business development manager

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

business data analyst

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>
 
 As a BI Analyst, you will transform raw data into actionable insights that drive business decisions. You will act as a strategic advisor, using data visualization and analysis to bridge the gap between technical teams and executive leadership.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 Data Visualization &amp; Reporting
 
 : Design and maintain interactive dashboards and reports using tools like
 
 Power BI
 
 ,
 
 Tableau
 
 , or
 
 Looker
 
 to track KPIs.
 </li>
 <li>
 
 Data Analysis
 
 : Analyze complex datasets to identify trends, patterns, and growth opportunities.
 </li>
 <li>
 
 Stakeholder Collaboration
 
 : Partner with cross-functional teams (Finance, Marketing, Operations) to define reporting requirements and deliver data-driven solutions.
 </li>
 <li>
 
 Data Management
 
 : Write complex
 
 SQL
 
 queries to extract, clean, and organize data from various sources.
 </li>
 <li>
 
 Process Optimization
 
 : Automate reporting workflows and improve data collection methodologies to enhance efficiency.
 </li>
 <li>
 
 Ad-Hoc Analysis
 
 : Respond to urgent business questions with deep-dive analytical projects.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 Education
 
 : Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Business, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Technical Proficiency
 
 :
 
 
 
 
 <ul>
 <li>
 Strong
 
 SQL
 
 skills (T-SQL, MySQL, or similar).
 </li>
 <li>
 Expertise in
 
 Power BI
 
 ,
 
 Tableau
 
 , or
 
 Looker
 
 .
 </li>
 <li>
 Advanced
 
 Excel
 
 (Pivot Tables, Power Query).
 </li>
 <li>
 Familiarity with
 
 Python
 
 or
 
 R
 
 for advanced modeling is a plus.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 <ul>
 <li>
 Certifications such as
 
 Microsoft Certified: Data Analyst Associate
 
 or
 
 Tableau Certified
 
 .
 </li>
 <li>
 Experience with
 
 Data Warehousing
 
 concepts (Snowflake, Redshift, or BigQuery).
 </li>
 <li>
 Knowledge of
 
 AI/ML
 
 for predictive analytics or prompt engineering
 </li>
 </ul>
 
 
</div>

Business Intelligence Analyst

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)

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

Confidential

<div>
 
 
 Job Purpose
 
 
 
 
 
 
 The Commercial Data Analyst is responsible for collecting and storing data on sales, customer data, market research, logistics, linguistics, or other behaviors. He/she brings technical expertise to ensure the quality and accuracy of that data, then processes, designs, and presents it in ways to help people, businesses, and the organization make better decisions.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Generate and automate reports across departments like marketing, customer experience, trading, last mile, and finance.
 </li>
 <li>
 Collaborate closely with the media and merchandising teams to suggest modifications and optimizations.
 </li>
 <li>
 Create organized reports for daily, weekly, and monthly analysis for the wider team.
 </li>
 <li>
 Identify and solve data problems and inconsistencies.
 </li>
 <li>
 Clean and formulate data for report template population.
 </li>
 <li>
 Provide technical expertise in data storage structures, data mining, and data cleansing.
 </li>
 <li>
 Troubleshoot the reporting database environment and reports.
 </li>
 <li>
 Develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
 </li>
 <li>
 Document key metrics and additional performance indicators to aid in analysis and optimization.
 </li>
 <li>
 Gather data from primary or secondary data sources and maintain databases.
 </li>
 <li>
 Develop and refine short- and long-term demand forecasts using historical data, seasonality, promotions, and market trends, supported by dynamic models across categories, regions, and channels.
 </li>
 <li>
 Support seasonal merchandise planning by analyzing product, category, and store-level KPIs (e.g., sell-through, stock cover, markdown %, OTB, GMROI) and provide recommendations on assortment, phasing, and replenishment.
 </li>
 </ul>
 
 
 
 
 
 Job Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business Administration, or Computer Sciences, or a related field.
 </li>
 <li>
 Four to six years of experience in analytics, or a similar role.
 </li>
 <li>
 Fluency in English.
 </li>
 <li>
 Proficiency in MS Office.
 </li>
 <li>
 Strong knowledge of SQL, Power BI, Qlik, Advance Excel and working knowledge of Google Analytics or Facebook BM.
 </li>
 </ul>
</div>

Senior Commercial Data Analyst

<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)

Bluemojo Solutions

Senior Salesforce (SFDC) Business Analyst &ndash; Onsite UAELocation: UAE (Onsite)We are looking for a Salesforce (SFDC) Business Analyst.Key Requirements:<ul><li>Strong hands-on experience in Salesforce Sales Cloud</li><li>Proven experience in end-to-end Salesforce implementations</li><li>Experience in Lead-to-Order lifecycle (Lead, Opportunity, Quote, Order)</li><li>Exposure to Salesforce Marketing &amp; Life Sciences (preferred)</li><li>Experience in ERP integrations (Oracle EBS preferred)</li><li>Strong understanding of APIs, data mapping &amp; system integrations</li><li>Excellent stakeholder management &amp; communication skills</li></ul>Role Highlights:<ul><li>Lead requirement gathering, design, and implementation</li><li>Drive Salesforce transformation initiatives</li><li>Manage SIT, UAT, data migration, and go-live support</li></ul>Experience:<ul><li>Salesforce: 3 years (Required)</li><li>Business Analyst: 5 years (Required)</li><li>Sales Cloud: 3 years (Required)</li></ul>Work Location: In person

SalesForce Business Analyst

Explore 1316+ Business data analyst in Dubai this May. Find roles across top companies and apply now to boost your career.