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business intelligence manager

business analytics analyst

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 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>
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 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)

DICETEK LLC

<div>Job Summary: We are seeking a skilled Power BI Analyst with 6-10 years of experience to join our dynamic team. The ideal candidate will have a strong background in data analysis, visualization, and business intelligence, with a proven ability to transform complex data into actionable insights.
Key Responsibilities:
&#61623; Develop and maintain Power BI dashboards and reports to support business decision-making.
&#61623; Collaborate with stakeholders to gather requirements and understand their reporting needs.
&#61623; Perform data modeling and data preparation using Power Query and DAX.
&#61623; Ensure data accuracy and integrity through regular audits and validations.
&#61623; Identify trends and patterns in data to provide insights that drive business improvements.
&#61623; Provide training and support to end-users on Power BI tools and best practices.
&#61623; Stay updated on the latest Power BI features and enhancements.
Qualifications:
&#61623; Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Science, or a related field.
&#61623; 3-5 years of experience in Power BI development and data analysis.
&#61623; Proficient in DAX, Power Query, and Power BI Desktop.
&#61623; Experience with SQL and data extraction from various sources (databases, Excel, etc.).
&#61623; Strong analytical skills and attention to detail.
&#61623; Excellent communication and presentation skills.
&#61623; Ability to work collaboratively in a team environment.
Preferred Qualifications:
&#61623; Experience with other BI tools (Tableau, QlikView) is a plus.
&#61623; Familiarity with cloud services (Azure, AWS) and data warehousing concepts.
&#61623; Understanding of statistical analysis and data mining techniques.</div>

Power BI Analyst

Higher Colleges of Technology

Overview Position Summary. The Faculty of Business - Business Analytics will contribute to advancing the curriculum of Business Analytics, delivery and relevance to industry and high international standards. In addition to teaching, the faculty plays a role in meeting the division research goals and objectives and uses research activities to inform teaching and develop students analytical and problem-solving skills. The candidate will play an active role in curriculum development, assessment, and evaluation. The curriculum is taught within an applied student-centric learning environment that fosters respect for students, their culture, and their traditions. Faculty play an important role in assisting the development and administration of system-wide and directorate-specific policies and are viewed as active participants in academic and extracurricular events at the College and within the community. Responsibilities <ul><li>Contribute to curriculum development for Business Analytics, aligning with industry relevance and high standards.</li><li>Engage in assessment and evaluation activities to inform teaching and enhance student learning, problem-solving, and analytical skills.</li><li>Teach within an applied, student-centric learning environment that respects students, their culture, and traditions.</li><li>Assist in the development and administration of system-wide and directorate-specific policies.</li><li>Participate in academic and extracurricular events at the College and within the community.</li></ul>

Faculty - Business (Business Analytics)

The National Insurance Company – Daman

<div>
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Support data-driven decision-making through the collection, analysis, and interpretation of healthcare and financial data.
 </li>
 <li>
 Assist in developing dashboards, reports, and performance indicators using business intelligence tools.
 </li>
 <li>
 Contribute to cost-effectiveness studies, utilization reviews, and healthcare trend analyses.
 </li>
 <li>
 Participate in budgeting, forecasting, and actuarial modeling to support strategic planning.
 </li>
 <li>
 Collaborate with internal stakeholders across Health Economics, Finance, and Operations to identify opportunities for improvement.
 </li>
 <li>
 Maintain data quality, ensure accuracy, and support process automation initiatives.
 </li>
 </ul>
 
 
 Qualifications &amp; Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Business Intelligence, Health Economics, Finance, Actuarial Science, Statistics, Healthcare Management, or a related field.
 
 </li>
 <li>
 Strong analytical, quantitative, and problem-solving skills.
 </li>
 <li>
 Proficiency in Excel; familiarity with Power BI, SQL, or Python is an advantage.
 </li>
 <li>
 Interest in healthcare analytics and understanding of insurance or healthcare systems is preferred.
 </li>
 <li>
 Excellent communication and presentation skills in English (Arabic is an advantage).
 </li>
 <li>
 
 UAEN (Family B required).
 
 </li>
 </ul>
 
 
</div>

Business Intelligence & Health Analytics (UAEN)

Astra Tech

<div>
 
 
 
 Role Summary:
 
 
 
 
 
 
 
 We are seeking a
 
 Lead Business Analyst
 
 to drive insights, strategy, and process optimization across our
 
 Pay Later and Cash Loan ecosystem
 
 . The ideal candidate will bring deep expertise in
 
 consumer lending models
 
 such as
 
 Buy Now Pay Later (BNPL)
 
 ,
 
 Send Now Pay Later (SNPL)
 
 , and
 
 Cash Now
 
 products with strong exposure to
 
 digital payments
 
 ,
 
 credit risk analytics
 
 , and
 
 collections optimization
 
 .
 
 
 You will play a key role in bridging data, product, and operations, defining metrics, building models, and enabling business growth through data-led decision-making.
 
 
 
 
 
 
 
 Key Responsibilities
 
 :
 
 
 
 
 
 <ul>
 <li>
 Lead business analysis across the
 
 lending and pay later lifecycle
 
 &mdash; from origination to repayment and collections.
 </li>
 <li>
 Translate data into actionable insights that improve
 
 portfolio performance
 
 ,
 
 conversion rates
 
 , and
 
 recovery outcomes
 
 .
 </li>
 <li>
 Partner with Product, Engineering, and Risk teams to design, launch, and optimize
 
 loan, SNPL, and overdraft features
 
 .
 </li>
 <li>
 Define KPIs and dashboards to monitor credit performance, user journeys, and transaction health.
 </li>
 <li>
 Develop business cases and recommend strategies to enhance
 
 credit approval
 
 ,
 
 limit assignment
 
 , and
 
 collections efficiency
 
 .
 </li>
 <li>
 Collaborate with external partners (wallets, payment gateways, and consumer platforms) for integration and data exchange.
 </li>
 <li>
 Identify risks, trends, and customer behavior patterns using data analytics and predictive modeling.
 </li>
 </ul>
 
 
 
 
 
 
 Key Requirements
 
 :
 
 
 
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s or Master&rsquo;s degree
 
 in Business, Data Analytics, Economics, or related field.
 </li>
 <li>
 
 5+ years of experience
 
 as a Business Analyst, ideally within
 
 BNPL, SNPL, Pay Later, or Digital Lending
 
 ecosystems.
 </li>
 <li>
 Strong understanding of
 
 consumer credit journeys
 
 ,
 
 risk scorecards
 
 , and
 
 collections analytics
 
 .
 </li>
 <li>
 Hands-on experience in building or managing
 
 BI dashboards (Power BI, Tableau, Looker)
 
 and
 
 SQL-based analytics
 
 .
 </li>
 <li>
 Proven experience collaborating with
 
 product, data, and fintech teams
 
 in agile environments.
 </li>
 <li>
 Exposure to
 
 on-demand or B2C platforms
 
 in fintech, mobility, or digital payments domains.
 </li>
 <li>
 Excellent analytical, communication, and stakeholder management skills.
 </li>
 </ul>
 
 
</div>

Lead Business Analyst – Lending & Pay Later Products

<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

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1165 business analytics analyst jobs IN Abu Dhabi

BI Developer (Supply Analytics, Bangkok-based, Relocation provided)

Power BI Analyst

Power BI Analyst

Faculty - Business (Business Analytics)

Business Intelligence & Health Analytics (UAEN)

Lead Business Analyst – Lending & Pay Later Products

Business Analyst – Collections