business data analyst

Net2Source (N2S)

<div>
 
 
 Job Title: Business Data Analyst Lead - Core Banking Domain
 
 
 Job Location: Dubai, UAE
 
 
 Experience: 9+ Years
 
 
 Employment Type: Full time
 
 
 Experience
 
 <ul>
 <li>
 Expert-level proficiency in SQL, Python with SAS/R/Spark as plus
 </li>
 <li>
 Deep understanding of distributed data processing frameworks, particularly Apache Spark.
 </li>
 <li>
 Experience with cloud platforms (Azure, AWS) &amp;mdash; including Object storage, compute, networking, and data integration services.
 </li>
 <li>
 Familiarity with data modeling techniques, including schema design, partitioning, and performance tuning.
 </li>
 <li>
 Experience working with structured and semi-structured data formats (e.g., JSON, Parquet, Avro, XML).
 </li>
 <li>
 Knowledge of data governance, quality assurance, and compliance best practices.
 </li>
 <li>
 Solid grasp of core computer science fundamentals (e.g., data structures, search algorithms, queues) relevant to performance-critical data engineering
 </li>
 </ul>
 
 Thanks,
 
 Smriti
 
 
</div>

Data Analyst Lead

TMC Middle East

<div>
 
 We are looking for a
 
 data-driven Procurement Business Analyst
 
 to support a procurement system migration project with a leading government entity in Dubai.
 
 
 📍 Location: Dubai (Onsite)
 
 
 📅 Duration: 6 Months Contract
 
 
 ⚠️ Please apply ONLY if you meet the below criteria:
 
 
 &bull; 5+ years of hands-on procurement experience (PR/PO, RFQ, vendor coordination)
 
 
 &bull; Strong Excel skills (Pivot Tables, VLOOKUP/XLOOKUP, data cleaning, reporting)
 
 
 &bull; Experience working with procurement data (supplier records, PO data, reporting)
 
 
 &bull; Experience with ERP systems (SAP, Oracle, Ariba, etc.)
 
 
 &bull; Comfortable working with large datasets and data validation
 
 
 &bull; Fluent in Arabic &amp; English
 
 
 🚫 Profiles without strong Excel/data experience will not be considered
 
 
 🔹 Key Responsibilities:
 
 
 &bull; Procurement data migration and validation
 
 
 &bull; Data cleanup, accuracy, and governance
 
 
 &bull; Coordination with procurement teams and stakeholders
 
 
 &bull; Supporting system transition activities
 
 
 📩 If your experience matches the above, feel free to apply or share your CV to Abishake Kosman : abishake.kosman@tmc-employeneurs.com
 
</div>

Procurement Business Analyst (Data & Excel Focus) – Dubai

GSSTech 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
1. Insurance Domain Data Analysis<ul><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></ul>
2. Data Migration<ul><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></ul>
3. Master Data Management (MDM)<ul><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></ul>
4. Reporting &amp; Insights<ul><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&rsquo;s degree in data science, Computer Science, Statistics, Finance, or related field</li><li>4&ndash;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

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

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

<div>
 Understanding the project requirements, by conducting Business Discovery Sessions
 
 
  Work with internal teams like system support teams, DBA and MIS teams to translate the existing requirements into
 
 
 the desired mart and reports
 
 
  Prepare data mapping documents, needed for development of various layers of the data platform (raw &ndash; bronze,
 
 
 EDM &ndash; silver, project specific &ndash; gold)
 
 
  Support during various phases of the projects as needed by the data engineers, data modelers, QA testers and Power
 
 
 BI developers
 
 
  Collaborating with other developers, data analysts, and stakeholders to ensure that the software meets the needs of
 
 
 the business or organization
 
 
 Strong analytical and problem-solving skills to effectively design data solutions.
 
 
 <ul>
 <li>
 Banking Retail, Business &amp; Wholesale Product Knowledge and understanding
 </li>
 <li>
 Attention to detail and a commitment to delivering high-quality work.
 </li>
 <li>
 Excellent communication and teamwork skills to collaborate with cross-functional teams.
 </li>
 <li>
 Ability to manage time effectively and prioritize tasks in a dynamic work environment.
 
 
 </li>
 </ul>
 
  Technical Skills
 
 
 
 <ul>
 <li>
 Strong data querying and processing skills using SQL, Oracle, Apache Spark or similar language
 </li>
 <li>
 Data Visualization tools &ndash; Power BI, Business Objects, Crystal or similar tool
 </li>
 <li>
 Data Warehousing and ETL concepts
 
 
 </li>
 </ul>
 
  Competencies
 
 
 
 <ul>
 <li>
 Expert-level proficiency in SQL, Python with SAS/R/Spark as plus
 </li>
 <li>
 Deep understanding of distributed data processing frameworks, particularly Apache Spark.
 </li>
 <li>
 Experience with cloud platforms (Azure, AWS) &mdash; including Object storage, compute, networking, and data
 
 
 </li>
 </ul>
 integration services.
 
 
 <ul>
 <li>
 Familiarity with data modeling techniques, including schema design, partitioning, and performance tuning.
 </li>
 <li>
 Experience working with structured and semi-structured data formats (e.g., JSON, Parquet, Avro, XML).
 </li>
 <li>
 Knowledge of data governance, quality assurance, and compliance best practices.
 </li>
 <li>
 Solid grasp of core computer science fundamentals (e.g., data structures, search algorithms, queues)
 
 
 </li>
 </ul>
 relevant to performance-critical data engineering
</div>

Data Analyst - ERP Project

Majid Al Futtaim

<div>
 
 
 ROLE SUMMARY
 
 
 
 Support the Sales Operations team by owning and analyzing business data across sales, collections, broker performance, and customer transactions. The role focuses on turning data into meaningful insights, identifying trends, and supporting decision-making through clear reporting and presentations.
 
 
 
 
 
 ROLE PROFILE
 
 
 <ul>
 <li>
 Analyze sales, collections, broker activity, and customer data to identify trends, risks, and opportunities
 </li>
 <li>
 Develop dashboards and presentations highlighting key insights and actionable recommendations
 </li>
 <li>
 Monitor key metrics such as sales conversion, collections, defaulters, and broker performance
 </li>
 <li>
 Ensure accuracy and integrity of data across CRM systems (sales, customer, broker records)
 </li>
 <li>
 Identify data gaps and inconsistencies, and drive improvements in data quality
 </li>
 <li>
 Support forecasting, performance tracking, and periodic reporting for leadership reviews
 </li>
 <li>
 Collaborate with Sales, Finance, Legal, and CRM teams to validate data and ensure alignment
 </li>
 <li>
 Enhance reporting efficiency through process improvements, automation, and documentation of data standards
 </li>
 </ul>
 
 
 
 
 REQUIREMENTS
 
 
 
 
 <ul>
 <li>
 Strong analytical skills with the ability to interpret data and identify trends
 </li>
 <li>
 Advanced Excel skills (pivot tables, lookups, basic modelling)
 </li>
 <li>
 Working knowledge of CRM tools (e.g., Salesforce)
 </li>
 <li>
 Ability to create clear, structured presentations from data (PowerPoint)
 </li>
 <li>
 Understanding of sales cycles, collections tracking, and performance metrics
 </li>
 <li>
 Bachelor&rsquo;s degree with 1&ndash;3 years of relevant experience; detail-oriented, reliable, and able to translate data into actionable insights
 </li>
 </ul>
 
 
</div>

Emirati Talent - Senior Data Analyst

Explore 1566+ Business data analyst in Dubai this April. Find roles across top companies and apply now to boost your career.