business analyst

ai business analyst – banking & insurance Jobs in Abu Dhabi

ai business analyst – banking & insurance

senior data analyst

technical business analyst Jobs in Abu Dhabi

technical business analyst

business analyst- banking & fintech Jobs in Abu Dhabi

business analyst- banking & fintech

business data analyst

Joud Coffee

<div>
 
 The role
 
 
 
 You will own our BI stack end-to-end: ingesting data, building clean models, and delivering clear dashboards that drive action. You&rsquo;ll partner with Operations, Finance, Marketing, and Supply Chain to surface the metrics that matter (AOV, attachment rate, COGS, labor %, waste, menu mix, cohort retention, store P&amp;L, campaign ROI, etc.).
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design, build, and maintain Power BI dashboards (DAX, Power Query) for daily/weekly exec and outlet views.
 </li>
 <li>
 Model and transform data from POS, ERP, inventory, and other sources into a single source of truth.
 </li>
 <li>
 Publish and govern datasets, set refresh schedules, and manage row-level security.
 </li>
 <li>
 Build automated KPI packs (email/Teams summaries) and self-serve datasets for stakeholders.
 </li>
 <li>
 Deep-dive analyses: menu engineering, price tests, promo/seasonality, forecasting, and store benchmarking.
 </li>
 <li>
 Create clear documentation, data dictionaries, and how-to guides for non-technical users.
 </li>
 <li>
 QA data quality; resolve anomalies with vendors and internal teams.
 </li>
 <li>
 Support ad-hoc questions with fast queries and crisp narratives that drive decisions.
 
 
 </li>
 </ul>
 
 Must-have Qualifications
 
 
 
 <ul>
 <li>
 3+ years in analytics/BI; at least 2 years hands-on with Microsoft BI (Power BI, Power Query, DAX).
 </li>
 <li>
 Strong SQL (joins, CTEs, window functions) and data modeling (star/snowflake).
 </li>
 <li>
 Proven record turning messy operational data into simple executive dashboards.
 </li>
 <li>
 Business acumen in F&amp;B/retail (store ops, margins, inventory, promos).
 </li>
 <li>
 Excellent communication: you can translate analysis into action for non-analysts.
 </li>
 <li>
 Ownership mindset; comfortable working at speed with imperfect data.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with Foodics POS, Microsoft Dynamics 365 Business Central, Supy, or similar systems.
 </li>
 <li>
 Python for analysis/automation; Power Automate/Power Apps for light workflows.
 </li>
 <li>
 Forecasting/experimentation (baseline vs. lift, cohort retention, seasonality).
 </li>
 <li>
 Arabic language skills.
 
 
 </li>
 </ul>
 
 Tools &amp; data sources you&rsquo;ll touch
 
 
 
 Power BI (Service/Desktop), DAX, Power Query, SQL Server/Azure SQL, Excel, Dynamics 365 BC, POS exports (e.g., Foodics), inventory/procurement, staffing/labor, marketing &amp; e-commerce.
</div>

Business Data Analyst (Microsoft BI) — F&B

Dimension Real Estate Brokers

Job Opportunity: Data Analyst &mdash; Real Estate CompanyWe are looking for a Data Analyst to join our real estate team. The ideal candidate will be responsible forcollecting, organizing, and analyzing data related to landlords and clients. You will create detailed summariesand maintain accurate records for large datasets to support business decisions.Key Responsibilities:Collect and consolidate data from various sources regarding landlords and clients.Analyze and organize data to create clear and concise reports.Maintain accurate and up-to-date records of all data entries.Provide insights and summaries to assist management in decision-making.Requirements:Strong analytical and data management skills.Proficiency in Excel, Google Sheets, or other data management tools.Attention to detail and accuracy in handling large volumes of data.Prior experience in real estate data analysis is a plus.Job Type: Full-timePay: AED3,000.00 - AED4,000.00 per month

Senior Data Analyst

M42 Health

<div>
 
 Overview
 
 
 
 M42 delivers comprehensive healthcare services across the full continuum of care; from primary care to advanced specialty treatments. Leveraging cutting-edge health technologies and precision medicine, we ensure the highest standards of effectiveness, efficiency, and patient-centered outcomes. With a global presence spanning more than 480 facilities in 27 countries and a dedicated workforce of over 20,000 professionals, M42 is uniquely positioned to redefine the future of healthcare on a global scale.
 
 
 M42&rsquo;s Integrated Health Solutions (IHS) platform leads national programs and population health initiatives while addressing global health disparities through precision, prevention, and predictive care. Uniting expertise in genomics, biobanking, data services, environmental sciences, and clinical research and trials, IHS delivers innovative, evidence-based solutions that advance both regional and global health. Its flagship programs include the Emirati Genome Program (EGP), enabling personalized healthcare; the Abu Dhabi BioBank, supporting drug discovery and biobanking; and Biogenix Labs, driving precision medicine with Next-Generation Sequencing (NGS). In addition, Environmental Sciences investigates non-human factors influencing public health, while IROS fosters innovation through world-class clinical research. Together, these initiatives reflect M42&rsquo;s commitment to healthier communities and a more sustainable future.
 
 
 As the Business Intelligence Analyst, you will independently translate business requirements into actionable data insights. The role involves defining KPIs, analysing large and complex datasets, and delivering clear, compelling data stories through advanced visualization and analytics tools. As the analyst you will engage with business stakeholders to embed data-driven thinking and champion the use of BI and analytics tools for smarter, faster decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Partner with business and clinical teams to understand needs, translate them into analytics solutions, and define KPIs that measure performance and outcomes.
 </li>
 <li>
 Design, build, and maintain BI dashboards and reports that support strategic, operational, and clinical decision-making.
 </li>
 <li>
 Develop advanced SQL queries and work with large, complex datasets from multiple systems while ensuring data accuracy and consistency.
 </li>
 <li>
 Use Python or R for data wrangling, statistical analysis, and predictive analytics when required.
 </li>
 <li>
 Collaborate closely with engineering teams on ETL/ELT pipelines, data transformations, and data warehouse enhancements.
 </li>
 <li>
 Apply strong knowledge of Data Warehousing concepts, including:
 </li>
 <li>
 Star &amp; snowflake schemas.
 </li>
 <li>
 Fact/dimension table design.
 </li>
 <li>
 Data modelling and data integration best practices
 </li>
 <li>
 Present insights effectively through clear storytelling, data visualization, and concise presentations.
 </li>
 <li>
 Manage analytics projects end-to-end, working independently to deliver high-quality outputs on time.
 </li>
 <li>
 Maintain strong data governance standards, ensuring accuracy, transparency, documentation, and compliance with internal quality practices.
 </li>
 <li>
 What We&rsquo;re Looking For
 </li>
 <li>
 A strong blend of technical analytics expertise and business consulting skills.
 </li>
 <li>
 Ability to work confidently with enterprise data warehouse environments and ensure high-quality, reliable data for reporting and analytics.
 </li>
 <li>
 Someone who can influence decisions across healthcare, diagnostics, and operational teams using data-driven insights.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Analytics, Statistics, or a related field; Master&rsquo;s degree is a plus.
 </li>
 <li>
 BI certifications (e.g., Microsoft Power BI) are preferred but not required.
 </li>
 <li>
 Advanced Power BI expertise, including data modeling, DAX, and strong visualization skills.
 </li>
 <li>
 Strong SQL proficiency, with experience writing optimized queries, complex joins, procedures, and working with large datasets.
 </li>
 <li>
 Hands-on experience with Python or R for data preprocessing, statistical analysis, and analytical modeling.
 </li>
 <li>
 Solid understanding of ETL/ELT pipelines, data transformations, and enterprise data warehouse concepts (star/snowflake schemas, fact/dimension modelling).
 </li>
 <li>
 Ability to work confidently with large, complex, multi-source datasets and ensure data quality and consistency.
 </li>
 <li>
 Familiarity with predictive analytics and statistical methods (preferred but not required).
 </li>
 <li>
 Excellent data storytelling and presentation skills, able to turn insights into clear, actionable recommendations.
 </li>
 <li>
 Strong critical-thinking, problem-solving, and analytical reasoning capabilities.
 </li>
 <li>
 Highly independent, proactive, and solution-oriented, with the ability to manage end-to-end analytics projects.
 </li>
 <li>
 Strong communication and stakeholder management skills, able to collaborate with technical and non-technical teams.
 </li>
 <li>
 Prior experience in healthcare, diagnostics, or life sciences analytics is a strong advantage.
 </li>
 <li>
 BI certifications (e.g., Microsoft Power BI) are preferred but not required.
 </li>
 <li>
 Hands-on experience with Microsoft Fabric, including its data-platform components, dataflows/pipelines, or lakehouse/warehouse architecture is highly desired.
 </li>
 </ul>
</div>

Business Intelligence Analyst

Asteco

<div>
 
 
 Job Purpose
 
 
 
 The primary purpose of a Data Analyst is to extract meaningful insights from data sets, enabling organizations to make informed decisions. This role involves collecting, organizing, and analyzing large volumes of data to identify trends, patterns, and correlations that drive business strategies, optimize processes, and solve problems. Data Analysts also create reports, visualizations, and dashboards to communicate findings effectively to stakeholders and collaborate with teams such as business development, marketing, and operations to provide analytical support.
 
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 1. Data Collection and Cleaning
 
 
 <ul>
 <li>
 Collect data from various sources (databases, spreadsheets, APIs, etc.).
 </li>
 <li>
 Clean and preprocess data to ensure accuracy, completeness, and consistency.
 </li>
 </ul>
 
 
 
 
 
 2. Data Analysis
 
 
 <ul>
 <li>
 Conduct exploratory data analysis (EDA) to understand data characteristics.
 </li>
 <li>
 Apply statistical techniques and algorithms to extract insights.
 </li>
 <li>
 Identify trends, patterns, correlations, and anomalies.
 </li>
 <li>
 Perform predictive analysis and modeling for forecasting.
 </li>
 </ul>
 
 
 
 
 
 3. Data Visualization and Reporting
 
 
 <ul>
 <li>
 Create charts, graphs, and dashboards to present insights.
 </li>
 <li>
 Design and develop reports for stakeholders.
 </li>
 <li>
 Ensure visualizations are clear, informative, and aligned with business objectives.
 </li>
 </ul>
 
 
 
 
 
 4. Data Interpretation and Recommendations
 
 
 <ul>
 <li>
 Translate analysis results into actionable recommendations.
 </li>
 <li>
 Collaborate with stakeholders to understand needs and provide insights.
 </li>
 <li>
 Support decision-making with relevant data.
 </li>
 </ul>
 
 
 
 
 
 5. Database Management and Querying
 
 
 <ul>
 <li>
 Manage databases ensuring integrity and security.
 </li>
 <li>
 Write SQL queries for data retrieval and manipulation.
 </li>
 <li>
 Optimize database performance.
 </li>
 </ul>
 
 
 
 
 
 6. Continuous Learning and Improvement
 
 
 <ul>
 <li>
 Stay updated with latest tools, technologies, and best practices in data analytics.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a related field (Statistics, Mathematics, Computer Science, Economics, Engineering, or IT).
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 
 3 to 5 years
 
 in data analysis or related roles.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Proficiency in programming languages (Python, R, SQL).
 </li>
 <li>
 Strong knowledge of statistical analysis techniques.
 </li>
 <li>
 Experience with data visualization tools (Tableau, Power BI, matplotlib/seaborn).
 </li>
 </ul>
 
 
</div>

Bybit

<div>
 
 
 About Bybit
 
 
 
 Established in March 2018, Bybit is one of the fastest growing cryptocurrency derivatives exchanges, with more than 70 million registered users. We offer a professional platform where crypto traders can find an ultra-fast matching engine, excellent customer service and multilingual community support. We provide innovative online spot and derivatives trading services, mining and staking products, as well as API support, to retail and institutional clients around the world, and strive to be the most reliable exchange for the emerging digital asset class.
 
 
 
 
 
 Our core values define us. We listen, care, and improve to create a faster, fairer, and more humane trading environment for our users. Our innovative, highly advanced, user-friendly platform has been designed from the ground-up using best-in-class infrastructure to provide our users with the industry's safest, fastest, fairest, and most transparent trading experience. Built on customer-centric values, we endeavour to provide a professional, 24/7 multi-language customer support to help in a timely manner.
 
 
 
 
 
 As of today, Bybit is one of the most trusted, reliable, and transparent cryptocurrency derivatives platforms in the space.
 
 
 
 
 
 
 Job Overview
 
 
 
 We are seeking a data-driven professional with extensive hands-on experience in big data analytics to join our team. The ideal candidate will be responsible for transforming complex datasets into clear, actionable insights that drive strategic business decisions. This role requires strong technical proficiency in data analytics tools, programming languages, and visualization platforms, along with the ability to manage multiple projects in a fast-paced environment. The candidate should demonstrate exceptional problem-solving skills, analytical thinking, and the ability to deliver accurate, insightful reports that support business growth and operational efficiency.
 
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Based on business goals and business models, establish a comprehensive, accurate, and objective indicator system and monitoring and analysis framework. At the same time, based on the business monitoring and analysis framework, clearly understand the overall business situation and locate business issues;
 </li>
 <li>
 Through thematic analysis, conduct in-depth analysis of business issues, provide data support and decision-making basis for company operational decisions, marketing strategies, product directions, etc.;
 </li>
 <li>
 Precipitation analysis method and monitoring framework, extract data product requirements, collaborate with relevant teams (such as development team, product team) and promote the landing of data products;
 </li>
 <li>
 Collaborate with relevant teams to organize training and sharing of concepts, skills, methods, and tools related to data technology.
 </li>
 </ul>
 
 
 
 
 
 
 Job Requirements
 
 
 <ul>
 <li>
 Bachelor's degree or above in statistics, mathematics, information technology, or economics, with 3-5 years of relevant work experience;
 </li>
 <li>
 Experience in digital currency, internet, and e-commerce is preferred;
 </li>
 <li>
 Good logical analysis ability and data sensitivity, able to extract core results from massive data, timely discover and analyze deep changes and root causes behind business appearances;
 </li>
 <li>
 Proficient in data extraction tools such as SQL, proficient in operating tools such as Excel, PPT, Tableau, etc.;
 </li>
 <li>
 Strong logical thinking ability, outstanding language expression ability, proficient in independently writing business Data Analysis reports;
 </li>
 <li>
 Good business knowledge and understanding of business mechanisms and models, able to insight into business opportunities from the perspective of business development;
 </li>
 <li>
 Outstanding communication and teamwork skills, with certain XFN and cross-team project experience, able to independently promote project execution.
 </li>
 <li>
 Fluent English skills
 </li>
 <li>
 Strong adaptability and time management skills to thrive in a fast-paced work environment
 </li>
 </ul>
 
 
</div>

Data Analyst Expert

Dautom

<div>
 
 
 Role:
 
 Technical Business Analyst
 
 
 
 Location:
 
 Abu Dhabi
 
 
 
 Notice Period:
 
 Immediate joiners preferred
 
 
 
 
 
 
 Note:
 
 We are looking for candidates who have transitioned from a software development role to a Business Analyst role.
 
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking an experienced Business Analyst with strong expertise in API integrations, Microsoft Dynamics CRM, and Microsoft ERP. Candidates with experience in travel or tourism technology will be given preference.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Gather, document, and analyze business requirements from stakeholders.
 </li>
 <li>
 Collaborate with technical teams on API and system integrations between CRM, ERP, and other platforms.
 </li>
 <li>
 Conduct gap analysis, prepare functional specifications, and support UAT activities.
 </li>
 <li>
 Ensure seamless data flow and process alignment across systems.
 </li>
 <li>
 Work closely with business and IT teams to ensure timely, high-quality deliverables.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Business Analyst in IT or related domains.
 </li>
 <li>
 Strong knowledge of Microsoft Dynamics CRM and ERP.
 </li>
 <li>
 Proven experience in API integration and interface design.
 </li>
 <li>
 Excellent analytical, documentation, and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Interested candidates, please share your CV at:
 
 kajal.samiulla@dautom.com
 
</div>

Technical Business Analyst

Astra Tech

<div>
 
 
 
 Role Summary
 
 
 
 
 
 
 
 We are looking for a
 
 Business Analyst &ndash; Collections
 
 to drive data-led insights and strategies across our lending and collections functions. The role will focus on analyzing portfolio performance, identifying trends and risks, and developing actionable recommendations to improve recovery, reduce credit risk, and enhance operational efficiency. You will collaborate with cross-functional teams to translate data into strategy and support the design and optimization of collection processes.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 <ul>
 <li>
 Analyze data across the credit lifecycle to identify trends, risks, and opportunities in collections performance.
 </li>
 <li>
 Develop and maintain dashboards, reports, and KPIs to monitor portfolio health and recovery effectiveness.
 </li>
 <li>
 Partner with stakeholders in Credit, Collections, Risk, and Operations to define business requirements and translate them into actionable insights.
 </li>
 <li>
 Support the design and implementation of collection strategies and delinquency management frameworks.
 </li>
 <li>
 Conduct root cause analyses of portfolio performance issues and recommend corrective measures.
 </li>
 <li>
 Leverage BI and analytics tools (SQL, Power BI, Tableau, etc.) to generate insights and automate reporting.
 </li>
 <li>
 Ensure adherence to internal policies, regulatory guidelines, and industry best practices.
 </li>
 </ul>
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 <ul>
 <li>
 Proven experience as a
 
 Business Analyst
 
 within lending, credit, or collections functions.
 </li>
 <li>
 Strong understanding of the
 
 credit lifecycle
 
 , loan products, and collection processes.
 </li>
 <li>
 Hands-on expertise with
 
 BI and data analytics tools
 
 such as SQL, Power BI, and Tableau.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 <li>
 Strong stakeholder management and collaboration abilities.
 </li>
 <li>
 Bachelor&rsquo;s degree in
 
 Business, Finance, Economics, or a related field
 
 .
 </li>
 <li>
 Experience in
 
 fintech, banking, or NBFC
 
 environments preferred.
 </li>
 <li>
 Familiarity with
 
 credit bureau data
 
 and regulatory frameworks is an advantage
 </li>
 </ul>
 
 
</div>

Business Analyst – Collections

Explore 1415+ Business data analyst in Abu Dhabi this December. Find roles across top companies and apply now to boost your career.

1415 business data analyst jobs IN Abu Dhabi

Business Data Analyst (Microsoft BI) — F&B

Senior Data Analyst

Business Intelligence Analyst

Senior Data Analyst

Data Analyst Expert

Technical Business Analyst

Business Analyst – Collections