senior accountant

senior data engineer

data analyst

senior data analyst

senior data scientist

senior research analyst

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5><div>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
</div>As a Senior Data Analyst , you will be fully-participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data &amp; Analytics space. The role involves the analysis aspects of sourcing and transforming data to ensure it delivers on the insights required by Emirates Airlines and Emirates Group business stakeholders. 
 
In this role you will:
<ul><li>Understands business domains well (e.g. airline, passenger, pilot &amp; crew, aircrafts, HR, Finance). Work with product owners and business users to understand operational source system data and business transformation / data cleansing rules required to ensure that analytical solutions generate the insights required by the business. Operate with a data-driven mindset, helping the business generate those insights based on data.
</li><li>Assist in the collection of data dictionaries and creation of business glossaries. Maintain core data repositories as data sources and interfaces change over time.
</li><li>Understand and maintain data models and data interfaces for the analytical environment to understand availability of data for the required business reports.
</li><li>Conduct simple data gap analysis and data profiling to analyse availability and quality of incoming data and advise on any data cleansing rules, or issue resolution options in case of incidents (including analysis of potential data quality issues). Incorporate business transformation rules into solution designs or mapping documents to ensure solutions provide timely business value.
</li><li>Document proposed or modified data interfaces, including fit for data models, data flow timing, source-to-target mapping, uniqueness criteria and data transformation rules including data validations and controls.
</li><li>Provide feedback on logical and physical data models to ensure they effectively meet the analytical requirements and expectations.
</li><li>Collaborate with the quality engineers to identify areas which need to be validated and ensure data exposed to business stakeholders satisfies their analytical needs.
</li>Keep current on evolving Emirates Airlines and Emirates Group data and analytics business knowledge domains to accurately assess the quality of the data and ensure business glossaries remain up-to-date. 
<li>
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the below requirements:
<div><ul><li>Degree or Honours (12+3 or equivalent)
</li><li>Experience in Information Technology
</li><li>Degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering. Specialization or electives in a Data &amp; Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have
</li><li>3+ yrs in Data Analysis experience (Fewer years&rsquo; experience will be considered for Masters degree holders)
</li><li>Minimum 3+ years conducting data analysis tasks (e.g. source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping)
</li><li>Proven track record developing and maintaining data documentation artefacts in organizations of similar size and complexity within project deadlines
</li><li>Deep expertise on business transformation rules and understanding of data solution designs
</li><li>Experience writing SQL queries to analyse data and provide results to business users or project team members
</li><li>Experience with building information designs for data-centric projects on one or more of the following (preferably within a airlines industry): Data Warehouses, Big Data Environment for Analytics, Data API, Business Intelligence Solutions
</li>Airline industry experience preferred (or expertise in a supporting function such as HR or Finance); needs to understand the business domains well to conduct data modelling and analysis activities 
<li>
</li></ul></div>Knowledge/Skills:
<div><ul><li>Good communication skills; able to clearly communicate rationale and approaches to peers and some business stakeholders
</li><li>Operates with a &ldquo;You Code It, You Own It&rdquo; mindset (i.e. supports the products they build)
</li><li>Demonstrated problem-solver; able to design and document solutions independently
</li><li>Strong work ethic, being results-oriented, and accuracy / attention to detail are critical
</li><li>Demonstrated initiative, able to work both independently and as a team member
</li><li>Team player; able to collaborate with others to remove blockers, solve complex data problems and debug/resolve issues
</li><li>Able to deliver solutions (and associated value) iteratively
</li>Is accountable and displays positive attitude 
<li>
</li></ul></div>Technology Domain Key Technologies/Tools:
Big Data &amp; Distributed Processing :Querying HDFS or ADLS file storage systems, with tools such as Hive or H-Base, ElasticSearch, Experience with AVRO / PARQUET file formats nice-to-have
Data Analysis, Modelling and Reporting :SQL, Snowflake, Data Vault 2.0, MicroStrategy, Power BI 
 
Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world.</div>

Senior Data Analyst

Yatsudoki Chateraise

JOB PURPOSE This role is responsible for overseeing and managing the financial reporting and accounting functions of an organization. This role ensures the accuracy and integrity of financial data, compliance with accounting standards, and efficient financial operations.JOB RESPONSIBILITIES <ul><li>Financial Planning and Analysis:</li><li>Develop financial forecasts and budgets based on strategic goals and historical data.</li><li>Analyze financial performance, trends, and variances to provide insights and recommendations to senior management.</li><li>Perform feasibility studies from scratch without end-user input</li><li>Financial Reporting:</li><li>Prepare timely and accurate financial statements, including balance sheets, income statements, and cash flow statements.</li><li>Ensure compliance with accounting standards and regulatory requirements.</li><li>Oversee and manage all tax activities, including compliance with UAE tax regulations.</li><li>Risk Management:</li><li>Identify financial risks and develop strategies to mitigate them.</li><li>Implement internal controls and procedures to safeguard assets and ensure the accuracy of financial data.</li><li>Strategic Planning and Decision Support:</li><li>Provide strategic financial advice and support to senior management in decision-making processes.</li><li>Evaluate investment opportunities and capital allocation strategies.</li><li>Relationship Management:</li><li>Build and maintain relationships with external stakeholders, including banks, auditors, and regulatory authorities.</li><li>Collaborate with other departments (such as operations, sales, and marketing) to align financial strategies with overall business objectives.</li><li>Team Leadership and Development:</li><li>Lead and mentor a team of finance professionals, providing guidance and fostering a culture of continuous improvement.</li><li>Ensure staff training and development to enhance capabilities and performance.</li></ul>JOB SPECIFICATIONS Qualifications&middot; Bachelor&rsquo;s degree in Finance, Accounting, Economics, or related field. A Master&rsquo;s degree (MBA, MSc) may be preferred or required for senior positions&middot; Professional certifications such as CPA (Certified Public Accountant), CFA (Chartered Financial Analyst), or CMA (Certified Management Accountant) may be advantageousExperience<ul><li>Requires several years of progressive experience in financial management or accounting roles within the |UAE, with a proven track record of leadership and strategic decision-making.</li></ul>Knowledge &amp; Skills<ul><li>Strong analytical skills, proficiency in financial software and ERP systems, excellent communication and interpersonal skills, and a solid understanding of financial regulations and compliance.</li></ul>Job Types: Full-time, PermanentApplication Question(s):<ul><li>Do you hold any certification ie ACCA/ CA?</li><li>What is your salary expectation?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Finance Manager: 5 years (Preferred)</li></ul>Work Location: In person

Finance Manager

Kpler

<div>
 At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.
 
 
 Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.
 
 
 
 Your future position
 
 
 
 Kpler&rsquo;s Oil &amp; Chemicals business unit is rapidly advancing its real-time analytics and is looking for a technically sharp, data-literate Refineries Analyst to join its growing global team.
 
 
 In this role, you will take absolute ownership of the data integrity, maintenance, and quality control of our bottom-up refinery models. You will synthesize Kpler&rsquo;s industry-leading proprietary data-including live crude flows, production, pipeline volumes, and inventory levels-into a cohesive modeling framework, utilizing our internal Linear Programming (LP) model as a core tool for tuning and optimization. By connecting upstream inputs and offline events with real-world refinery capacities and yields, you will ensure our models seamlessly integrate into Kpler&rsquo;s broader Supply &amp; Demand balances.
 
 
 Because you are joining us during an ambitious product expansion, you will play a foundational role in the evolution of our platform. This is a truly hybrid-minded position where you will serve as the subject matter expert bridging the gap between physical market reality and technical architecture-partnering closely with our Product Engineering team to build, refine, and validate our most sophisticated fundamental datasets.
 
 
 
 Your Mission Is To
 
 
 
 <ul>
 <li>
 Maintain data integrity, capacity, and offline event records for individual refinery models and regional balances, utilizing the internal Linear Programming model for tuning.
 </li>
 <li>
 Prioritize the validation and improvement of existing models; data quality and domain expertise are the critical drivers for this role.
 </li>
 <li>
 Lead the effort to backtest and guide models using external data sources (EIA, JODI, IRR, ANP) to ensure outputs align with physical market realities.
 </li>
 <li>
 Apply a deep understanding of distillation, reforming, FCC, and blending to optimize refinery circuit views and regional supply/demand dynamics.
 </li>
 <li>
 Source and leverage large datasets using Python, PostgreSQL and to automate data flows and improve model accuracy.
 </li>
 <li>
 Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refineries product development.
 </li>
 <li>
 Respond to internal and external data requests and client queries in a timely manner.
 
 
 </li>
 </ul>
 
 Essential
 
 
 
 
 Experience &amp; Background
 
 
 
 <ul>
 <li>
 At least 3&ndash;5 years of experience as a Refinery Economist, Refining Analyst, LP Modeler or related roles.
 </li>
 <li>
 A deep understanding of physical refinery unit operations (Distillation, Reforming, FCC, Blending, etc.) and refinery economics (flows, pricing, regulations, and arbitrage dynamics).
 </li>
 <li>
 Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS) is essential to be functional in this role.
 </li>
 <li>
 Comfortable with Python and PostgreSQL
 </li>
 <li>
 Proven experience sourcing and leveraging external data (EIA/JODI/IRR) to model refineries.
 </li>
 <li>
 Strong background in data-driven modeling, validation, and managing input data integrity (e.g., capacity and offline events).
 
 
 </li>
 </ul>
 
 Desirable
 
 
 
 <ul>
 <li>
 Experience with refinery optimization, especially with a focus on circuit-wide views.
 </li>
 <li>
 Experience with data visualization.
 </li>
 <li>
 Past experience contributing to SaaS product or data improvement initiatives.
 </li>
 <li>
 Experience in leveraging AI tools (Claude, Cursor, etc) for data analysis &amp; management, and general workflow optimization
 
 
 </li>
 </ul>
 
 Behavioural Competencies
 
 
 
 <ul>
 <li>
 Ownership of day-to-day work and strong attention to detail.
 </li>
 <li>
 Self-starter, thrives in an ambitious, early-stage product environment without requiring direct supervision.
 </li>
 <li>
 Eagerness to invest significant time in individual refinery tuning and bottom-up modeling.
 </li>
 <li>
 Driven to find data to backtest and guide models.
 </li>
 <li>
 Client-facing confidence.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a technical or quantitative field, with proven experience applying modeling techniques in commercial or research environments
 
 
 </li>
 </ul>
 We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you&rsquo;ve found your ideal destination. Are you ready to embark on this exciting journey with us?
 
 
 
 We make things happen
 
 
 
 We act decisively and with purpose, going the extra mile.
 
 
 
 We build together
 
 
 
 We foster relationships and develop creative solutions to address market challenges.
 
 
 
 We are here to help
 
 
 
 We are accessible and supportive to colleagues and clients with a friendly approach.
 
 
 
 Our People Pledge
 
 
 
 Don&rsquo;t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don&rsquo;t match 100% of the job requirements. Don&rsquo;t let the confidence gap stand in your way, we&rsquo;d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
 
 
 Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
</div>

Refineries Analyst

Jorofy Private Limited

We are seeking a highly skilled Senior AI Engineer (PhD) to lead the design, development, and deployment of advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess a PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field, along with extensive industry experience in developing AI-driven products, conducting research, and translating innovative concepts into scalable enterprise solutions.The role requires expertise in Generative AI, Large Language Models (LLMs), Deep Learning, Natural Language Processing (NLP), Computer Vision, and MLOps practices.Key ResponsibilitiesAI Research &amp; Innovation<ul><li>Conduct advanced research in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.</li><li>Evaluate emerging AI technologies, frameworks, and methodologies to enhance organizational capabilities.</li><li>Publish research findings, technical papers, patents, or contribute to industry thought leadership initiatives.</li><li>Lead proof-of-concept (PoC) development for innovative AI solutions.</li></ul>Solution Design &amp; Development<ul><li>Architect and develop scalable AI/ML models and intelligent systems.</li><li>Design and optimize Large Language Model (LLM)-based applications and AI agents.</li><li>Build and fine-tune machine learning and deep learning models for production environments.</li><li>Develop AI-powered applications involving NLP, Computer Vision, Predictive Analytics, and Recommendation Systems.</li><li>Integrate AI solutions with enterprise platforms, APIs, and cloud environments.</li></ul>Generative AI &amp; LLM Engineering<ul><li>Develop and optimize Retrieval-Augmented Generation (RAG) architectures.</li><li>Fine-tune foundation models and implement prompt engineering strategies.</li><li>Design AI agents, autonomous workflows, and conversational AI solutions.</li><li>Implement vector databases and semantic search frameworks.</li><li>Evaluate model performance, accuracy, safety, and responsible AI practices.</li></ul>MLOps &amp; Deployment<ul><li>Build end-to-end ML pipelines for model training, deployment, monitoring, and maintenance.</li><li>Implement CI/CD processes for AI applications.</li><li>Optimize model performance, scalability, and infrastructure costs.</li><li>Monitor model drift and ensure continuous improvement.</li></ul>Leadership &amp; Collaboration<ul><li>Provide technical leadership and mentorship to AI Engineers, Data Scientists, and ML Engineers.</li><li>Collaborate with business stakeholders to identify AI opportunities and define solution roadmaps.</li><li>Participate in strategic technology planning and AI transformation initiatives.</li><li>Review code, architecture, and technical deliverables to ensure quality standards.</li></ul>Required QualificationsEducation<ul><li>PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Statistics, or a related discipline.</li></ul>Experience<ul><li>8+ years of experience in AI/ML development, including research and production deployment.</li><li>Proven experience leading AI projects in enterprise environments.</li><li>Experience working with Generative AI, LLMs, and advanced deep learning architectures.</li></ul>Technical SkillsProgramming<ul><li>Python (Advanced)</li><li>SQL</li><li>Java, C++, or Scala (Preferred)</li></ul>AI/ML Frameworks<ul><li>PyTorch</li><li>TensorFlow</li><li>Keras</li><li>Scikit-learn</li><li>Hugging Face Transformers</li></ul>Generative AI &amp; LLM Technologies<ul><li>OpenAI APIs</li><li>LangChain</li><li>LangGraph</li><li>LlamaIndex</li><li>RAG Architectures</li><li>Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li></ul>Cloud Platforms<ul><li>AWS</li><li>Microsoft Azure</li><li>Google Cloud Platform (GCP)</li></ul>MLOps &amp; DevOps<ul><li>Docker</li><li>Kubernetes</li><li>MLflow</li><li>Kubeflow</li><li>Jenkins</li><li>GitHub Actions</li></ul>Databases<ul><li>PostgreSQL</li><li>MongoDB</li><li>Vector Databases</li></ul>Preferred Qualifications<ul><li>Publications in reputed journals or AI conferences (NeurIPS, ICML, ICLR, ACL, CVPR, etc.).</li><li>Experience in Agentic AI, Autonomous Systems, and Multi-Agent Frameworks.</li><li>Knowledge of AI Governance, Responsible AI, Explainable AI (XAI), and AI Security.</li><li>Industry certifications in Cloud, AI, or Machine Learning technologies.</li></ul>Core Competencies<ul><li>Strategic Thinking</li><li>Research &amp; Innovation</li><li>Problem Solving</li><li>Leadership &amp; Team Mentoring</li><li>Stakeholder Management</li><li>Communication &amp; Presentation Skills</li><li>Analytical Thinking</li><li>Project Management</li></ul>Key Deliverables<ul><li>Production-ready AI and Generative AI solutions.</li><li>Scalable machine learning pipelines and architectures.</li><li>AI research initiatives and innovation roadmaps.</li><li>Performance optimization and continuous model improvement.</li><li>Technical mentorship and knowledge-sharing across teams.</li></ul>Experience Required: 8&ndash;15+ Years Education: PhD (Mandatory) Level: Senior / Lead Individual Contributor or Technical Lead Role.Education:<ul><li>Master's (Preferred)</li></ul>Experience:<ul><li>Senior Engineer: 10 years (Required)</li></ul>Work Location: In person

Senior AI Engineer (PhD)

Mizuho Bank

<div><div>Profile Summary</div>
<ul>
<li>Assist with credit application preparation</li>
<li>Support execution and booking processes</li>
<li>Support Team Head and other members of the team with other assigned tasks</li> 
</ul>
<div></div><div>Duties and Responsibilities</div>
<ul>
<li>Contribute to department as Junior Credit Analyst by assisting with credit analysis, research and loan execution functions</li>
<li>Primary purpose/responsibility are including, but not limited to:
<ul><li><div><ul><li>Being a part of credit analysis and execution team, support to Relationship Manager, Head of Team other team members and Managing Director with loan execution.</li>
<li>Assist with credit application preparation, internal credit systems input and attachment collation</li>
<li>Support execution and booking processes, including preparing monitoring systems and coordinating booking requests with Booking Office</li>
<li>Communicate well with relevant credit department in London.</li>
<li>Conduct strong / timely monitoring of credit worthiness in accordance with internal credit rating procedure
</li><li>Comply with various regulations related to banking business
</li><li>Comply with internal rules.</li>
<li>Take responsibility for any other ad-hoc job tasks to be requested by Head of Team, Managing Director or other team members.</li></ul></div></li> 
</ul>
</li></ul><div></div><div>Qualifications, Skills and Experience</div>
<ul>
<li>Bachelors Degree or equivalent
</li><li>Great organisational and time management skills</li>
<li>Excellent communication skills</li>
<li>Strong numerical and analytical skills</li>
<li>Demonstrable ability to learn, innovate, support change and problem solve</li>
<li>Collaborative nature to contribute to a successful team performance
</li><li>Knowledge of the Banking Industry</li>
<li>High level of computer literacy and skills in data manipulation / presentation</li>
<li>Customer-centric career experience an asset but not essential</li>
<li>Language skills are an asset, but not essential</li></ul> 
<div></div>

At Mizuho, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs. 


At Mizuho we are committed to supporting equality, diversity and equality, and seek to create a workplace that is fully inclusive. We welcome applications from all sections of the community that we operate in and from all ethnic backgrounds, sexual orientation, beliefs, gender identities and disabilities. 


If you require more information about our equal opportunities policy or wish to discuss any accessibility requirements or reasonable adjustments please contact the recruitment team &ndash; recruitment@mizuhoemea.com and we will be happy to help.</div>

Credit Execution - Analyst

AIQU

<div>
 
 We are hiring
 
 Data Analyst
 
 to join one of our major clients based in
 
 Dubai, UAE.
 
 
 
 
 
 
 Job Location - Dubai, UAE
 
 
 Job Type - 12 months Contract (Extendable)
 
 
 
 
 
 
 About Role
 
 
 
 We are seeking a detail-oriented and analytical Data Analyst with experience in Anti-Money Laundering (AML) to support our AML team.
 
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 3&ndash;8 years of experience as a Data Analyst with AML domains.
 </li>
 <li>
 Strong proficiency in Azure Data Lake- SQL for data extraction, transformation, and analysis.
 </li>
 <li>
 Experience with data visualization and reporting tools such as Power BI.
 </li>
 <li>
 Knowledge of AML, KYC related domains.
 </li>
 <li>
 Bachelor's degree in Data Analytics, Computer Science, Statistics or a related field.
 </li>
 </ul>
 
 
 
 
 
 
</div>

Data Analyst

Keeta

<div>
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Conduct in-depth research on the political, economic, and regulatory landscape of the Middle East, with a primary focus on GCC countries (UAE, Saudi Arabia, Qatar, etc.), tracking policy shifts and their implications for business operations.
 </li>
 <li>
 Analyze market opportunities, competitive dynamics, and industry trends in the UAV, low-altitude economy, and smart logistics sectors across the Middle East region.
 </li>
 <li>
 Develop market entry strategies, including partner/stakeholder evaluation, go-to-market models, and policy risk assessments to support business expansion decisions.
 </li>
 <li>
 Monitor and interpret regional industrial policies, aviation regulations, airspace management frameworks, and technology standards relevant to unmanned aerial systems.
 </li>
 <li>
 Translate research insights into actionable, execution-ready business recommendations and strategic briefs for senior leadership.
 </li>
 <li>
 Build and maintain a network of regional contacts, industry experts, government relations channels, and potential partners to support on-the-ground intelligence gathering.
 </li>
 <li>
 Collaborate cross-functionally with product, operations, legal, and government affairs teams to align market research with business objectives and execution timelines.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master's degree or above, majors in International Relations, Economics, Political Science, Area Studies (Middle East), Business Administration, or related fields preferred.
 </li>
 <li>
 5+ years of professional experience in strategy consulting, industry research, market intelligence, or corporate strategy, with a demonstrated focus on international markets.
 </li>
 <li>
 Strong knowledge of the Middle East geopolitical environment, economic structures, and business culture, particularly within GCC countries.
 </li>
 <li>
 Proven ability to synthesize complex information into clear, concise, and decision-oriented outputs (reports, white papers, strategic memos).
 </li>
 <li>
 Fluent in English (written and spoken) with excellent business communication skills.
 </li>
 <li>
 Strong cross-cultural communication competence and comfort operating in ambiguous, fast-evolving international environments.
 </li>
 <li>
 Self-driven with the ability to manage multiple research workstreams independently and deliver under tight timelines.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Direct experience in the UAV, aviation, logistics, or mobility technology sectors.
 </li>
 <li>
 Prior experience supporting C-level or VP-level strategic decision-making in a technology company.
 </li>
 </ul>
</div>

Senior Strategy Researcher — Middle East

Explore 297+ Senior research analyst in Dubai this July. Find roles across top companies and apply now to boost your career.