business analyst

analyst compensation & benefits - arabic speaker Jobs in Abu Dhabi

analyst compensation & benefits - arabic speaker

bi analyst (supply analytics, bangkok-based, relocation provided) Jobs in Abu Dhabi

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

bi developer (supply analytics, bangkok-based, relocation provided) Jobs in Abu Dhabi

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

bim analyst

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 Lead 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>

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

Astra Tech

<div>
 
 
 
 Role Summary
 
 
 
 
 
 
 
 We are looking for a
 
 Business Analyst &ndash; Collections
 
 to drive data-led insights and strategies across our lending and collections functions. The role will focus on analyzing portfolio performance, identifying trends and risks, and developing actionable recommendations to improve recovery, reduce credit risk, and enhance operational efficiency. You will collaborate with cross-functional teams to translate data into strategy and support the design and optimization of collection processes.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 <ul>
 <li>
 Analyze data across the credit lifecycle to identify trends, risks, and opportunities in collections performance.
 </li>
 <li>
 Develop and maintain dashboards, reports, and KPIs to monitor portfolio health and recovery effectiveness.
 </li>
 <li>
 Partner with stakeholders in Credit, Collections, Risk, and Operations to define business requirements and translate them into actionable insights.
 </li>
 <li>
 Support the design and implementation of collection strategies and delinquency management frameworks.
 </li>
 <li>
 Conduct root cause analyses of portfolio performance issues and recommend corrective measures.
 </li>
 <li>
 Leverage BI and analytics tools (SQL, Power BI, Tableau, etc.) to generate insights and automate reporting.
 </li>
 <li>
 Ensure adherence to internal policies, regulatory guidelines, and industry best practices.
 </li>
 </ul>
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 <ul>
 <li>
 Proven experience as a
 
 Business Analyst
 
 within lending, credit, or collections functions.
 </li>
 <li>
 Strong understanding of the
 
 credit lifecycle
 
 , loan products, and collection processes.
 </li>
 <li>
 Hands-on expertise with
 
 BI and data analytics tools
 
 such as SQL, Power BI, and Tableau.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 <li>
 Strong stakeholder management and collaboration abilities.
 </li>
 <li>
 Bachelor&rsquo;s degree in
 
 Business, Finance, Economics, or a related field
 
 .
 </li>
 <li>
 Experience in
 
 fintech, banking, or NBFC
 
 environments preferred.
 </li>
 <li>
 Familiarity with
 
 credit bureau data
 
 and regulatory frameworks is an advantage
 </li>
 </ul>
 
 
</div>

Business Analyst – Collections

Visionary Tech Services LLC

<div>The Lead Data and BI Engineer makes trusted, timely data and insight delivery for AI. Reporting to the Head of AI and Data Engineering, this role owns the end&#8209;to&#8209;end data and BI stack from ingestion and transformation to semantic layers, metrics, and dashboards and line&#8209;manages Associate and Senior Data Engineers and BI Engineers to ship secure, governed, and reusable data products at scale.
Requirements<ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s in CS, Software Engineering, Data Engineering, or related.</li>
<li>8+ years across data engineering and BI engineering with ownership of production data platforms, pipelines, and analytics delivery.</li>
<li>Deep hands&#8209;on with batch and streaming patterns(ELT/ETL, CDC, event streams), orchestration (such as Azure Data Factory, Databricks, and Airflow), and Lakehouse stacks (such as Delta/Snowflake/BigQuery) on Azure/AWS/GCP.</li>
<li>Proven experience with semantic models and metrics layers (dbt + semantic layer, MetricFlow, or equivalent),dimensional modeling, and KPI frameworks powering BI tools (such as Power BI/Tableau).</li>
<li>Strong data governance and quality practices: lineage, cataloging, PII handling, access controls, testing and observability (such as Great Expectations/Open Lineage/Data Hub), cost and performance optimization.</li>
<li>API design and data product mindset: well&#8209;defined interfaces, contracts, SLAs, and reusable components; experience enabling self&#8209;serve analytics and domain data ownership.</li>
<li>Leadership: line management, hiring, coaching, code and model review, operating standards, and cross&#8209;functional delivery with AI, Product, Security, and Platform teams.</li>
<li>Nice to have: real&#8209;time analytics, metric stores, headless BI, dbt Semantic Layer, Microsoft Fabric; familiarity with RAI/privacy controls for AI and analytics.</li>
<li>Strategy and ownership</li>
<li>Own the data and BI architecture and roadmap across ingestion, transformation, semantic layers, and presentation.</li>
<li>Define standards for modeling, testing, observability, CI/CD, and access controls; ensure reuse and documentation.</li>
<li>Data engineering</li>
<li>Lead design and delivery of scalable ELT/ETL, CDC, and streaming pipelines; implement data contracts and SLAs.</li>
<li>Optimize reliability, performance, and cost on cloud data platforms; enforce data quality gates and lineage.</li>
<li>BI engineering and semantic modeling</li>
<li>Establish conformed dimensions and governed metrics; implement a semantic layer and metric definitions used across BI tools.</li>
<li>Lead build of analytics datasets and dashboards for exec and operational use; standardize KPI frameworks and reporting rhythms.</li>
<li>Governance and security</li>
<li>Embed governance-by-design: cataloging, lineage, RBAC/ABAC, PII handling, and audit trails; partner with Security and RAI.</li>
<li>Set data validation, testing, and monitoring policies; act on data incidents with clear runbooks.</li>
<li>Collaboration and enablement</li>
<li>Partner with AI/ML Engineering to supply reliable features and serve model outputs back into the warehouse/lake house.</li>
<li>Enable self&#8209;serve analytics with curated data products, documentation, and training for analysts and business teams.</li>
<li>Leadership and people</li>
<li>Line&#8209;manage Associate and Senior Data Engineers and BI Engineers: coach, set goals, review designs and code, and grow capabilities.</li>
<li>Drive continuous improvement in developer experience, pipeline reliability, and time&#8209;to&#8209;insight via templates and reference implementations.</li>
<li>Builds reliable data, analytics and BI data products that business teams trust for decisions. Standardizes models, metrics, and pipelines to improve performance, governance, and time&#8209;to&#8209;insight.</li></ul></div>

Lead Data and BI Engineer

<div>
 
 
 Role Summary
 
 
 
 The role is a hybrid role, half FTE will perform clearing reconciliation jobs to better understand our business, another half FTE will perform clearing data analysis jobs to help finance team get better solutions.
 
 
 The role will report to our FinOps Manager. As a Finance Operations analyst you will be expected to understand the intricacies of payment rules, regulations, and technologies and to support providing a best-in-class digital payment offering to our clients. You will work in a dynamic environment and be able to recommend and implement process improvements, work independently, and handle multiple tasks simultaneously.
 
 
 Our ideal candidate has experience working in a hyper growth atmosphere and a strong alignment to our values - being unconventional, staying user focused, creating value and thinking &ldquo;ultra&rdquo;.&nbsp;
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Data Controls and Analysis: Analyze extensive datasets, extract trends, and insights, ensuring accuracy and relevance to business needs.
 </li>
 </ul>
 <ul>
 <li>
 KPIs Tracking &amp; Integration: Develop, track, and provide key performance indicators (KPIs) to enhance financial performance tracking and Integration of KPIs into FP&amp;A models, ensuring that all business insights are based on data-driven analysis and up-to-date information.
 </li>
 </ul>
 <ul>
 <li>
 Business Partnering &amp; Stakeholder Communication: Actively provide data-driven insights to key stakeholders, translating complex data into actionable recommendations. Contribute to solving strategic business decisions through continuous monitoring and reporting.
 </li>
 </ul>
 <ul>
 <li>
 Resolve variances through contacting internal and external stakeholders including Banks or Clients who are responsible for the team's service delivery within reconciliations.
 </li>
 </ul>
 <ul>
 <li>
 Be the single point of contact with senior business external stakeholders both internally and externally.
 </li>
 </ul>
 <ul>
 <li>
 Regular follow-up / escalation on the long-pending items for logical closure with respective teams within the company (Finance, Tech, Operations).
 </li>
 </ul>
 <ul>
 <li>
 Analyze business requirements and translate them into data-driven financial solutions. Identify opportunities to maximize revenue through rate fencing, upselling strategies, and segment-based pricing.
 </li>
 </ul>
 <ul>
 <li>
 Contributes to budgeting, forecasting, and variance analysis for Financial Planning, ensuring Excellence in Financial Performance.
 </li>
 </ul>
 <ul>
 <li>
 Work on cost optimization initiatives
 </li>
 </ul>
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Tools Proficiency is a must: SQL and VBA full proficiency, strong knowledge of BI tools (Looker, Tableau or PowerBI), Python is a plus.
 </li>
 </ul>
 <ul>
 <li>
 Educational Background: Bachelor's degree in mathematics, Statistics, Engineering, Data or related field.
 </li>
 </ul>
 <ul>
 <li>
 Professional Experience: 1+ years of experience in Business Analytics roles, either Product Analytics, Data and BI, or data-driven FP&amp;A or Audit roles
 </li>
 </ul>
 <ul>
 <li>
 Analytical skills: very strong analytical skills, willingness to deep dive in large datasets and complex models, with the ability to translate complex data into actionable insights
 </li>
 </ul>
 <ul>
 <li>
 Ability to manage multiple projects and balance dynamic workloads and commitments.
 </li>
 </ul>
 <ul>
 <li>
 The ability to work independently and be a team player.
 </li>
 </ul>
</div>

Finance Operations Analyst

Joud Coffee

<div>
 
 The role
 
 
 
 You will own our BI stack end-to-end: ingesting data, building clean models, and delivering clear dashboards that drive action. You&rsquo;ll partner with Operations, Finance, Marketing, and Supply Chain to surface the metrics that matter (AOV, attachment rate, COGS, labor %, waste, menu mix, cohort retention, store P&amp;L, campaign ROI, etc.).
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design, build, and maintain Power BI dashboards (DAX, Power Query) for daily/weekly exec and outlet views.
 </li>
 <li>
 Model and transform data from POS, ERP, inventory, and other sources into a single source of truth.
 </li>
 <li>
 Publish and govern datasets, set refresh schedules, and manage row-level security.
 </li>
 <li>
 Build automated KPI packs (email/Teams summaries) and self-serve datasets for stakeholders.
 </li>
 <li>
 Deep-dive analyses: menu engineering, price tests, promo/seasonality, forecasting, and store benchmarking.
 </li>
 <li>
 Create clear documentation, data dictionaries, and how-to guides for non-technical users.
 </li>
 <li>
 QA data quality; resolve anomalies with vendors and internal teams.
 </li>
 <li>
 Support ad-hoc questions with fast queries and crisp narratives that drive decisions.
 
 
 </li>
 </ul>
 
 Must-have Qualifications
 
 
 
 <ul>
 <li>
 3+ years in analytics/BI; at least 2 years hands-on with Microsoft BI (Power BI, Power Query, DAX).
 </li>
 <li>
 Strong SQL (joins, CTEs, window functions) and data modeling (star/snowflake).
 </li>
 <li>
 Proven record turning messy operational data into simple executive dashboards.
 </li>
 <li>
 Business acumen in F&amp;B/retail (store ops, margins, inventory, promos).
 </li>
 <li>
 Excellent communication: you can translate analysis into action for non-analysts.
 </li>
 <li>
 Ownership mindset; comfortable working at speed with imperfect data.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with Foodics POS, Microsoft Dynamics 365 Business Central, Supy, or similar systems.
 </li>
 <li>
 Python for analysis/automation; Power Automate/Power Apps for light workflows.
 </li>
 <li>
 Forecasting/experimentation (baseline vs. lift, cohort retention, seasonality).
 </li>
 <li>
 Arabic language skills.
 
 
 </li>
 </ul>
 
 Tools &amp; data sources you&rsquo;ll touch
 
 
 
 Power BI (Service/Desktop), DAX, Power Query, SQL Server/Azure SQL, Excel, Dynamics 365 BC, POS exports (e.g., Foodics), inventory/procurement, staffing/labor, marketing &amp; e-commerce.
</div>

Business Data Analyst (Microsoft BI) — F&B

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