234 Hr Data 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

• 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 detail-oriented and analytical professional to join our team as a Data Analyst . In this role, you will be responsible for collecting, analyzing, and presenting data related to financial performance, sales performance, and other areas of responsibility.

Business Analyst – Riyadh Based

We are seeking a highly skilled Business Analyst to join our team in Riyadh, Saudi Arabia.

• A strong understanding of market risk measurement and management is essential for this role.
• The ideal candidate will have a thorough knowledge of quantitative skills and the ability to support clients across the region. They will be responsible for managing client relationships and developing expertise in data analysis.
• Key responsibilities include:
1. Develop strategic plans to ensure client retention and satisfaction
2. Stay up-to-date with the latest market trends and regulatory landscape
3. Identify opportunities to increase client usage of data analysis tools
4. Work closely with the sales team on cross-product selling opportunities
5. Engage with clients to inform them of product roadmaps and solicit feedback regarding future development
6. Collaborate with internal teams to ensure client requests are managed appropriately
7. Respond to detailed client enquiries and hold advanced training workshops

This is an exciting opportunity to work with a leading provider of critical decision support tools and services for the global investment community. We offer a range of benefits, including flexible working arrangements, advanced technology, and collaborative workspaces.

As a Business Analyst at MSCI, you'll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers who are passionate about making a difference through their work.

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As the HR Systems and People Analytics Partner, you will oversee the strategy, governance, and continuous improvement of our Human Resource Information Systems (HRIS) and analytics capabilities. You’ll partner closely with HR leadership, IT, and business stakeholders to ensure systems are optimized, data is accurate and secure, and insights are leveraged to drive both operational efficiency and strategic workforce planning.

Key Responsibilities

• Lead HRIS Strategy & Management – Oversee the configuration, maintenance, and enhancement of HR systems to meet evolving business needs.
• Drive People Analytics – Design and deliver workforce analytics, dashboards, and reports that provide actionable insights for leadership and HR teams.
• Ensure Data Integrity & Compliance – Maintain high standards of data accuracy, governance, and security in line with privacy regulations.
• System Improvements & Innovation – Evaluate emerging HR technology trends and recommend enhancements or new solutions.
• Stakeholder Partnership – Collaborate with HR, IT, Finance, and other teams to streamline processes and improve the employee experience.
• Training & Change Management – Develop resources and deliver training to ensure end-users can maximize system functionality.
• Integration Oversight – Manage system integrations with payroll, timekeeping, benefits, and other business platforms.
• Performance Monitoring – Track KPIs related to system usage, data quality, and reporting accuracy.

What We’re Looking For

• Bachelor’s degree in Human Resources, Information Systems, Data Analytics, or related field (Master’s degree a plus) with 7+ years of progressive HRIS experience, with at least 2–3 years in a managerial or strategic role.
• Proficiency in leading HR systems (SAP SuccessFactors, Oracle, Workday, or similar) and advanced reporting tools (Power BI, Tableau, or similar).
• Strong understanding of HR processes, compliance requirements, and workforce planning.
• Proven track record of delivering data-driven insights to influence HR and business strategy.
• Exceptional communication, problem-solving, and stakeholder management skills.
• Ability to lead projects, manage multiple priorities, and drive adoption of new technologies.

Why Join Us?

You’ll lead a high-impact function at the intersection of HR, technology, and analytics, shaping the way we make data-driven talent decisions. This is a unique opportunity to influence both strategic and operational outcomes while working with a collaborative, forward-thinking team.

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionHuman Resources
• IndustriesInvestment Management

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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

Unlock the power of data-driven decision making as a skilled Data Analyst.

Drive business growth by collecting, analyzing, interpreting, and presenting complex data insights from multiple sources.

Design experiments to test hypotheses and develop predictive models to inform strategic decision-making processes within the organization.

• Collaborate with cross-functional teams to identify key performance indicators and develop compelling data visualizations to communicate findings.

Work closely with our team to create and maintain accurate, reliable datasets that support informed business decisions.

Strong understanding of data visualization techniques, machine learning algorithms, and statistical models.

Experience with programming languages such as R or Python is advantageous but not essential.

A degree in mathematics, computer science, or a related field is beneficial but not mandatory.

Excellent communication and presentation skills are necessary to effectively convey complex ideas to stakeholders.

A competitive compensation package, including health insurance, paid holidays, and flexible working hours.

Opportunities to develop your skills in a fast-paced environment while making a significant impact on our company's strategy.

Are you a people-first operations leader who thrives on wearing multiple hats and bringing order to chaos?

Do you get energy from creating delightful workplaces, supporting executive teams, and building the operational backbone of a fast-growing startup? If you're a doer with sharp organizational instincts and a heart for people — this is your seat at the SmartCrowd table.

About SmartCrowd

Join the revolution at SmartCrowd, where fintech innovation meets real estate investment We're not your average company; we're a dynamic startup with a bold vision: to become the leading crowdfunding platform in the MENA region and beyond.

Our mission? To democratize real estate investing through fractional ownership, breaking barriers for investors of all backgrounds. Backed by cutting-edge tech and a passionate team, SmartCrowd is redefining how the region builds wealth.

Job Summary

We're looking for a highly adaptable and proactive HR Manager to take charge of SmartCrowd's day-to-day operations, HR function, and employee experience. You'll be at the center of the team — managing our workplace, supporting our executive leadership, and enabling our people to thrive.

This isn't your typical HR or admin role. You'll wear many hats, from managing visas and insurance to running culture initiatives and scheduling executive meetings. If you're resourceful, structured, and love building internal systems that work, you'll feel right at home.

What You'll Do

1. Own the Office: Ensure our Dubai office is well-maintained, organized, and operating smoothly.
2. Lead HR Processes: Develop and implement policies, onboarding plans, KPIs, and performance frameworks.
3. Manage Compliance: Handle employee records, work permits, visa renewals, and medical insurance in line with UAE regulations.
4. Support the C-Suite: Manage calendars, schedule meetings, book travel, and support executive productivity.
5. Champion Culture: Plan team events, support internal communication, and maintain a strong team vibe.
6. Be the Go-To: Serve as the point of contact for day-to-day employee needs and administrative tasks.
7. Vendor & PRO Liaison: Coordinate with government agencies and service providers to get things done on time.

What We're Looking For

• 4+ years of experience in HR, admin, office management, or executive support — preferably in a startup or fast-paced environment.
• Working knowledge of UAE labor law, visa systems, and PRO procedures.
• Strong organizational and multitasking skills — you get things done, and done right.
• Excellent communication, empathy, and problem-solving abilities.
• High level of discretion and professionalism in handling confidential matters.
• Tech-savvy — comfortable with Microsoft Office, HRIS tools, and scheduling platforms.

What Success Looks Like

• Office operations run like clockwork without constant intervention.
• C-level leaders are well-supported and able to focus on strategic work.
• Team members are engaged, empowered, and informed.
• HR systems are compliant, scalable, and human-centered.

Benefits

Why Join SmartCrowd?

• Work with passionate, high-performing people in a purpose-driven startup.
• Have a direct impact on our people, culture, and operational success.
• Shape the backbone of a scaling business — from systems to team experience.
• Collaborate closely with founders and leadership on company growth.
• Help democratize real estate investing in one of the region's fastest-growing fintech platforms.

Perks & Benefits

• Competitive compensation package
• Medical insurance
• Paid vacation & public holidays
• Performance bonus
• Work directly with senior leadership
• A culture that values autonomy, clarity, and momentum

Hiring Process

We respect your time and keep things simple (~3–4 hours total):

• Intro Chat – Get to know each other
• Experience & Scenario Interview – Dive into how you solve problems and build processes
• Culture & Leadership Interview – Align on mission, values, and team fit

About the opportunity

The Growth Data Science Director will lead and accelerate growth strategies across marketing optimization, product initiatives (e.g., churn reduction), ecosystem plays, and ads revenue for talabat and Quick commerce. This role requires collaboration with product teams, senior marketing, and partner leadership to drive data-driven decisions and business growth.

What’s On Your Plate?

• Data Science: Define and execute data strategies aligned with company goals, leading cross-functional teams to develop innovative data-driven products and insights that impact business outcomes.
• Strategic Leadership and Business Acumen: Demonstrate strategic leadership, articulate vision, and incorporate emerging trends and technologies to add value.
• Collaboration and Influence: Work with stakeholders including executives, product managers, engineers, and external partners; represent the organization at industry events.
• Resource Management: Manage teams, budgets, and resources; prioritize projects; coach and mentor managers.
• Strategic Hiring and Talent Development: Recruit, develop career paths, and provide feedback to team members.
• Organizational Change Management: Lead change initiatives, communicate effectively, and manage resistance.

What you need to be successful

• 8-10+ years in data science, with leadership experience in managing teams or consulting.
• Ph.D. or Master’s in relevant fields such as computer science, statistics, or data science.
• Proven leadership in fostering high-performance teams and applying data science skills to create impactful products and insights.
• Deep knowledge of statistics, causality, experimentation, and modeling.
• Business acumen with experience in quantifying impact through data initiatives.
• Strategic thinking and ability to develop data-driven roadmaps aligned with organizational goals.

Who we are

Since 2004, talabat has been Kuwait’s leading on-demand food and Q-commerce app, serving eight countries. We leverage technology to simplify life, optimize operations, and provide earning opportunities. We foster a high-performance culture, value authenticity, and are proud of our awards and diverse team of over 6,000 Talabaty committed to making a difference.

About the opportunity

The Growth Data Science Director will lead and accelerate growth strategies across marketing optimization, product initiatives (e.g., churn reduction), ecosystem plays, and ads revenue for talabat and Quick commerce. This role requires collaboration with product teams, senior marketing, and partner leadership to drive data-driven decisions and business growth.

What’s On Your Plate?

• Data Science: Define and execute data strategies aligned with company goals, leading cross-functional teams to develop innovative data-driven products and insights that impact business outcomes.
• Strategic Leadership and Business Acumen: Demonstrate strategic leadership, articulate vision, and incorporate emerging trends and technologies to add value.
• Collaboration and Influence: Work with stakeholders including executives, product managers, engineers, and external partners; represent the organization at industry events.
• Resource Management: Manage teams, budgets, and resources; prioritize projects; coach and mentor managers.
• Strategic Hiring and Talent Development: Recruit, develop career paths, and provide feedback to team members.
• Organizational Change Management: Lead change initiatives, communicate effectively, and manage resistance.

What you need to be successful

• 8-10+ years in data science, with leadership experience in managing teams or consulting.
• Ph.D. or Master’s in relevant fields such as computer science, statistics, or data science.
• Proven leadership in fostering high-performance teams and applying data science skills to create impactful products and insights.
• Deep knowledge of statistics, causality, experimentation, and modeling.
• Business acumen with experience in quantifying impact through data initiatives.
• Strategic thinking and ability to develop data-driven roadmaps aligned with organizational goals.

Who we are

Since 2004, talabat has been Kuwait’s leading on-demand food and Q-commerce app, serving eight countries. We leverage technology to simplify life, optimize operations, and provide earning opportunities. We foster a high-performance culture, value authenticity, and are proud of our awards and diverse team of over 6,000 Talabaty committed to making a difference.

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