associate data analyst- customer experience group | bangkok-based

ai specialist

data analyst

analyst

analyst- financial planning & analysis Jobs in Dubai

analyst- financial planning & analysis

associate data analyst- customer experience group | bangkok-based Jobs in Dubai

data analytics analyst

Hire Rightt - Executive Search & HR Advisory

<div>
 
 Job Title - Data analyst (emarati talent)
 
 
 Location - Dubai
 
 
 
 
 
 
 Job Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Statistics, or a related field.
 </li>
 <li>
 Proven experience as a Data Analyst or in a similar analytical role.
 </li>
 <li>
 Strong proficiency in
 
 Power BI
 
 , including data modeling, dashboard development, and advanced
 
 DAX
 
 functions.
 </li>
 <li>
 Skilled in
 
 SQL
 
 and
 
 Power Query
 
 for data extraction, cleaning, and transformation.
 </li>
 <li>
 Knowledge of
 
 data schemas
 
 (Star and Snowflake) and performance optimization techniques.
 </li>
 <li>
 Understanding of
 
 data governance
 
 ,
 
 data accuracy
 
 , and
 
 quality management
 
 .
 </li>
 <li>
 Experience with
 
 R
 
 or
 
 Python
 
 integration in Power BI for statistical or predictive analytics (preferred).
 </li>
 <li>
 Strong analytical and statistical thinking skills with attention to detail.
 </li>
 <li>
 Excellent communication skills to present data insights to both technical and non-technical stakeholders.
 </li>
 <li>
 Ability to manage data gateways, connections, and user access securely.
 </li>
 <li>
 Continuous learning mindset and ability to adapt to evolving data analysis tools and techniques.
 </li>
 </ul>
 
 
 
 
 
 Job Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Collect and preprocess data from multiple internal and external sources, ensuring data quality and integrity.
 </li>
 <li>
 Clean, transform, and prepare data for analysis using Power Query and SQL.
 </li>
 <li>
 Build and optimize data models in Power BI for accurate and efficient reporting.
 </li>
 <li>
 Develop interactive dashboards and reports with DAX calculations for KPIs, rankings, and trend analysis.
 </li>
 <li>
 Deploy analytical models and collaborate with technical teams to integrate insights into business systems.
 </li>
 <li>
 Monitor and ensure data accuracy, identify inconsistencies, and implement data quality controls.
 </li>
 <li>
 Communicate complex analytical findings clearly and concisely to business stakeholders.
 </li>
 <li>
 Manage Power BI administration tasks, including gateway updates, data connections, and access control.
 </li>
 <li>
 Ensure secure and efficient data transfer between on-premises and cloud data sources.
 </li>
 <li>
 Stay updated on the latest developments in Power BI and data analytics tools, contributing to process improvements and innovation.
 </li>
 </ul>
 
 
 
 
 Email CVs to zeena@hirerightt.com
 
 
 
</div>

Data Analyst - EMARATIZATION

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.
 
 
 
 Get To Know Our Team
 
 
 
 The People Team is a purveyor of opportunity, searching the globe for the most talented individuals and offering them an open, collaborative workplace. By prioritizing skill and potential, we have cultivated a powerful assembly of professionals through our drive for equal opportunity and diversity. We make the move to Agoda a breeze with assisted onboarding programs, and we continue to support and enrich our thousands of Agoda employees through individual growth with outstanding learning programs and various means of assistance. Our development of incredible benefits has ensured everyone can stay strong, healthy, and happy during their time at Agoda. Leading ambitious changes and making a positive impact in the lives of our employees, the People Team is a crucial and rewarding part of the Agoda family.
 
 
 The data analyst will contribute to the Forecasting and Budgeting process for Workforce Planning and progressive improvement of the tools and capabilities of the team. This role collaborates closely with Finance and People team stakeholders that planning is aligned with Agoda&rsquo;s strategic goals and budget preparation. The rapid growth of the business and the increasing complexity driven by new launches and services make this an exciting, and challenging proposition.
 
 
 <ul>
 <li>
 Deliver reports and impactful insights to the operational Budgeting and Workforce planning
 </li>
 <li>
 Partnering with P&amp;A and People team stakeholders
 </li>
 <li>
 Become familiar with processes and technology in support of Analytics products
 </li>
 <li>
 Bachelor&rsquo;s degree required
 </li>
 <li>
 At least 2-3 years of experience as data /reporting analyst with SQL querying proficiency
 </li>
 <li>
 High level of discretion, confidentiality and ethics
 </li>
 <li>
 Ability to work well with employees in a highly multi-cultural environment
 </li>
 <li>
 Strong attention to detail and accuracy
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Be self-driven with strong ability to analyze and resolve complex problems
 </li>
 <li>
 Experience with Tableau visualization
 </li>
 <li>
 Experience with Vena software
 </li>
 <li>
 Workforce planning and Budgeting experience
 
 
 </li>
 </ul>
 #STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
 
 
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

People Data Analyst(Bangkok based, relocation provided)

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Overview:
 
 
 
 The Agoda Content department is currently looking for a curious and questioning self-starter and proactive analyst, who will help drive decision making with insights from content, marketing and partner performance data.
 
 
 You will get the opportunity to own analytical projects to direct our department&rsquo;s focus, and prioritize our actions. By joining Agoda, you will become part of a truly international team, with leading experts of different backgrounds coming from 50+ countries around the world. This is a genuine opportunity to gain valuable experience in a challenging and cutting-edge tech environment. The ideal candidate would have a passion for high-converting content, great user-experience, data and analysis tools and methods. This position reports to the Associate Director of Content Operations, in Bangkok, Thailand.
 
 
 
 Main responsibilities:
 
 
 
 <ul>
 <li>
 Understand Content goals and KPIs and be able to align reports and insights based on them. Identify and investigate trends, anomalies and opportunities to improve Agoda&rsquo;s Content strategy.
 </li>
 <li>
 Identify content opportunities that drive customer value, bookings and conversion
 </li>
 <li>
 Help build business cases around the opportunity and get buy-in from stakeholders
 </li>
 <li>
 Ensure appropriate data/tools/dashboards to measure execution and enable deeper analysis
 </li>
 <li>
 Track execution and report up in regular updates
 </li>
 <li>
 Work with product, data/BI team and IT to create data resources and build appropriate reporting
 </li>
 <li>
 Work with Content team leads to understand their business needs and identify opportunities in terms of team actions prioritization and focus.
 </li>
 <li>
 Use multiple data sources to report Content projects insights and impact; support Content tests and experiments.
 </li>
 <li>
 Encourage and train the Content team in best practice use of Agoda data, analysis techniques and interpretation.
 </li>
 <li>
 Coordinate with other Cross Functional departments like Analytics, Partner Services, and Product Owners
 </li>
 <li>
 Use Web-Analytics for Research and Analysis
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor degree or higher
 </li>
 <li>
 2+ years of relevant experience
 </li>
 <li>
 Experience / knowledge in statistics, SQL, Python/R, Tableau and advanced Excel &ndash; required
 </li>
 <li>
 Ability to demonstrate data manipulation using data warehouse and create meaningful insight and visualization
 </li>
 <li>
 Experience / knowledge in Vertica and / or Impala &ndash; advantage
 </li>
 <li>
 Experience in generating data and / or preparing experiments for product development &ndash; advantage
 
 
 </li>
 </ul>
 
 Professional characteristics:
 
 
 
 <ul>
 <li>
 Attentive to detail and committed to data integrity
 </li>
 <li>
 Keen and curious nature; able and willing to share your opinion
 </li>
 <li>
 Organized; able to manage multiple, competing priorities and deliver results under tight deadlines
 </li>
 <li>
 Able to communicate effectively; fluent in English &ndash; both spoken and written
 
 
 </li>
 </ul>
 #STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi
 
 
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

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

Global Software Solutions Group

<div>
 We are seeking a detail-oriented and analytical Data Analyst with experience in the insurance domain, data migration initiatives, and Master Data Management (MDM). The ideal candidate will support large-scale transformation projects involving policy, claims, underwriting, and customer data while ensuring high data quality, integrity, and governance standards.
 
 
 This role requires strong analytical skills, business domain knowledge in insurance, and hands-on experience in data mapping, reconciliation, validation, and MDM processes.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Insurance Domain Data Analysis
 </li>
 <li>
 Analyze insurance data across Policy Administration, Claims, Underwriting, Billing, and Reinsurance systems
 </li>
 <li>
 Work closely with business stakeholders to understand data requirements and regulatory needs
 </li>
 <li>
 Interpret complex insurance data models and business rules
 </li>
 <li>
 Data Migration
 </li>
 <li>
 Perform source-to-target data mapping and transformation logic documentation
 </li>
 <li>
 Conduct data profiling, cleansing, validation, and reconciliation activities
 </li>
 <li>
 Identify data gaps, inconsistencies, and quality issues during migration
 </li>
 <li>
 Support migration from legacy systems to modern core insurance platforms
 </li>
 <li>
 Validate migrated data through UAT and post-migration audits
 </li>
 <li>
 Master Data Management (MDM)
 </li>
 <li>
 Support implementation and maintenance of MDM frameworks
 </li>
 <li>
 Manage different data sets and data sources
 </li>
 <li>
 Define and monitor data quality KPIs
 </li>
 <li>
 Ensure standardization, de-duplication, and golden record creation
 </li>
 <li>
 Work with governance teams to enforce data standards and policies
 </li>
 <li>
 Reporting &amp; Insights
 </li>
 <li>
 Develop dashboards and reports using tools such as Microsoft Power BI and Tableau
 </li>
 <li>
 Perform ad-hoc analysis to support underwriting and claims performance
 </li>
 <li>
 Present data insights to business and leadership teams
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in data science, Computer Science, Statistics, Finance, or related field
 </li>
 <li>
 4-8 years of experience as a Data Analyst, preferably in the insurance domain
 </li>
 <li>
 Strong SQL skills (e.g., Oracle Database, Microsoft SQL Server, , MySQL)
 </li>
 <li>
 Experience in data migration projects (ETL, mapping, reconciliation)
 </li>
 <li>
 Hands-on experience with Master Data Management concepts and tools
 </li>
 <li>
 Strong understanding of data governance and data quality frameworks
 </li>
 <li>
 Knowledge of insurance regulatory requirements and compliance standards
 </li>
 <li>
 Proficiency in Excel and data analysis techniques
 </li>
 <li>
 Knowledge of visualization tools will be an added advantage
 </li>
 </ul>
</div>

Data Analyst - Insurance domain

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to Know our
 
 
 Team:
 
 
 
 The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
 
 
 
 In this Role, you&rsquo;ll get
 
 
 to:
 
 
 
 <ul>
 <li>
 Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
 </li>
 <li>
 Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
 </li>
 <li>
 Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to
 
 
 Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science)
 </li>
 <li>
 Ability to communicate fluently in English
 </li>
 <li>
 Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau
 </li>
 <li>
 Good numerical reasoning skills
 </li>
 <li>
 Proficiency in Excel
 </li>
 <li>
 Intellectual curiosity and analytical skills
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you
 
 
 Have:
 
 
 
 <ul>
 <li>
 Experience in digital marketing
 </li>
 <li>
 Academic research experience
 
 
 </li>
 </ul>
 #STRA#ANLS#MRKT#3
 
 
 <ul>
 <li>
 Experience in R studio, data modeling, hypothesis testing is a plus
 
 
 </li>
 </ul>
 
 #STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java
 
 
 
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Data Analyst (Bangkok Based, relocation provided)

IC Markets

<div>
 
 IC Markets Global is one of the most renowned Forex CFD provider, offering trading solutions for active day traders and scalpers as well as traders that are new to the forex market. IC Markets Global offers its clients cutting edge trading platforms, low latency connectivity and superior liquidity.
 
 
 IC Markets Global is revolutionizing online forex trading. Traders are now able to gain access to pricing previously only available to investment banks and high net worth individuals.
 
 
 Our management team have significant experience in the Forex, CFD and Equity markets in Asia, Europe and North America. It is this experience that has enabled us to select the best possible technology solutions and hand pick some of the best pricing providers available in the market.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a highly analytical and forward-thinking Data Analyst to join our team. In this role, you will be responsible for analyzing, processing, and delivering high-quality data to empower decision-making across various departments. The ideal candidate brings robust SQL expertise, an eye for detail, an AI-forward mindset, and the proven ability to transform diverse datasets into accurate, actionable insights.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop, optimize, and maintain complex SQL queries across MSSQL, MySQL, and PostgreSQL to extract and manipulate data efficiently.
 </li>
 <li>
 Reconcile and evaluate data from multiple sources, proactively identifying and resolving any inconsistencies or discrepancies.
 </li>
 <li>
 Design and implement strategies to enhance database structures, data integration pipelines, and overall reporting processes.
 </li>
 <li>
 Design, build, and maintain data models, reports, and interactive dashboards to serve business stakeholders.
 </li>
 <li>
 Work closely with cross-functional teams to ensure the accurate and timely delivery of data, reports, and actionable insights.
 </li>
 <li>
 Take initiative on ad-hoc analytical tasks and specialized projects as assigned by the Head of Department.
 </li>
 </ul>
 
 
 
 
 
 Essential Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Data Science, or a related technical field.
 </li>
 <li>
 Strong, hands-on experience with Relational Database Management Systems (RDBMS), specifically MSSQL, MySQL, and PostgreSQL.
 </li>
 <li>
 Advanced knowledge of Structured Query Language (SQL) and query optimization techniques.
 </li>
 <li>
 Hands-on experience with PowerBI for data visualization and reporting, along with a working familiarity of SQL Server Reporting Services (SSRS).
 </li>
 <li>
 Advanced skills in MS Excel and Google Sheets for rapid data manipulation and analysis.
 </li>
 <li>
 Exceptional problem-solving skills, high attention to detail, and the ability to interpret complex datasets to generate business value.
 </li>
 <li>
 Excellent verbal and written communication skills in English, with the ability to convey technical findings clearly.
 </li>
 <li>
 A strong team player who can collaborate effectively while also managing independent workloads.
 </li>
 </ul>
 
 
 
 
 
 Desirable Skills &amp; Experience:
 
 
 <ul>
 <li>
 Experience working with trading platform databases (e.g., MT4, MT5, cTrader) and a solid understanding of Forex markets or financial systems.
 </li>
 <li>
 Familiarity with ETL processes and tools, particularly SQL Server Integration Services (SSIS) / Visual Studio Data Tools.
 </li>
 <li>
 Knowledge of MDX or DAX to query analysis services and create highly complex reports.
 </li>
 <li>
 Proficiency in Python for advanced data analysis, scripting, and task automation.
 </li>
 <li>
 Hands-on experience or a strong conceptual understanding of integrating AI tools and methodologies into data analysis workflows.
 </li>
 </ul>
 
 
</div>

Data Analyst - Trading Platform

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 
 Conversion Rate Optimisation (CRO) Specialist &ndash; Trading Platform | Dubai
 
 
 
 
 
 
 A fast-growing
 
 trading platform company based in Dubai
 
 is looking for an experienced
 
 Conversion Rate Optimisation (CRO) Specialist
 
 to join their team.
 
 
 
 
 
 🔍
 
 About the Role
 
 
 
 This role focuses on analysing user behaviour, identifying conversion opportunities, and executing A/B tests to optimise the customer journey across digital platforms within a competitive trading environment.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and execute CRO strategies to improve acquisition, activation, and retention
 </li>
 <li>
 Run A/B and multivariate tests across landing pages, funnels, and trading interfaces
 </li>
 <li>
 Analyse user behaviour using tools like GA4, Hotjar, or similar platforms
 </li>
 <li>
 Collaborate with UX/UI, product, and marketing teams to implement data-driven improvements
 </li>
 <li>
 Monitor KPIs and deliver actionable insights to stakeholders
 </li>
 <li>
 Continuously optimise funnels for Forex and trading-related products
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Minimum
 
 3+ years of experience
 
 in Conversion Rate Optimisation or a similar role
 </li>
 <li>
 
 Mandatory experience in Forex / trading industry
 
 </li>
 <li>
 Strong analytical mindset with hands-on experience in testing tools (e.g., Optimisely, VWO, Google Optimise)
 </li>
 <li>
 Proficiency in analytics platforms (GA4, Mixpanel, etc.)
 </li>
 <li>
 Understanding of customer journeys within trading platforms
 </li>
 <li>
 Experience working with landing pages, funnels, and performance marketing teams
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience in CFD, crypto, or multi-asset trading platforms
 </li>
 <li>
 Basic knowledge of HTML/CSS/JS for experiment implementation
 </li>
 <li>
 Familiarity with UX principles and behavioural psychology
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Dubai (On-site / Hybrid)
 
</div>

Data Analyst

Explore 643+ Data analytics analyst in Dubai this May. Find roles across top companies and apply now to boost your career.