business analyst

data analyst

data scientist

data engineer

senior data analyst

data analysis manager

Azizi Developments

<div>
 
 Responsibilities:
 
 
 &bull; Collects and analyses data to identify trends.
 
 
 &bull; Provides valuable information to improve marketing, operational, and business practices.
 
 
 &bull; Extracts insights from collected data using statistical and analytical techniques.
 
 
 &bull; Presents data in an easy-to-understand manner.
 
 
 &bull; Helps organizations make informed decisions.
 
 
 &bull; Collaborating with team members to collect and analyse data.
 
 
 &bull; Creating dashboards for easy access.
 
 
 &bull; Allocate document reference numbers according to the coding structures.
 
 
 &bull; Ensure regular interaction and always maintain clear verbal and/ written with all departments that are related to the company's projects.
 
 
 &bull; Manage, maintain, coordinate and update reports according to the reporting matrix and distribution list assigned to each employee's designation, ensuring report accuracy and on time submission.
 
 
 &bull; Manage, monitor, track, coordinate and report all driver/ operator behaviour-based activities of the PMV Fleet.
 
 
 &bull; Update and maintain the Transport Status Report.
 
 
 &bull; Maintain and record all Candidate Approval Form (CAF) to ensure accurate recruitment database and prevent repeated applications.
 
 
 &bull; Prepare Transport Invoices.
 
 
 &bull; Measure and manage the efficiency of the operations (Key Performance Indicators)
 
 
 &bull; Manage the integration of data between the GPS, FMS and other platforms.
 
 
 &bull; Reporting of Year-to-Date Statistics.
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor's Degree in IT, MBA or Master's degree in Statistics or Applied Mathematics or equivalent experience
 </li>
 <li>
 3+ years' Data Analysis experience
 </li>
 <li>
 Proficient in SQL
 </li>
 </ul>
 
 
</div>

Data Analyst - PMV

Whiteshield

<div>Whiteshield combines artificial intelligence with economic expertise to solve real policy challenges. Our AI Economics unit transforms complex data into actionable insights that shape how governments and businesses design policies, manage resources, and plan for growth.
Role Overview
As a Data Science Manager, you will lead analytical projects that integrate AI, machine learning, geospatial analysis, and economic modelling to drive evidence-based decision-making. You&rsquo;ll manage end-to-end data workflows &mdash; from ideation to delivery &mdash; and work with a multidisciplinary team of data scientists, economists, and policy experts to build tools that have real impact.
Key Responsibilities<ul>
<li>
Lead data-driven projects across public policy and economic domains.</li>
<li>Design, automate, and optimize data pipelines and analytical workflows.</li>
<li>Apply AI, ML, and geospatial techniques to extract insights from satellite imagery, trade, and macroeconomic data.</li>
<li>Develop and maintain interactive dashboards, ranking systems, and predictive models.</li>
<li>Translate technical results into clear, actionable policy recommendations.</li>
<li>Mentor junior data scientists and oversee code quality, documentation, and best practices.</li>
</ul>
Requirements
Masters degree in Computer Science or Data Science
Proven experience leading data projects or small teams
5+ years experience with Python
5+ years experience with SQL
5+ years experience with APIs
Experience with machine learning or predictive modelling
Experience building data pipelines or ETL processes
Experience with data visualization (Power BI, Tableau, or similar)
Excellent English communication skills
Nice-to-haves:
Experience with geospatial data (e.g., GIS, satellite imagery, GeoPandas, QGIS)
Experience with economic or policy-related datasets
Experience working in consulting or public sector projects
Knowledge of cloud platforms (AWS, GCP, or Azure)
Familiarity with TensorFlow or PyTorch
Master&rsquo;s degree in Data Science, Economics, or related field
Benefits<ul><li>
Real influence and access &ndash; Shape national policy, competitiveness strategies, and sustainable growth plans while working directly with senior government officials, global institutions, and major corporations.</li><li>
Room to innovate &ndash; If you see a better way, try it. We encourage new methods and actively pilot new technologies.</li><li>
Cutting-edge tools &ndash; Work with AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms.</li><li>
Structured growth &ndash; Learn from senior experts through hands-on mentoring and project-based skill transfer.</li></ul></div>

Data Science Manager - AI Economics Unit (UAE-based)

GluCare

<div>Location: Grove Mall, Al Barsha, Dubai
Job Summary:
We are seeking a Junior Data Analyst - UAE National - to support our clinical and operational teams by analyzing healthcare-related datasets, creating dashboards, and generating actionable insights. This role is ideal for someone early in their data career with strong technical skills, attention to detail, and a passion for healthcare innovation. Prior marketing experience is not required.
Key Responsibilities:<ul>
<li>
Work with healthcare, operational, and research teams to collect, clean, and analyze datasets from EMR systems, wearable devices, CRM platforms, and internal databases.</li>
<li>Build and maintain interactive dashboards and reports using tools such as Power BI, Tableau, or Looker Studio to support clinical decision-making and operational planning.</li>
<li>Assist in defining and tracking key performance indicators (KPIs) for departments including Clinical Operations, Patient Affairs, and Research.</li>
<li>Perform exploratory data analysis (EDA) to identify trends, anomalies, and opportunities for process improvement.</li>
<li>Support senior analysts and data scientists in preparing datasets for research publications and strategic projects.</li>
<li>Document data processes and ensure data accuracy, privacy, and integrity across systems.</li>
<li>Collaborate cross-functionally to understand data needs and translate them into technical deliverables.</li>
<li>Generate routine and ad hoc reports for stakeholders as needed.</li>
</ul>
Requirements
equirements:<ul>
<li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Health Informatics, or a related field.</li>
<li>0&ndash;2 years of relevant experience in data analytics, preferably in healthcare, tech, or operations.</li>
<li>Proficiency in Excel and one or more data analysis tools such as SQL, Python, or R.</li>
<li>Experience with data visualization platforms such as Power BI, Tableau, or Looker Studio.</li>
<li>Understanding of database management, data cleaning, and wrangling techniques.</li>
<li>Strong analytical mindset with attention to detail and problem-solving abilities.</li>
<li>Excellent communication skills and the ability to explain technical findings to non-technical stakeholders.</li>
<li>Team player who thrives in a dynamic, fast-paced environment.</li>
</ul>
Preferred Qualifications:<ul>
<li>
Experience working with healthcare datasets (e.g., EMR, clinical KPIs, patient engagement data) is a plus.</li>
<li>Familiarity with data protection standards such as HIPAA or GDPR is an advantage.</li>
</ul>
Why Join GluCare:<ul>
<li>
Be part of a cutting-edge digital health organization focused on real impact.</li>
<li>Collaborate with a multidisciplinary team of clinicians, technologists, and researchers.</li>
<li>Gain hands-on experience with real-world healthcare data in a fast-growing clinical innovation environment.</li>
<li>Opportunities for learning, mentorship, and career progression.</li></ul></div>

Data Analyst - Grove Mall, Al Barsha, Dubai - UAE National only

Binance

<div><div>Binance is a leading global blockchain ecosystem behind the world&rsquo;s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.</div>
<h3 class="jobSectionHeader">Responsibilities&#65306;</h3><ul><li>
Research and analyze risk patterns occurred on Binance platforms, using data driven thinking and quantitative analysis methodologies to identify, measure, contain and mitigate risks (e.g. fraud trading, spam registration, account takeover, card acquiring risk and payment fraud).</li><li>
Deploy, monitor and assess the effectiveness and stability of variables, rules and models, maintain and iterate the rules/strategies regularly to improve key risk matrix.</li><li>
Liaising with various stakeholders to develop new rules and strategy with optimized balance between user experience and risk mitigation solutions</li></ul><h3 class="jobSectionHeader">
Requirements&#65306;</h3><ul><li>
Bachelor degree or above, major in mathematics, statistics, computer science, etc.;</li><li>
At least five years of data analysis or data mining related work experience, risk analysis background of financial derivatives (futures contracts, leverage trading, etc.) or eComm platforms is preferred. Knowledge of blockchain, payment, risk domain is plus credit;</li><li>
Proficient in SQL language and at least one professional analysis tool, such as Python and R;</li><li>
Good willingness and ability to learn, outstanding ability to analyze and solve problems, and good coordination and communication;</li></ul><div>
Why Binance</div><ul><li>Shape the future with the world&rsquo;s leading blockchain ecosystem</li><li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li><li>Tackle unique, fast-paced projects with autonomy in an innovative environment</li><li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li><li>Competitive salary and company benefits</li><li>Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)</li></ul><div></div><div> 
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.</div><div>
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.</div>

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Data Analytics Manager (Risk)

Glow Beauty On Demand

Employment Overview Job Location: Dubai, UAE Industry: Information Technology and Services Function: Program / Project Management Gender: Any Candidate Nationality: Any Job Type: Full-time What You ll Do * Oversee end-to-end delivery of data analytics projects, ensuring timely and high-quality implementation * Define project plans, milestones, and deliverables aligned with business objectives * Work closely with engineers, analysts, and business teams to develop data-driven solutions * Manage integration of data sources and ETL processes using tools such as Informatica or Talend * Ensure robust database management across SQL and NoSQL environments * Implement advanced analytics techniques, including predictive modeling and machine learning * Drive visualization initiatives using platforms like Tableau, Power BI, or Looker * Ensure adherence to data security and compliance regulations, including GDPR and CCPA * Prepare status reports and communicate progress to senior stakeholders Ideal Profile * Proven experience in technical project delivery within data analytics or big data environments * Familiarity with big data tools (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud) * Knowledge of data lifecycle management, analytics techniques, and visualization tools * Strong leadership and communication skills for managing cross-functional teams * Understanding of ETL processes and integration frameworks * Awareness of data governance and cybersecurity best practices Preferred Certifications * PMP, PRINCE2, or Certified Scrum Master * AWS Certified Data Analytics - Specialty or Microsoft Azure Data Engineer Associate * Google Data Analytics Certification or equivalent * CBAP or PMI-PBA for business analysis expertise

Data Analytics Project Manager

T.Choithram & Sons LLC

We are looking for a detail-oriented Reporting Analyst – Finance to assist the Sr. Finance Manager in delivering key financial reporting and planning activities. The ideal candidate will support month-end closing, financial planning and analysis, and help drive accurate and timely reporting in collaboration with cross-functional teams.<ul><li>Assist the Sr. Finance Manager with financial reporting and month-end closing in compliance with accounting standards.</li><li>Support financial planning and analysis, including monthly MIS preparation, annual budgeting, and forecasting cycles.</li><li>Collaborate with stakeholders across Finance, Sales, Marketing, and Supply Chain to ensure data accuracy and integrity.</li><li>Perform ad-hoc financial analysis and support other finance-related tasks as needed.</li><li>Demonstrate strong knowledge of General Ledger (GL), cash flow management, Profit & Loss (P&L) statements, and accounting principles.</li></ul>

Financial Analyst

ThinkMarkets

<div>ThinkMarkets is a global financial technology company, specializing in providing multi-asset trading solutions to thousands of clients around the world. With our flagship ThinkTrader platform, we make it available for our clients to trade the world 24-hours a day. Our mission is to bridge the gap between traders, investors, and platforms by allowing access to global markets and thousands of products thus providing our clients the ability to trade the world in the palm of their hand. We use the latest technologies to give traders seamless access to our proprietary trading platforms.

We are seeking a Marketing Analytics and Technology Manager to oversee the implementation and optimization of marketing technology solutions, data analysis, and revenue attribution. The role focuses on accurately measuring revenue generated from various marketing efforts and optimizing these channels for enhanced performance. The successful candidate will collaborate with marketing, finance, and product teams to gather actionable insights and develop strategies that enhance overall business outcomes.

Key Responsibilities:

Data Analysis and Insights:
<ul>
<li>Collect and analyze marketing data from various channels (paid media, social media, email, etc.) to evaluate campaign performance and customer behavior.</li>
<li>Provide insights on key metrics such as return on investment (ROI), customer acquisition costs, and lifetime value.</li>
</ul>
Revenue Tracking and Attribution:
<ul>
<li>Develop and maintain models for accurate revenue attribution across marketing touchpoints.</li>
<li>Ensure proper tracking of user journeys, conversions, and revenue through analytics platforms (e.g., Google Analytics, Mixpanel).</li>
</ul>
Analytics and Reporting:
<ul>
<li>Build and maintain dashboards to report on key performance indicators (KPIs), conversion rates, and ROI.</li>
<li>Prepare regular reports on marketing performance, revenue contributions, and actionable insights, and present them to senior management.</li>
</ul>
Data Layers and Technology Integration:
<ul>
<li>Develop and manage data layers for analytics tools like Google Tag Manager, ensuring data accuracy and consistency across platforms.</li>
<li>Configure and integrate marketing technology tools (e.g., CRM, email platforms, analytics systems) to ensure seamless data flow and accurate reporting.</li>
</ul>
Cross-functional Collaboration:
<ul>
<li>Collaborate with marketing, sales, IT, and finance teams to optimize marketing technology systems, improve tracking accuracy, and drive overall business performance.</li>
<li>Partner with finance teams to reconcile marketing expenses and revenue contributions.</li>
</ul>
Requirements:
<ul>
<li>Bachelor's degree in marketing, Data Science, Computer Science, or a related field is required.</li>
<li>3 years of experience in data analysis, marketing technology, or revenue attribution would be ideal.</li>
<li>Expertise in marketing attribution models and analytics tools such as Google Analytics, Mixpanel, and Google Tag Manager.</li>
<li>Experience with marketing technology integrations (e.g., CRM, email, and analytics platforms) and data management.</li>
<li>Strong analytical and problem-solving skills, with the ability to deliver actionable insights and optimize marketing efforts.</li>
<li>Excellent communication skills, with the ability to present findings to senior management and work collaboratively with cross-functional teams.</li></ul></div>

Marketing Analytics & Attribution Manager – FinTech | Trading | Forex

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