </li>
 <li>
 A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
 </li>
 <li>
 Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
 </li>
 <li>
 Data driven in both decision making and performance measurement.
 </li>
 <li>
 Extreme comfort in ambiguous, fast-paced environment.
 </li>
 <li>
 Ability to multi-task, prioritize and coordinate resources.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <ul>
 <li>
 MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
 </li>
 <li>
 Asian market experience.
 </li>
 <li>
 Travel industry / e-commerce / tech / consulting experience.
 
 
 </li>
 </ul>
 #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
 
 
 
 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>

BI Analyst (Supply Analytics, 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.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
 
 
 We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda&rsquo;s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
 
 
 
 The Opportunity:
 
 
 
 As a BI Developer, you will report directly to either the Senior Manager or Associate Director within the Supply 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 Supply department and work closely with other Team members within Agoda.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <ul>
 <li>
 Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
 </li>
 <li>
 Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
 </li>
 <li>
 Proactively identify opportunities for growth within supply and the wider business.
 </li>
 <li>
 Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
 </li>
 <li>
 Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
 </li>
 <li>
 Automate manual operational processes and present back on time savings gained through modernization of business operations
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <ul>
 <li>
 At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
 </li>
 <li>
 Advanced working knowledge and hands-on experience in SQL
 </li>
 <li>
 Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
 </li>
 <li>
 Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
 </li>
 <li>
 Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
 </li>
 <li>
 Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
 </li>
 <li>
 Experience in conducting A/B testing experimentation
 </li>
 <li>
 Strong experience in finding data insights and provide business recommendation to the business
 </li>
 <li>
 A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
 </li>
 <li>
 Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
 </li>
 <li>
 Data driven in both decision making and performance measurement.
 </li>
 <li>
 Extreme comfort in ambiguous, fast-paced environment.
 </li>
 <li>
 Ability to multi-task, prioritize and coordinate resources.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <ul>
 <li>
 MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
 </li>
 <li>
 Asian market experience.
 </li>
 <li>
 Travel industry / e-commerce / tech / consulting experience.
 
 
 </li>
 </ul>
 #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
 
 
 
 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>

BI Developer (Supply Analytics, 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.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
 
 
 We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda&rsquo;s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
 
 
 
 The Opportunity:
 
 
 
 As a Business Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply 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 Supply department and work closely with other Team members within Agoda.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <ul>
 <li>
 Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
 </li>
 <li>
 Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
 </li>
 <li>
 Proactively identify opportunities for growth within supply and the wider business.
 </li>
 <li>
 Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
 </li>
 <li>
 Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
 </li>
 <li>
 Automate manual operational processes and present back on time savings gained through modernization of business operations
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <ul>
 <li>
 At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
 </li>
 <li>
 Advanced working knowledge and hands-on experience in SQL
 </li>
 <li>
 Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
 </li>
 <li>
 Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
 </li>
 <li>
 Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
 </li>
 <li>
 Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
 </li>
 <li>
 Experience in conducting A/B testing experimentation
 </li>
 <li>
 Strong experience in finding data insights and provide business recommendation to the business
 </li>
 <li>
 A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
 </li>
 <li>
 Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
 </li>
 <li>
 Data driven in both decision making and performance measurement.
 </li>
 <li>
 Extreme comfort in ambiguous, fast-paced environment.
 </li>
 <li>
 Ability to multi-task, prioritize and coordinate resources.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <ul>
 <li>
 MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
 </li>
 <li>
 Asian market experience.
 </li>
 <li>
 Travel industry / e-commerce / tech / consulting experience.
 
 
 </li>
 </ul>
 #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
 
 
 
 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>

Business Analyst (Supply Analytics, Bangkok-based, Relocation provided)

Boubyan Bank

<div>
 
 
 JOB SUMMARY / PURPOSE:
 
 
 
 The Data Analyst will be instrumental in leveraging data to enhance the bank's AI conversation assistants and self-service digital channels. This role focuses on extracting, analyzing, and interpreting digital channel&rsquo;s and conversational data to provide actionable insights that drive process improvements, optimize customer journeys, and support evidence-based decision-making across various business units.
 
 
 
 
 
 
 ROLE AND RESPONSIBILITIES:
 
 
 
 
 
 <ul>
 <li>
 
 Data Collection &amp; Management:
 
 Collect, validate, cleanse, and transform large datasets from various sources, including conversational platforms, and data warehouses, ensuring data accuracy and integrity.
 </li>
 <li>
 
 Data Ingestion:
 
 Ingest digital channels logs, anonymize/PII scrub, build vectorization pipelines, index maintenance, ETL for analytics and model monitoring data.
 </li>
 <li>
 
 BI &amp; Reporting Development:
 
 Design, develop, and maintain reports, dashboards, and data visualizations (using tools like Power BI) to track Business KPIs, Conversation analytics, Model performance &amp; quality,Infra &amp; Operations and Compliance &amp; audit reports
 </li>
 <li>
 
 NLU Performance Review:
 
 Review and analyse the Natural Language Understanding (NLU) performance of AI models to improve conversation flow and accuracy. Perform ad-hoc analyses to inform product priorities (e.g., identify content gaps, high-failure dialogs).
 </li>
 <li>
 
 Process Improvement:
 
 Identify opportunities for data process improvements, recommend system modifications, and automate reporting workflows to enhance efficiency.
 </li>
 <li>
 
 Stakeholder Collaboration:
 
 Work closely with cross-functional teams (e.g., AI Product Managers, AI Scientists and AI Engineers) to understand their data needs, gather reporting requirements, and provide analytical support.
 </li>
 </ul>
 
 
 
 
 
 PREFERRED SKILLS AND QUALIFICATIONS
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Computer Science, Data science, Statistics, mathematics, or a related field.
 </li>
 <li>
 
 Experience:
 
 Proven experience (3-5 years preferred) as a Data Analyst, BI Analyst or Reporting Analyst, ideally within the banking/financial services industry or working with AI products/digital journey design.
 </li>
 <li>
 
 Technical Skills:
 
 SQL, Power BI, Python, NLP, ETL
 </li>
 </ul>
 
 -High proficiency in SQL Databases / data warehouse on-prem (Postgres, MongoDB, Oracle, SQL server, Sybase)
 
 
 -Expertise in BI and data visualization tools (e.g., Microsoft Power BI).
 
 
 -Understanding of data warehousing, ETL processes, and database design concepts.
 
 
 -Familiarity with statistical software or programming languages like Python for advanced analytics.
 
 
 -Familiarity with NLP models, LLMs and ML lifecycle (model versioning, inference tagging).
 
 
 -Familiarity with ML observability tools (Grafana integration, MLflow metrics) and model explainability tools.
 
 
 -Familiarity with vector databases (Qdrant/FAISS/ Weaviate), retrieval metrics and conversational analytics tooling.
 
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong analytical, problem-solving, and critical-thinking skills with keen attention to detail.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to present complex information clearly to diverse audiences.
 </li>
 <li>
 Ability to work independently and collaboratively in a dynamic, fast-paced environment.
 </li>
 <li>
 Proactive mindset and intellectual curiosity about data and emerging AI technologies.
 </li>
 </ul>
</div>

Data Analyst - Data Analytics & Reporting

Konecta

<div>
 
 Position Summary:
 
 
 The Reporting Analyst plays a pivotal role in driving data-informed decisions across international
 
 
 BPO operations. This role is responsible for designing, maintaining, and optimizing global reporting
 
 
 frameworks, KPIs, and dashboards that measure operational performance, customer satisfaction,
 
 
 workforce
 
 
 efficiency, and strategic initiatives. The successful candidate will act as a critical partner to cross-
 
 
 functional
 
 
 teams, ensuring timely delivery of actionable insights in a fast-paced, metrics-driven environment.
 
 
 
 
 
 Key Responsibilities:
 
 
 ● Collect, clean, organize, and analyze large volumes of structured and unstructured data from multiple
 
 
 global sources including customer interactions, QA surveys, WFM platforms, CRMs, and internal
 
 
 systems.
 
 
 ● Develop, automate, and maintain global reports and dashboards (e.g., Looker, Power BI) that
 
 
 monitor key KPIs across clients, markets, and contact center sites.
 
 
 ● Design and maintain relational databases and reporting tools that enable self-service analytics across
 
 
 operational teams.
 
 
 ● Perform root cause analyses and trend forecasting to provide strategic insights on service delivery,
 
 
 efficiency, and customer experience.
 
 
 ● Collaborate with global functional leads in Workforce Management, Quality, Training, and Client
 
 
 Services to align metrics, standardize reporting, and define best practices.
 
 
 ● Translate data into compelling narratives and visual presentations for executive stakeholders.
 
 
 ● Present monthly and quarterly business reviews to leadership and clients with a focus on data-driven
 
 
 recommendations.
 
 
 ● Maintain robust documentation and ensure consistent application of data governance policies across
 
 
 reporting systems.
 
 
 ● Drive continuous improvement through automation, AI-based insights, and integration of new
 
 
 
 
 
 analytics tools.
 
 
 ● Support RFPs, client audits, and contract renegotiations with data and performance evidence.
 
 
 
 
 
 Must-Have Qualifications and Skills:
 
 
 ● Experience (4+y) in a global reporting, analytics, or business intelligence role, working in multi-
 
 
 country BPO operations, global shared services or high-volume customer operations.
 
 
 ● Strong analytical mindset and exceptional attention to detail.
 
 
 ● Proficiency in data analytics and visualization tools: Excel (advanced), SQL, Looker, Power BI.
 
 
 ● Strong understanding of customer experience or service delivery metrics and performance
 
 
 management frameworks.
 
 
 ● Ability to synthesize complex data sets into actionable insights.
 
 
 ● Proven experience managing dashboards and operational reports in BPO, shared services, or
 
 
 customer service environments.
 
 
 ● Outstanding written and verbal communication skills.
 
 
 ● Demonstrated autonomy in managing multiple projects, deadlines, and stakeholder expectations.
 
 
 ● Strong critical thinking, problem-solving, and storytelling abilities.
 
 
 ● Bachelor&amp;#39;s degree in Statistics, Mathematics, Computer Science, Business Analytics, or related field.
 
 
 ● Fluency in English; additional languages are a plus.
 
 
 
 
 
 Preferred Qualifications (Nice-to-Have):
 
 
 ● Familiarity with workforce management, quality assurance, or gamification platforms (e.g.,
 
 
 Centrical, NICE, Genesys).
 
 
 ● Experience with ETL processes and data warehousing solutions.
 
 
 ● Background in predictive modeling, segmentation, or customer behavior analytics.
 
 
 ● Certification in Tableau, Power BI, or data analytics frameworks.
 
 
 
 
 
 What Success Looks Like:
 
 
 ● Consistently delivers accurate, timely, and insightful reports.
 
 
 ● Enables leadership to make fast, informed decisions.
 
 
 
 
 
 ● Acts as a data champion, standardizing and elevating reporting practices across geographies.
 
 
 ● Anticipates risks and opportunities based on trends before they impact performance.
 
</div>

Reporting Analyst - BPO Industry

Startup Caliber

<div>
 
 
 About the Role
 
 
 
 We are seeking a highly analytical and detail-oriented
 
 Senior Business Intelligence Analyst
 
 to lead the development and optimization of BI solutions that empower business decisions. The ideal candidate will transform complex data into meaningful insights, build dashboards, and guide teams on data-driven actions.
 
 
 
 Key Responsibilities
 
 
 
 
 1. Data Analysis &amp; Insights
 
 
 <ul>
 <li>
 Analyze large, complex datasets to identify trends, patterns, anomalies, and business opportunities.
 </li>
 <li>
 Provide actionable insights to stakeholders across departments (finance, operations, marketing, sales).
 </li>
 <li>
 Build and maintain KPI frameworks and performance monitoring tools.
 </li>
 </ul>
 
 
 2. BI Tools &amp; Dashboard Development
 
 
 <ul>
 <li>
 Create, manage, and optimize dashboards and reports using tools such as:
 </li>
 <li>
 Power BI
 </li>
 <li>
 Tableau
 </li>
 <li>
 Looker Studio
 </li>
 <li>
 Qlik
 </li>
 <li>
 Ensure dashboards are visually appealing, accurate, and aligned with business needs.
 </li>
 </ul>
 
 
 3. Data Modeling
 
 
 <ul>
 <li>
 Develop and maintain scalable data models, ETL processes, and data pipelines.
 </li>
 <li>
 Work with data engineers to improve data infrastructure, enhance data quality, and ensure data availability.
 </li>
 </ul>
 
 
 4. Business Partnering
 
 
 <ul>
 <li>
 Work closely with senior leadership to understand business challenges and propose data-driven solutions.
 </li>
 <li>
 Translate business requirements into technical specifications.
 </li>
 <li>
 Present insights and recommendations to executives and non-technical stakeholders.
 </li>
 </ul>
 
 
 5. Reporting &amp; Documentation
 
 
 <ul>
 <li>
 Prepare detailed weekly, monthly, and quarterly analysis reports.
 </li>
 <li>
 Document data definitions, processes, and business rules.
 </li>
 <li>
 Implement best practices for BI reporting and data governance.
 </li>
 </ul>
 
 
 6. Continuous Improvement
 
 
 <ul>
 <li>
 Identify opportunities to automate reports and optimize BI workflows.
 </li>
 <li>
 Stay updated with the latest BI technologies, analytics methodologies, and data visualization trends.
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 5&ndash;7+ years of experience in BI, data analysis, or data analytics.
 </li>
 <li>
 Proven experience in developing dashboards and analytical solutions.
 </li>
 <li>
 Experience working with large datasets in fast-paced environments.
 </li>
 </ul>
 
 
</div>

Senior Business Intelligence Analyst

Paymob

<div>
 We are seeking a
 
 Senior Product Analyst
 
 with strong expertise in
 
 Power BI
 
 to transform data into actionable insights that drive product strategy and business growth. The ideal candidate will partner with product managers, engineers, and stakeholders to analyze performance, user behavior, and product metrics, enabling data-driven decision-making across teams.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze product performance, user engagement, and conversion metrics to identify trends, opportunities, and pain points.
 </li>
 <li>
 Build and maintain Power BI dashboards and visual reports to monitor KPIs and support business decisions.
 </li>
 <li>
 Collaborate with Product Managers, Engineers, and Data teams to define and track key product success metrics.
 </li>
 <li>
 Translate complex datasets into clear, meaningful insights and recommendations for strategic initiatives.
 </li>
 <li>
 Conduct A/B testing and evaluate product changes or new feature launches using statistical methods.
 </li>
 <li>
 Develop and maintain data models, reports, and documentation to ensure consistency and data integrity.
 </li>
 <li>
 Identify areas for product and process optimization using quantitative analysis and user data.
 </li>
 <li>
 Partner with stakeholders to deliver regular performance reports and deep-dive analyses for business reviews.
 </li>
 <li>
 Ensure data accuracy, governance, and best practices across all product reporting tools.
 </li>
 <li>
 Mentor junior analysts and contribute to developing a data-driven culture within the product organization.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Statistics, Economics, Business Analytics, or related field.
 </li>
 <li>
 4+ years of experience in data or product analytics roles, preferably in a tech, fintech, or SaaS environment.
 </li>
 <li>
 Proven hands-on experience with Power BI (dashboarding, DAX, data modeling, Power Query).
 </li>
 <li>
 Strong skills in SQL for data extraction, manipulation, and analysis.
 </li>
 <li>
 Experience with data visualization best practices and communicating insights to non-technical audiences.
 </li>
 <li>
 Solid understanding of product metrics (retention, activation, funnel analysis, churn, etc.).
 </li>
 <li>
 Familiarity with A/B testing, experimentation frameworks, and statistical analysis.
 </li>
 <li>
 Experience working with cross-functional teams (Product, Engineering, Marketing, etc.).
 </li>
 <li>
 Knowledge of Python or other analytics tools (R, Excel, Google Analytics, Looker, Tableau) is a plus.
 </li>
 <li>
 Excellent problem-solving, communication, and stakeholder management skills.
 </li>
 </ul>
</div>

Senior Product Analyst

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