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business data analyst

Merit for Economic and Management Consultancy

Role Summary:Support Consultant team in collect, manage and analyzes organizational data to generate actionable insights supporting strategic planning, performance management, and operational decision making. The role ensures data quality, develops dashboards and reports, identifies trends, and collaborates on AI driven analytics initiatives to enhance efficiency, automation, and data driven decisions aligned with client priorities.Key Responsibilities:<ul><li>Collect, validate, and manage actual result data to ensure accuracy and reliability.</li><li>Develop and maintain dashboards, reports, and visualizations to monitor KPIs and operational metrics.</li><li>Support consultant in analyzing data trends, identify gaps, and provide actionable insights to guide decision making.</li><li>Support AI and analytics initiatives to improve processes, performance, and automation.</li></ul>Qualifications &amp; Experience:<ul><li>Bachelor&rsquo;s degree in Data Analytics, Business Intelligence, Computer Science, Statistics, or a related field.</li><li>Minimum of 3+ years of experience in Business Intelligence, Data Analysis, or a similar role.</li><li>Strong experience in data visualization tools (e.g., Power BI, Tableau, or similar).</li><li>Proficiency in data analysis tools and languages such as SQL, Excel, Python, or R.</li><li>Exposure to AI, machine learning, or advanced analytics initiatives is an advantage.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Business Intelligence, Data Analysis, or a similar role: 3 years (Required)</li></ul>

Business Intelligent & Data Analyst

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

Sobha Realty

Job description:Department: Sales / Strategy Job Type: Full-time Employment Type: Full-timeJob Summary:We are seeking a skilled and detail-oriented Data Analyst to support the Vice President of Sales by collating, analyzing, and presenting sales data across various real estate projects. The ideal candidate will have a strong command of Excel and Advanced Excel, and will play a key role in enabling data-driven decision-making and strategic planning.Key Responsibilities:<ul><li>Collect, clean, and consolidate sales data from multiple sources including CRM systems, Excel files, and internal databases.</li><li>Prepare regular and ad-hoc reports with actionable insights for the Vice President.</li><li>Design and maintain dashboards to visualize sales performance, trends, and forecasts.</li><li>Conduct market and competitor analysis to support strategic initiatives.</li><li>Collaborate with sales, marketing, and finance teams to ensure data accuracy and consistency.</li><li>Identify data gaps and recommend improvements in data collection and reporting processes.</li><li>Support quarterly and annual sales reviews with comprehensive data analysis.</li></ul>Qualifications &amp; Skills:<ul><li>Bachelor&rsquo;s degree in Data Analytics, Statistics, Business, or a related field.</li><li>2&ndash;4 years of experience in data analysis, preferably in real estate or sales.</li><li>Proficiency in Microsoft Excel and Advanced Excel functions (e.g., pivot tables, VLOOKUP, INDEX-MATCH, macros, data validation).</li><li>Experience with data visualization tools such as Power BI or Tableau.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills to present findings to senior leadership.</li><li>Ability to work independently and manage multiple priorities.</li></ul>Job Type: Full-time

Data Analyst- Sales Insight -Real Estate

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

Forsyth Barnes

<div>
 
 Job Title: Senior Data Analyst
 
 
 Experience Level
 
 
 Senior (3+ years of relevant experience)
 
 
 Job Summary
 
 
 We are seeking a Senior Data Analyst to turn complex data into actionable insights that drive business decisions. The ideal candidate has strong analytical skills, experience working with large datasets, and the ability to collaborate with cross-functional teams to deliver data-driven solutions. This role requires both technical expertise and the ability to clearly communicate findings to stakeholders.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Analyze large, complex datasets to identify trends, patterns, and insights
 </li>
 <li>
 Design, build, and maintain dashboards, reports, and data models
 </li>
 <li>
 Partner with product, engineering, and business teams to define data requirements
 </li>
 <li>
 Develop and optimize queries and data pipelines for performance and reliability
 </li>
 <li>
 Validate data accuracy and ensure data quality across systems
 </li>
 <li>
 Translate business questions into analytical problems and present results in a clear, actionable manner
 </li>
 <li>
 Support data-driven decision making through ad hoc analysis and ongoing reporting
 </li>
 <li>
 Contribute to best practices for data governance, documentation, and analytics workflows
 </li>
 </ul>
 
 Required Qualifications
 
 <ul>
 <li>
 3+ years of experience in a data analyst or similar analytics role
 </li>
 <li>
 Strong experience with data analysis, reporting, and visualization
 </li>
 <li>
 Proficiency in
 
 Python
 
 for data analysis and automation
 </li>
 <li>
 Experience working with SQL-based data warehouses (including
 
 Hive
 
 )
 </li>
 <li>
 Solid understanding of statistics and analytical methodologies
 </li>
 <li>
 Ability to communicate technical findings to non-technical stakeholders
 </li>
 </ul>
 
 Preferred / Nice-to-Have Qualifications
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
 </li>
 <li>
 Experience with
 
 JavaScript
 
 (e.g., for dashboards or data visualization)
 </li>
 <li>
 Familiarity with
 
 Kubernetes
 
 and containerized data workloads
 </li>
 <li>
 Experience working with
 
 cloud platforms
 
 (AWS, GCP, or Azure)
 </li>
 <li>
 Knowledge of big data tools and distributed systems
 </li>
 <li>
 Experience in building or supporting production analytics pipelines
 </li>
 </ul>
 
 
</div>

Explore 977+ Business data analyst in Abu Dhabi United Arab Emirates this January. Find roles across top companies and apply now to boost your career.

977 business data analyst jobs IN Abu Dhabi United Arab Emirates

Business Intelligent & Data Analyst

Senior Data Analyst

Data Analyst- Sales Insight -Real Estate

Business Intelligence Analyst

Senior Data Analyst

Data Analyst Expert

Senior Data Analyst