113 Research Lead jobs in the United Arab Emirates

The Director of Data Analysis is responsible for collecting processing and analysing real estate data from various sources with the aim of providing accurate data-driven insights that support strategic decision-making in the real estate sector in United Arab Emirates. The role focuses on enhancing market transparency developing sector-wide performance indicators and supporting policy formulation and investment planning based on data.

Responsibilities

• Collecting and analyzing real estate data from multiple sources
• Processing and cleaning data to ensure its accuracy consistency and readiness for analysis
• Analyzing real estate data to extract and update the real estate index which enhances market transparency
• Preparing reports and dashboards to support strategic decision-making
• Developing sector performance indicators (e.g. price indices supply and demand occupancy rates etc.)
• Supporting policy development and investment planning by providing data-driven recommendations
• Contributing to real estate market studies and identifying market trends to support and update strategic urban development plans
• Collaborating with government entities and investors to provide transparent and accurate insights into the real estate market

Requirements

• Bachelors degree in Economics Statistics Business Administration Data Analysis or a related field.
• 5 years of experience in data analysis or market research with knowledge of the real estate market.
• Certifications in data analysis or economics are not required but are preferred
• Certifications in Data Analysis such as RICS or CF

This role supports strategic and operational decision-making across departments. It combines strong business acumen with technical proficiency in tools like Excel, SQL, Python, and Power BI.

• Data collection, cleaning, and analysis from various systems.
• Maintenance of regular performance dashboards for occupancy, revenue, collections, and expenses.
• Generation of actionable insights and data visualizations to support leadership in key decisions.
• Assistance with forecasting and scenario planning (e.g., revenue trends, cost optimization).
• Ad hoc analysis and research on market trends, competitors, and benchmarks.
• Collaboration with teams (Finance, Legal, IT, etc.) to understand business needs and validate data.
• Identification of inconsistencies or inefficiencies in data or internal workflows, and proposal of improvements.
• Support for automation of recurring reports using Excel, BI tools, SQL queries, or Python scripts.

• Bachelor's degree in a STEM field, Finance, Economics, Statistics, Business Analytics, or a related discipline.
• 2-4 years of experience in a business or data analysis role, preferably within real estate or operational functions.
• Familiarity with UAE real estate regulations is an advantage.
• Proficiency in Microsoft Excel (advanced level), SQL, and Python for data handling and automation.
• Experience with BI tools such as Power BI (or similar platforms).
• Ability to build dashboards, analyze KPIs, and explain findings to non-technical stakeholders.

• Full-time employment offers the opportunity to work with a dynamic team and contribute to the company's success.
• Employment Type: Full-time.
• Job Function: Business Development and Investment Management.

The Director of Data Analysis is responsible for collecting, processing, and analysing real estate data from various sources, with the aim of providing accurate, data-driven insights that support strategic decision-making in the real estate sector in United Arab Emirates. The role focuses on enhancing market transparency, developing sector-wide performance indicators, and supporting policy formulation and investment planning based on data.

Responsibilities

• Collecting and analyzing real estate data from multiple sources
• Processing and cleaning data to ensure its accuracy, consistency, and readiness for analysis
• Analyzing real estate data to extract and update the real estate index, which enhances market transparency
• Preparing reports and dashboards to support strategic decision-making
• Developing sector performance indicators (e.g., price indices, supply and demand, occupancy rates, etc.)
• Supporting policy development and investment planning by providing data-driven recommendations
• Contributing to real estate market studies and identifying market trends to support and update strategic urban development plans
• Collaborating with government entities and investors to provide transparent and accurate insights into the real estate market

Requirements

• Bachelor's degree in Economics, Statistics, Business Administration, Data Analysis, or a related field.
• 5 years of experience in data analysis or market research, with knowledge of the real estate market.
• Certifications in data analysis or economics are not required but are preferred
• Certifications in Data Analysis, such as RICS or CF

We are seeking a skilled professional to lead our data analysis team. As a Lead Data Analyst, you will be responsible for overseeing a team of analysts and collaborating with developers and stakeholders to ensure software meets business needs.

• Manage a team of data analysts
• Create data marts and data lakes using mappings
• Design user interfaces and dashboards for data visualization and interaction
• Test and validate software and data products for accuracy and reliability

• Bachelor's or master's degree in Computer Science, IT, or related field
• Experience with data processing and analysis using Data Bricks
• Expert-level proficiency in SQL, Python, SAS/R, Spark
• Deployment experience in databases, server/cloud environments (AWS, Azure), APIs, ODBCs, web apps

• Career Growth: Opportunities for professional development and advancement
• Performance-Based Compensation: Competitive pay linked to performance
• Inclusive Culture: Join a collaborative team that values innovation and every voice

This is an exciting opportunity to work with a talented team and contribute to our success.

We are seeking a dynamic and ambitious BD Market Research Intelligence Lead to join our team. As one of the leading Canadian companies in the region, Pharmascience is looking for a BD Portfolio Lead who will support the dynamics of our growing portfolio in various activities including market data analysis, industry trends reporting, business performance assessment leading to accelerated Portfolio expansion and maximized in market performance.He/she should demonstrate high level of agility and knowledge in pharmaceutical marketing (With updated knowledge on the latest industry trends globally & regionally), demonstrated organizational & analytical skills, & excellent communication skills to facilitate collaboration between different cross functions and efficiently facilitate accelerated growth.ResponsibilitiesMarket Research: Conduct & report market research to identify trends, potential opportunities, competitor activities, and customer insights to help guide portfolio and marketing strategies.Data Analysis: Track and report on existing portfolio performance metrics; use insights to optimize marketing efforts, generate monthly reports on key brands in market performance across key markets.Business Planning: Contribute in the preparation of the long-term business strategy through conducting market analysis and financial forecasting, identify growth opportunities and potential risks to support strategic decision-making. Collaborate with cross-functional teams to align business objectives with financial and operational planning.Marketing Plan and Budget Management: Tracking and reporting annual marketing plans aligned with business objectives, communicate the marketing budget progress, with different cross-functional teams. Monitor marketing performance metrics and communicate recommended strategies as needed.Co-Developing Business Cases for New Product Launches: Conduct market research and feasibility studies for new product launches. Develop business cases, including financial projections and competitive analysis, to support rational investment decisions. Optimize the product portfolio mix by assessing performance and identifying areas for expansion or rationalization.Project Coordination: Organize timelines, communicate project milestones, and collaborate with cross-functional teams to ensure the timely completion of projects.Skills, Knowledge And AbilitiesStrong data management skillsExtensive knowledge of the pharmaceutical industry dynamics and trends in the MEA markets, with the ability to project conclusions.Strong analytical & planningConfident to suggest and present new ideas supported with analytical evidence.Strong business acumen with preferred experience in new productStrong personal drive, enthusiasm, and self-motivation.Demonstrated expertise in tactical planning, new launches, and pharmaceutical product promotion.Excellent interpersonal, organizational, and presentationDemonstrated ability to Lead and develop a high-performanceSpoken and written fluency in English and Arabic, additional language is an asset.

Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at

Bjak seeks a Lead Research Analyst for Blockchain in Hong Kong to drive research, generate insights, and engage stakeholders, focusing on innovative financial services in ASEAN.

Description

About Bjak
Bjak is focused on providing access to affordable and sustainable financial services for people in ASEAN. Headquartered in Malaysia, Bjak is the largest insurance portal in Southeast Asia. Our main portal, Bjak.com, helps millions find the insurance policy with the best value and highest coverage for them. Our investments in technology such as Custom API, blockchain, trading systems, and data science enable easy access to financial services that were previously inaccessible or difficult to understand. Our core strengths lie in navigating the most complex regulations and environments, creating some of the most innovative products in the world. For instance, we are the first platform globally to simplify and offer investment-linked life and health insurance online, coupled with an instant talk-to-agent service.

Job Overview
We are seeking a Lead Research Analyst for Blockchain to join our team in Hong Kong. In this role, you will lead blockchain research initiatives, providing deep insights and analysis on blockchain technologies and their applications within the financial services sector. You will produce detailed research reports, engage with industry stakeholders, and leverage both qualitative and quantitative data to support Bjak's strategic goals.

Key Responsibilities
Conduct comprehensive research and analysis on blockchain technologies, trends, and their impact on the financial services sector.
Develop and publish in-depth research reports that provide unique insights and actionable recommendations.
Formulate original theses on blockchain trends and technologies, using these as the foundation for your research.
Stay abreast of key developments in the blockchain space, with the ability to produce timely reports as needed.
Engage with industry stakeholders, including investors, developers, and other professionals, to gather insights and validate research findings.
Collaborate with the broader research team to ensure alignment and coherence in research outputs.
Represent the company at industry events and on social media platforms, enhancing the company's visibility and reputation in the blockchain community.

Requirements
3+ years of experience in blockchain research or a related field within the financial services industry.
Proven track record of producing high-quality research reports and analysis.
Strong understanding of blockchain protocols, smart contracts, and distributed ledger technologies.
Excellent communication skills, with the ability to articulate complex concepts clearly and concisely.
Ability to synthesize a wide range of data and insights into a coherent framework that facilitates in-depth understanding of blockchain technologies.
Resourceful, curious, and able to think critically and independently.
Strong data analysis skills and familiarity with blockchain metrics and data sources.

Preferred Qualifications
Knowledge of SQL and Python for data extraction and analysis.
Experience in conducting valuations and financial analysis within the blockchain space.
Familiarity with the landscape for blockchain and cryptocurrencies worldwide.

Benefits
Work remotely.
Work in a fast-growing startup that promotes flexible and open culture.
Fast moving, challenging and unique business problems.
Attractive remuneration and performance incentives.
Strong learning and development plans for your career growth.
Great career development opportunities in a fast growing company.
International work environment and flat organization.

Hello there! Welcome to TeachMeCode Institute. How can we help you?

Join our in-person classes at TeachMeCode’s campus in Dubai and have the best learning environment.

Explore the features of Figma and learn how to create exceptional web and mobile UI/UX designs. By the end of this course, you will have the skills to design user-friendly and visually appealing interfaces for both web and mobile applications.

Gain a solid understanding of essential web technologies and become a front-end specialist. Learn how to create interactive web pages that respond to user interactions and are fully responsive across all devices. Develop the skills to build dynamic websites that provide a seamless user experience.

Begin a comprehensive journey into backend development with PHP, MySQL, and Laravel. By the end of this course, you will be skilled in building secure web applications, designing efficient databases, and utilizing Laravel's features to create advanced, feature-rich websites.

Learn the fundamentals of Python programming and master the Django framework. By the end of this course, you will have the expertise to write efficient Python code and develop dynamic web applications using Django, empowering you to build scalable and secure websites.

With Java and Android Studio, you'll learn how to build strong mobile apps and design efficient databases. By the end of the course, you'll be skilled at using Android Studio to create exciting and fully functional apps.

Master in-demand skills with our full-stack web development curriculum, guided by expert instructors with real-world experience. By the end of this bootcamp, you will be confident and prepared to enter the IT job market.

Our Python Bootcamp is designed to equip you with highly sought-after skills. Our seasoned instructors bring real-world expertise to the classroom. Upon completing this bootcamp, you’ll be ready to enter the job market with confidence and preparation.

Join our hands-on bootcamp to explore the exciting fields of Artificial Intelligence (AI) and Machine Learning (ML). This course is perfect for beginners and those wanting to enhance their skills. You'll start with the basics of Python programming and learn the key concepts of AI and ML.

Become a data expert with our Data Analytics Intensive Bootcamp. This course is designed to give you the skills and knowledge you need to succeed in today's data-focused world. You'll get hands-on training and an industry-recognized certification, making it perfect for beginners and anyone wanting to advance their career in data analytics.

Have the skills to create their own websites, transforming into a coding champion in the making! They'll gain confidence, creativity, and a strong foundation for future tech endeavors.

Bjak seeks a Lead Research Analyst for Blockchain in Hong Kong to conduct research, produce reports, and engage with stakeholders, ensuring innovation and insights in financial services technology.

Bjak is focused on providing access to affordable and sustainable financial services for people in ASEAN. Headquartered in Malaysia, Bjak is the largest insurance portal in Southeast Asia. Our main portal, Bjak.com, helps millions find the insurance policy with the best value and highest coverage for them.

We are seeking a Lead Research Analyst for Blockchain to join our team in Hong Kong. In this role, you will lead blockchain research initiatives, providing deep insights and analysis on blockchain technologies and their applications within the financial services sector. You will produce detailed research reports, engage with industry stakeholders, and leverage both qualitative and quantitative data to support Bjak's strategic goals.

1. Conduct comprehensive research and analysis on blockchain technologies, trends, and their impact on the financial services sector.
2. Develop and publish in-depth research reports that provide unique insights and actionable recommendations.
3. Formulate original theses on blockchain trends and technologies, using these as the foundation for your research.
4. Stay abreast of key developments in the blockchain space, with the ability to produce timely reports as needed.
5. Engage with industry stakeholders, including investors, developers, and other professionals, to gather insights and validate research findings.
6. Collaborate with the broader research team to ensure alignment and coherence in research outputs.
7. Represent the company at industry events and on social media platforms, enhancing the company's visibility and reputation in the blockchain community.

1. 3+ years of experience in blockchain research or a related field within the financial services industry.
2. Proven track record of producing high-quality research reports and analysis.
3. Strong understanding of blockchain protocols, smart contracts, and distributed ledger technologies.
4. Excellent communication skills, with the ability to articulate complex concepts clearly and concisely.
5. Ability to synthesize a wide range of data and insights into a coherent framework that facilitates in-depth understanding of blockchain technologies.
6. Resourceful, curious, and able to think critically and independently.
7. Strong data analysis skills and familiarity with blockchain metrics and data sources.

1. Knowledge of SQL and Python for data extraction and analysis.
2. Experience in conducting valuations and financial analysis within the blockchain space.
3. Familiarity with the landscape for blockchain and cryptocurrencies worldwide.

1. Work remotely.
2. Work in a fast-growing startup that promotes flexible and open culture.
3. Fast moving, challenging and unique business problems.
4. Attractive remuneration and performance incentives.
5. Strong learning and development plans for your career growth.
6. Great career development opportunities in a fast growing company.
7. International work environment and flat organization.

Bjak seeks a Lead Research Analyst for Blockchain in Hong Kong to drive research, generate insights, and engage stakeholders, focusing on innovative financial services in ASEAN.

Description

About Bjak
Bjak is focused on providing access to affordable and sustainable financial services for people in ASEAN. Headquartered in Malaysia, Bjak is the largest insurance portal in Southeast Asia. Our main portal, Bjak.com, helps millions find the insurance policy with the best value and highest coverage for them. Our investments in technology such as Custom API, blockchain, trading systems, and data science enable easy access to financial services that were previously inaccessible or difficult to understand. Our core strengths lie in navigating the most complex regulations and environments, creating some of the most innovative products in the world. For instance, we are the first platform globally to simplify and offer investment-linked life and health insurance online, coupled with an instant talk-to-agent service.

Job Overview
We are seeking a Lead Research Analyst for Blockchain to join our team in Hong Kong. In this role, you will lead blockchain research initiatives, providing deep insights and analysis on blockchain technologies and their applications within the financial services sector. You will produce detailed research reports, engage with industry stakeholders, and leverage both qualitative and quantitative data to support Bjak's strategic goals.

Key Responsibilities
Conduct comprehensive research and analysis on blockchain technologies, trends, and their impact on the financial services sector.
Develop and publish in-depth research reports that provide unique insights and actionable recommendations.
Formulate original theses on blockchain trends and technologies, using these as the foundation for your research.
Stay abreast of key developments in the blockchain space, with the ability to produce timely reports as needed.
Engage with industry stakeholders, including investors, developers, and other professionals, to gather insights and validate research findings.
Collaborate with the broader research team to ensure alignment and coherence in research outputs.
Represent the company at industry events and on social media platforms, enhancing the company's visibility and reputation in the blockchain community.

Requirements
3+ years of experience in blockchain research or a related field within the financial services industry.
Proven track record of producing high-quality research reports and analysis.
Strong understanding of blockchain protocols, smart contracts, and distributed ledger technologies.
Excellent communication skills, with the ability to articulate complex concepts clearly and concisely.
Ability to synthesize a wide range of data and insights into a coherent framework that facilitates in-depth understanding of blockchain technologies.
Resourceful, curious, and able to think critically and independently.
Strong data analysis skills and familiarity with blockchain metrics and data sources.

Preferred Qualifications
Knowledge of SQL and Python for data extraction and analysis.
Experience in conducting valuations and financial analysis within the blockchain space.
Familiarity with the landscape for blockchain and cryptocurrencies worldwide.

Benefits
Work remotely.
Work in a fast-growing startup that promotes flexible and open culture.
Fast moving, challenging and unique business problems.
Attractive remuneration and performance incentives.
Strong learning and development plans for your career growth.
Great career development opportunities in a fast growing company.
International work environment and flat organization.

Effective Business Decisions Using Data Analysis

ID 257

Course: Effective Business Decisions Using Data Analysis

This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.

• Discussions on applications of data analytics in management
• The importance of data in data analytics
• Applying data analytical methods through worked examples
• Focusing on management interpretation of statistical evidence
• How to integrate statistical thinking into the work domain

• Explain the scope and structure of data analytics.
• Apply a cross-section of useful data analytics.
• Interpret meaningfully and critically assess statistical evidence.
• Identify relevant applications of data analytics in practice.

• Professionals in management support roles
• Analysts who typically encounter data/analytical information regularly in their work environment
• Those who seek to derive greater decision-making value from data analytics

This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.

• Day One: Setting the Statistical Scene in Management
  • Introduction; The quantitative landscape in management
  • Thinking statistically about applications in management (identifying KPIs)
  • The integrative elements of data analytics
  • Data: The raw material of data analytics (types, quality, and data preparation)
  • Exploratory data analysis using Excel (pivot tables)
  • Using summary tables and visual displays to profile sample data
• Day Two: Evidence-based Observational Decision Making
  • Numeric descriptors to profile numeric sample data
  • Central and non-central location measures
  • Quantifying dispersion in sample data
  • Examine the distribution of numeric measures (skewness and bimodal)
  • Exploring relationships between numeric descriptors
  • Breakdown analysis of numeric measures
• Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
  • The foundations of statistical inference
  • Quantifying uncertainty in data – the normal probability distribution
  • The importance of sampling in inferential analysis
  • Sampling methods (random-based sampling techniques)
  • Understanding the sampling distribution concept
  • Confidence interval estimation
• Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
  • The rationale of hypotheses testing
  • The hypothesis testing process and types of errors
  • Single population tests (tests for a single mean)
  • Two independent population tests of means
  • Matched pairs test scenarios
  • Comparing means across multiple populations
• Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
  • Exploiting statistical relationships to build prediction-based models
  • Model building using regression analysis
  • Model building process – the rationale and evaluation of regression models
  • Data mining overview – its evolution
  • Descriptive data mining – applications in management
  • Predictive (goal-directed) data mining – management applications