data analyst and visual content designer (uae national)

business analyst

data analyst & visualization specialist Jobs in Dubai

data analyst & visualization specialist

data analyst - insurance domain Jobs in Dubai

data analyst - insurance domain

data analyst and visual content designer (uae national) Jobs in Dubai

junior data analyst - emirati Jobs in Dubai

junior data analyst - emirati

data analyst

MultiBank Group

<div>Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 17+ financial regulators across 5 continents, and recipient of over 70 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking a Data Analyst to join our quantitative dealing team and support the reliability and accuracy of business-critical trading data reporting. In this role, you will focus on monitoring, validating, and reconciling analytical outputs, ensuring consistency across datasets and timely resolution of discrepancies raised by stakeholders.
You will work closely with Quantitative Analysts and multiple internal teams, playing a key role in the quantitative dealing team&rsquo;s daily operations while gaining hands-on exposure to production data, reporting pipelines, and analytical processes. Beyond maintaining reporting outputs, you will work on validating trading and risk metrics, investigating discrepancies, and supporting the continuous improvement of analytical frameworks used in daily decision-making. This role offers involvement with real trading data, critical risk management processes, and modern data infrastructure, making it an excellent opportunity for an early-career professional or recent graduate looking to grow within a quantitative dealing environment.
Key Responsibilities<ul><li>
Monitor and validate daily and periodic reports to ensure accuracy, consistency, and alignment with agreed definitions and benchmarks.</li><li>
Perform first-level reconciliation and discrepancy analysis across multiple data sources, identifying root causes and documenting findings.</li><li>
Support reporting processes by maintaining datasets, applying changes to filters or parameters, and validating changes prior to release.</li><li>
Contribute to the quality and reliability of data inputs used in risk management and hedging decisions.</li><li>
Use Excel, SQL, and Python to extract, compare, and analyze structured datasets for reporting and reconciliation purposes.</li><li>
Support backtesting and critical verification of existing risk management and dealing algorithms, helping assess their behavior under different scenarios and historical conditions.</li><li>
Assist in documenting reporting logic, data assumptions, and procedural changes to improve transparency and reduce future discrepancies.</li><li>
Collaborate with Quantitative Analysts, dealers, and other stakeholders to support smooth daily operations and data-driven decision-making.</li><li>
Gain exposure to sophisticated cloud-based data and analytics services, contributing to the evolution of scalable and automated workflows.</li></ul>
Qualifications &amp; Skills<ul><li>
Strong attention to detail and a methodical approach to working with data, particularly in accuracy-critical environments.</li><li>
Basic working knowledge of Python for data analysis and manipulation.</li><li>
Basic to intermediate SQL skills for querying and validating structured datasets.</li><li>
High proficiency in Excel, including data reconciliation, formulas, and structured analysis.</li><li>
Ability to work with multiple data sources and identify inconsistencies or anomalies.</li><li>
Strong motivation to learn, take ownership of tasks, and grow technical skills through hands-on experience.</li><li>
Good communication skills and the ability to clearly document findings and explain to technical and non-technical stakeholders.</li><li>
Degree in a quantitative field such as Data Science, Statistics, Economics, Finance, or a related discipline is preferred.</li><li>
A genuine interest in trading and financial markets is desirable.</li></ul>
Why Join Us?<ul><li>
Work with an industry-leading global financial institution.</li><li>
Competitive salary and comprehensive employee benefits.</li><li>
Opportunities for professional growth and career advancement.</li><li>
Collaborative, inclusive, and dynamic work environment.</li><li>
Commitment to innovation and professional excellence.</li></ul>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group combines prime liquidity, cutting-edge technology, and first-class service to deliver advanced trading platforms to clients worldwide.
Our mission is to provide exceptional products and services to our clients &mdash; and we continue to invest heavily in technology and regulation to benefit our customers and the financial industry as a whole.
As the most heavily regulated financial derivatives group, MultiBank Group maintains an unblemished regulatory record with all its regulators.
Positions available across our 25+ global offices &mdash; Dubai, Hong Kong, Singapore, London, Sydney, and more. Learn more: www.multibankgroup.com
MultiBank Group is an equal opportunity employer committed to diversity and inclusion. By submitting your application, you agree that your personal data will be processed in accordance with our Privacy Policy.</div>

Data Analyst

IPS Intelligent Process Solutions

<div>
 
 
 Data Analyst
 
 
 
 
 
 
 full-time position | hybrid work | Dubai (UAE)
 
 
 
 
 
 We are a rapidly growing international software company, with a global presence in the electrical energy industry. We provide advanced, specialized, valuable solutions and support to customer organizations worldwide to transform data into real-world intelligence for critically important business and technical decisions. We specialize in Enterprise Asset Management (EAM), Asset Performance Management (APM), Protection &amp; IED, Network Model Management (NMM), Outage System Management (OMS) software, and analytics. IPS&reg;SYSTEMS offers outstanding and innovative solutions for the Global Energy Industry.
 
 
 
 
 
 Do you want to contribute to the digital future? The IPS Global Group is looking for a
 
 Data Analyst
 
 
 
 
 
 
 
 Your Responsibilities
 
 
 <ul>
 <li>
 Write and optimize SQL queries to extract, transform, and analyze data from multiple sources
 </li>
 <li>
 Use Python and C# or other required technology to automate data collection, cleaning, and analysis processes, improving efficiency and accuracy
 </li>
 <li>
 Developing and writing algorithms for complex data analysis tasks and working with the team on the development of AI/ML features
 </li>
 <li>
 Collaborate with both technical and non-technical team members and clients to understand business needs and design appropriate solutions
 </li>
 <li>
 Develop an in-depth understanding of customer requirements and translate them to the development and integration team to deliver solutions in an agile environment
 </li>
 <li>
 Deploy, maintain, and troubleshoot core business applications, including application servers, endpoints, and databases
 </li>
 <li>
 Develop, analyze, prioritize, and organize requirement specifications, data mapping, diagrams, and flowcharts for developers and testers to follow
 </li>
 <li>
 Developing reports, dashboards, compelling visualizations, and presentations to communicate strategic findings and presenting these insights as recommendations to key stakeholders
 </li>
 <li>
 Guide the customer on how to optimize their software usage to get the best out of our products and provide technical support to customers, testing applications, maintenance and responding to customer feedback
 </li>
 <li>
 Providing support and demonstrations for the technical sales process, tendering and solutions based on customer requirements in cooperation with the development team
 </li>
 <li>
 Support for the creation of technical documents, such as user and operational documentation, data models as well as training documentation
 </li>
 <li>
 Responsible for all technical matters regarding the analysis and verification of application-related customer data
 </li>
 <li>
 Support solution and product, configuration, implementation, testing and documentation
 </li>
 <li>
 Be involved in all project phases; from design, configuration, workshops, and documentation, to test case definition and execution
 </li>
 </ul>
 
 
 
 
 
 Your Energy
 
 
 <ul>
 <li>
 Degree in Electrical Engineering or equivalent technical degree
 </li>
 <li>
 More than three years of professional experience, ideally with domain knowledge in the energy industry
 </li>
 <li>
 Proficiency in creating and maintaining technical documentation, including business process models, data models, and functional specifications
 </li>
 <li>
 Good command of Microsoft SQL Server, programming skills in C#, ETL frameworks and software configuration
 </li>
 <li>
 Good command of SQL, data modeling, Python programming, and data analytics
 </li>
 <li>
 Demonstrated experience in managing large data sets and relational databases
 </li>
 <li>
 Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with accuracy
 </li>
 <li>
 Strong communication skills and ability to provide technical support to customers as well as to develop good relationships with them
 </li>
 <li>
 Proven experience in Agile/Scrum and/or Waterfall project delivery and working with PM tools (MS Project, JIRA, etc.)
 </li>
 </ul>
 
 
 
 
 
 What we offer
 
 
 <ul>
 <li>
 An interesting and varied position in a world-leading, internationally active company where you will have the opportunity to be involved in projects worldwide
 </li>
 <li>
 Working with the latest technology
 </li>
 <li>
 Culture of trust, teamwork, empowerment, and constructive feedback
 </li>
 <li>
 Possibility for further career advancement in a successful, growing company
 </li>
 <li>
 Your development &ndash; our commitment: career opportunities based on each profile and supporting each employee to achieve their professional and career goals
 </li>
 </ul>
</div>

Virtusa

<div>
 Data Analyst &ndash; CRM Project
 
 
 Domain Knowledge- Banking
 
 
 Strong understanding of customer and relationship data in banking.
 
 
 
 Familiarity With Concepts Such As
 
 
 
 Customer profiles
 
 
 Customer segmentation
 
 
 Customer interactions
 
 
 Customer lifecycle data.
 
 
 Functional Responsibilities
 
 
 Identify and integrate customer-related data across multiple banking systems.
 
 
 Support the creation of customer 360 datasets for banks
 
 
 Develop source-to-target mappings for CRM data ingestion for banks
 
 
 Define transformation logic for customer data consolidation for banks
 
 
 Support development of customer data marts and CRM reporting structures at banks
 
 
 Validate customer data consistency across systems in banking environment
 
 
 
 Preferred Experience
 
 
 
 CRM implementations in banks
 
 
 Customer analytics platforms for banks
 
 
 Customer data management initiatives for banks
</div>

Data Analyst CRM

PRYPCO

<div>
 
 About PRYPCO
 
 
 
 PRYPCO is a Dubai-based proptech company transforming real estate investment through fractional ownership, blockchain-enabled tokenization, and end-to-end property services.
 
 
 In partnership with the Dubai Land Department and VARA, PRYPCO provides access to premium real estate opportunities in a regulated and innovative environment.
 
 
 
 About The Role
 
 
 
 We are looking for a Product Data Analyst to help PRYPCO make better decisions through data. You will work closely with product and business teams to define metrics, analyse performance, identify opportunities, and build dashboards. This role is ideal for someone who combines strong analytical skills with business curiosity and can turn data into practical actions.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Understanding PRYPCO's business, products, and processes through data
 </li>
 <li>
 Partnering with product and business teams to support decision-making with clear analysis and insights
 </li>
 <li>
 Defining, improving, and tracking key business and product metrics
 </li>
 <li>
 Building and maintaining dashboards in Metabase and Power BI
 </li>
 <li>
 Investigating trends, anomalies, and root causes in data
 </li>
 <li>
 Supporting self-service analytics by improving data accessibility and usability
 </li>
 <li>
 Promoting data literacy across the organization through guidance, documentation, and workshops
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 Previous experience in a Data Analyst or similar analytical role
 </li>
 <li>
 Strong SQL skills and experience working with complex datasets
 </li>
 <li>
 Good knowledge of Python or other programming languages
 </li>
 <li>
 Experience building dashboards and reports for business and product stakeholders
 </li>
 <li>
 Ability to turn data into clear insights and actionable recommendations
 </li>
 <li>
 Strong communication skills and the ability to work effectively with cross-functional teams
 </li>
 <li>
 Comfortable operating in a fast-paced environment with changing priorities
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience in PropTech, FinTech, or other fast-scaling businesses
 </li>
 <li>
 Experience supporting product teams with experimentation, funnel analysis, or performance measurement
 </li>
 <li>
 Familiarity with data modelling, semantic layers, or data warehouse environments
 </li>
 </ul>
</div>

Data Analyst (Product)

dubizzle

<div>
 
 Bayut &amp; dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience.
 
 
 As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.
 
 
 As a Data Analyst - Intern, you will be in a central position as you will be evangelising data and our methodologies to other functional analysts and other stakeholders in the company.
 
 
 You will have close interaction with teams in marketing, sales, finance, and product. You will work in a fast-paced environment that is professional, international and entrepreneurial.
 
 
 
 
 In this role, you will:
 
 
 <ul>
 <li>
 Access data, construct and manipulate large datasets to support planned analyses using SQL, Python and similar tools
 </li>
 <li>
 Design and develop BI dashboards using Sisense or similar tools (Tableau, PowerBI, DataStudio) for various organisational metrics and indicators using best practices and industry standards in finance, sales, inventory, and other areas
 </li>
 <li>
 Help with defining KPIs metrics and drive the data governance through standardisation and communication;
 </li>
 <li>
 Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements
 </li>
 <li>
 Adept at queries, report writing and presenting findings
 </li>
 <li>
 Research and validate entity data using appropriate internal and external data sources
 </li>
 <li>
 Liaise and analyse across projects within the Reference Data environment
 </li>
 <li>
 Analyzing, specifying, testing and implementing interfaces, workflow solutions, and reference data solutions - An example would be regression testing systems ahead of upgrades
 </li>
 <li>
 Participate in the design, implementation and interpret experiments/trials for continuous refinement of ongoing strategies
 </li>
 
 
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in statistics, mathematics, computer science, or related field
 </li>
 <li>
 Proficient in SQL
 </li>
 <li>
 Proficient in Microsoft Excel.
 </li>
 <li>
 Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.)
 </li>
 <li>
 Excellent verbal and written communication.
 </li>
 <li>
 Strong problem solving skills
 </li>
 
 
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Ability to contribute to a platform used by more than 5M users in UAE and other platforms in the region
 </li>
 <li>
 Strengthen your resume and build your network
 </li>
 <li>
 Opportunity to find a full time career with the region's leading organization
 </li>
 <li>
 Working in a multicultural environment with over 60 different nationalities
 </li>
 <li>
 Access to the Learning &amp; Development tools and courses provided by the company
 </li>
 </ul>
 
 Bayut &amp; dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 
 
 #dubizzle
 
</div>

Data Analyst - Intern

HireAlpha

<div>
 
 Role Overview
 
 
 We are seeking an experienced Senior Data Analyst with deep expertise in SQL, data mapping, data marts, and data warehousing, along with significant exposure to the banking domain (last 5&ndash;6 years). The ideal candidate will play a critical role in transforming business requirements into scalable data solutions and enabling data-driven decision-making.
 
 
 
 
 
 Key Responsibilities
 
 
 Design, develop, and optimize complex SQL queries for data extraction, transformation, and analysis
 
 
 Lead data mapping and data lineage activities across multiple systems
 
 
 Develop and maintain data marts and enterprise data warehouse (EDW) structures
 
 
 Collaborate with business stakeholders to understand requirements and translate them into data models and analytical solutions
 
 
 Ensure data quality, consistency, and integrity across systems
 
 
 Work closely with ETL teams to define and validate data transformation logic
 
 
 Perform data analysis and profiling to support reporting and regulatory requirements
 
 
 Support banking-specific analytics use cases (e.g., risk, compliance, customer analytics, transactions)
 
 
 Document data flows, mappings, and technical specifications
 
 
 Mentor junior analysts and provide technical guidance
 
 
 Required Skills &amp; Experience
 
 
 13+ years of experience in Data Analytics roles
 
 
 Strong expertise in:
 
 
 SQL (advanced level &ndash; complex joins, performance tuning, optimization)
 
 
 Data Mapping &amp; Data Lineage
 
 
 Data Warehousing concepts (Star/Snowflake schemas)
 
 
 Data Mart design and implementation
 
 
 Solid understanding of ETL processes and data pipelines
 
 
 Experience working with large-scale relational databases (e.g., Oracle, SQL Server, Teradata, etc.)
 
 
 Strong analytical and problem-solving skills
 
</div>

Lead Data Analyst

Revolut

<div>
 
 
 About Revolut
 
 
 
 
 
 
 People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 70+ million customers get more from their money every day.
 
 
 
 
 
 As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
 
 
 
 
 
 
 About the role
 
 
 
 
 
 
 Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.
 
 
 
 
 
 We&rsquo;re looking for a Data Analyst who can dig into our complex databases, look for the root cause of a problem, and design their own solutions by writing codes to implement them.
 
 
 
 
 
 Up to shape what's next in finance? Let's get in touch.
 
 
 
 
 
 
 What you'll be doing
 
 
 
 
 
 <ul>
 <li>
 Building and maintaining trusted datasets for reporting and analytics, working across multiple source systems and owners
 </li>
 <li>
 Supporting database sharding and data residency programme
 </li>
 <li>
 Validating data accuracy between source systems and replicated datasets, and investigating discrepancies
 </li>
 <li>
 Owning the delivery around requirements, data mapping, transformation logic, scheduling, monitoring, and fixes
 </li>
 <li>
 Defining, implementing, and documenting business metrics with clear lineage so reporting is consistent and audit-ready
 </li>
 <li>
 Creating and maintaining new aggregated views and tables to simplify data querying
 </li>
 <li>
 Coordinating across Product Engineering, DevOps/SRE, and Data to unblock ETL delivery, manage dependencies, and ensure pipelines meet reliability and data quality expectations
 </li>
 <li>
 Maintaining documentation and governance, such as dataset specs, metric definitions, lineage, access classification, and change notes
 </li>
 <li>
 Partnering with stakeholders to turn questions into data products that are audit-ready and scalable
 </li>
 </ul>
 
 
 
 
 
 What you'll need
 
 
 
 
 
 <ul>
 <li>
 5+ years of experience in an analytical role, creating impactful data-driven solutions
 </li>
 <li>
 A solid background/education in a quantitative discipline
 </li>
 <li>
 Great skills with Python, SQL, or other programming languages
 </li>
 <li>
 Experience with financial services datasets (payments, ledger, reconciliations, fraud/risk, regulatory reporting).
 </li>
 <li>
 Demonstrated experience implementing data quality controls and reconciliation checks for replicated or high-stakes datasets
 </li>
 <li>
 Evidence of exceptional mathematical and statistics knowledge
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 
 
 
 <ul>
 <li>
 An advanced degree in a core STEM subject
 </li>
 <li>
 Knowledge of data governance practices (sensitivity classification, access controls, ownership models)
 </li>
 <li>
 Familiarity with orchestration and transformation tooling (Airflow or similar)
 </li>
 <li>
 Experience building dashboards in Looker
 </li>
 </ul>
 
 
 
 
 
 Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
 
 
 
 
 
 
 
 
 Important notice for candidates:
 
 
 
 
 
 Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.
 
 
 
 
 &bull;
 
 
 
 Only apply through official Revolut channels.
 
 
 
 We don&rsquo;t use any third-party services or platforms for our recruitment.
 
 
 
 
 &bull;
 
 
 
 Always double-check the emails you receive.
 
 
 
 Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.
 
 
 
 
 
 We won't ask for payment or personal financial information during the hiring process.
 
 
 
 If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
 
 
 
 
 
 
 
 By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice
 
 
 
 
</div>

Data Analyst (Engineer)

Explore 765+ Data analyst in Dubai this April. Find roles across top companies and apply now to boost your career.

765 data analyst jobs In Dubai

Data Analyst

Data Analyst

Data Analyst CRM

Data Analyst (Product)

Data Analyst - Intern

Lead Data Analyst

Data Analyst (Engineer)