31 Systems Analysis jobs in Dubai

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

We are seeking a highly skilled Data Analyst to join our team in Dubai. As a key member of our organization, you will be responsible for collecting, organizing, and analyzing data that informs business decisions.

- Collect and analyze large datasets to identify trends and patterns
- Develop and maintain databases to ensure accurate data storage and retrieval
- Create data visualizations to effectively communicate insights to stakeholders
- Collaborate with cross-functional teams to drive business growth through data-driven decision making

- Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
- Proficient in database management systems such as SQL and programming languages like Python
- Excellent problem-solving skills and ability to interpret complex data quickly and accurately
- Strong communication and presentation skills, with ability to clearly convey findings to colleagues and stakeholders
- Ability to work independently and collaboratively as part of a team

- Salary of 1300 AED per month
- Opportunity to work in a dynamic and growing industry
- Chance to develop your skills and expertise in data analysis

This is an excellent opportunity for individuals who are passionate about data and its applications. If you are motivated, detail-oriented, and able to work well under pressure, we encourage you to apply.

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

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

This 5-day course focuses on leveraging data analytics as a decision support tool in management. Data analytics is increasingly being used by professionals to make informed business decisions.

• Explore the applications of data analytics in management practice
• Leverage statistical evidence and integrate quantitative reasoning into decision making
• Promote confidence in using evidence-based information

• Explain the scope and structure of data analytics
• Apply cross-sectional data analytics techniques
• Interpret and critically assess statistical evidence
• Identify relevant applications of data analytics in practice

• Management support professionals
• Data analysts regularly encountering data/analytical information
• Professionals seeking to derive greater decision-making value from data analytics

Key Skills:

• Ability to interpret statistical evidence
• Integration of quantitative reasoning into decision making
• Appreciation of data analytics applications in management

Benefits:

• Improved decision-making skills through data-driven insights
• Enhanced understanding of data analytics in management
• Increased confidence in using evidence-based information

We are seeking a highly motivated and detail-oriented individual to support our team in the definition and creation of processes, analysis, harmonization, and optimization within our Performance Initiative program.

This role will involve working closely with our MEA department to prepare for workshops, document progress, and follow up on tasks. Additionally, you will develop global field service processes, document best practices for MEA, and create early indicators for budget controlling.

• Develop and implement professional tools for LCS Project Management, focusing on enhancing Offer volume & Hit rate analysis
• Create customer-driven KPI's and Strategic Controlling in LCS MEA, using Microsoft Power BI for reporting and data visualization

You will have the opportunity to work with a variety of stakeholders, including MEA teams and other departments, to drive business growth and improvement.

• Graduate degree in Business Administration or Business Engineering required
• Advanced knowledge of Excel, Access, SAP, and Power BI is necessary for success in this role

We offer a dynamic and supportive work environment, where you can grow your skills and expertise while making meaningful contributions to our organization.

Job Definition

• Support the Customer Group leadership team in achieving client and employee satisfaction, optimizing results on efficiency metrics, and maximizing performance through sustainable and repeatable process improvement strategies.
• Drive process improvement projects: Lead, monitor, participate in, and document process improvement initiatives to enhance performance and profitability. Partner with the Leadership Team to identify efficiency and cost-saving projects to achieve strategic objectives. Ensure high-impact projects targeting financial gains are regularly implemented.

Job Scope

• Drive solutions: Develop innovative solutions to improve Customer Group performance using cost-benefit analyses for short- and long-term decision-making.
• Coordinate initiatives: Create, implement, and govern new processes for specific functions, providing visibility to milestones and performance across all functions.
• Implementation of standards: Ensure end-to-end implementation of solutions according to high-performance benchmarks and standards.

What You'll Do

• Impact and efficiency: Lead coordination with other Customer Group team members to measure the impact and efficiency of new products and business processes.
• Reporting: Facilitate the development and maintenance of detailed models and dashboards for regional and global reporting.
• Opportunities: Oversee identification of operational weaknesses and help improve or innovate processes to maximize support team efficiency.
• Project efficiency: Coordinate with multiple teams on regional and site-level projects to monitor support and ensure timely completion, focusing on quality and service improvements, data analytics, migrations, people initiatives, reporting, standardization, and tracking plans, quality, and timelines.
• Planning: Estimate work efforts, identify project milestones, allocate resources, and ensure adherence to deadlines.
• Progress checks: Monitor progress, understand dependencies, communicate status to management and stakeholders, and coordinate schedules for meetings locally or across sites.
• Partner with business leaders: Proactively remove obstacles, enable progress, manage issue escalations, and support teams in balancing priorities.
• Deploy analytics expertise: Use analytical skills to solve problems and shift focus from detection and containment to prevention.
• Manage Lean Six Sigma strategy: Facilitate continuous production of products and initiatives in line with industry standards, regulations, and customer requirements.
• Execute optimal usage of BPS: Drive metrics related to the Balanced Scorecard to evaluate performance and reduce variability and defects in critical processes.
• Leadership in continuous improvement: Support ongoing efforts to meet and exceed customer requirements in a fast-paced environment.

Qualifications :

• Strong Excel skills are essential.
• Proven project management experience: Managing multiple end-to-end projects in a fast-paced environment within tight timescales (minimum 2 years).
• Organized: Excellent organizational and administrative skills, able to manage workload effectively.
• Communication: Ability to communicate clearly across different audiences and levels.
• Continuous Improvement: Innovative, creative, and constantly seeking process optimization.
• Analytical orientation: Demonstrate impact and efficacy of initiatives.
• Problem Solving: Ability to perform root cause analysis and drive results.
• Teamwork: Capable of working effectively in a matrixed, relationship-based organization.
• Proactive approach: Take ownership, provide solutions, and drive results independently.
• Bachelor's degree from a top university.

Additional Information :

• Competitive salary
• Discretionary annual bonus
• Medical insurance
• 40 days annual leave (including public holidays)
• Focus on wellbeing, including talks and self-development tools
• Global Employee Assistance Program

Remote Work : No

Employment Type : Full-time

Job Overview

We are seeking a talented Process Improvement Lead to drive process enhancement initiatives and contribute to our organization's success.

About the Role:

• The ideal candidate will be responsible for leading end-to-end process improvement projects, developing innovative solutions, and coordinating initiatives across various functions.
• This role requires strong analytical and problem-solving skills, excellent communication, and collaboration abilities.
• A successful Process Improvement Lead will have a proven track record of driving results, improving efficiency, and enhancing customer satisfaction.

About Us

We're a forward-thinking organization that values innovation, teamwork, and continuous improvement. If you're passionate about driving change and making a lasting impact, we'd love to hear from you!

Requirements:

• At least 2 years of experience in process improvement, project management, or a related field.
• Excellent organizational, communication, and analytical skills.
• Able to work effectively in a fast-paced environment with multiple priorities.

What We Offer:

Our team members enjoy competitive salaries, opportunities for growth and development, and a dynamic work environment that encourages creativity and collaboration.

Apply Today:

To apply, please submit your resume and cover letter highlighting your relevant experience and skills.

In DP World's Commercial Department, our Business Process Improvement (BPI) team are the internal innovators . We don't just follow procedures; we redesign them to be smarter, faster, and more customer centric. This is your chance to work at the heart of a global logistics leader. You'll solve real-world puzzles: How do we make quoting for a mega-container ship faster? How do we streamline contracts for our partners? How do we use data to predict customer needs? If you're a problem-solver who sees inefficiency as an opportunity, you belong here.

Your Mission:

As a BPI Graduate, you will be the analytical engine for the Commercial team. You'll work alongside commercial leaders to diagnose problems, design solutions, and implement changes that directly impact our bottom line and customer satisfaction.

• Be a Detective: Use root cause analysis to uncover why a process is broken and data to prove your case.
• Map the Future: Visualize current workflows and design the improved, future-state processes that will become our new global standard.
• Become a Tech-Savvy Innovator: Learn and apply Lean and Six Sigma methodologies to eliminate waste and automate manual tasks.
• Influence Decision-Makers: Prepare and deliver compelling presentations to stakeholders, persuading them to back your ideas for change.
• Build the Rulebook: Help draft and update the official policies and procedures that guide our global commercial teams.
• Drive Projects: Support (and eventually lead) small projects from idea to implementation, seeing your improvements go live.

• A degree in Business Administration, Commerce, Operations Management, Quality , or a related field.
• A problem-obsessed mindset – you can't leave a puzzle unsolved.
• Analytical superpowers – you love turning data into compelling stories.
• Communication skills to simplify complex ideas and influence others.
• A passion for commercial success and understanding what makes customers tick.
• No prior professional experience needed – we'll teach you the methodologies. Your fresh perspective is your advantage.

High Impact: Your projects will directly affect multi-million-dirhams contracts and global customer experiences.

Fast-Paced Learning: Get certified in Lean/Six Sigma and master tools like PowerPoint and data visualization.

Executive Exposure: Present your ideas to senior leaders and see them implemented across the company.

Career Springboard: This role is your direct path to careers in Commercial Management, Operations Leadership, Project Management, or Consulting within a Fortune 500 company.

• 12 Months of In-Depth Training: Engage in a well-rounded program that rotates you through different roles within DP World's UAE operations, developing a wide range of skills within a structured timeframe.
• Quarterly Presentations: Regular opportunities to present learning progress, insights, and ideas to hone communication skills.
• Mentorship: Each trainee is assigned a mentor; meet monthly for 1 hour. Sessions are confidential between Mentor-Mentee and the Emiratisation Team.
• Development: Access advanced training, workshops, and programs to stay at the forefront of industry knowledge.
• Professional Networking: Build connections with fellow graduates to support your career at DP World.

If you're ready to start a career where you can make your mark on a global scale, we want to hear from you.

• Entry level

• Full-time

• Customer Service and Administrative
• Industries: Transportation, Logistics, Supply Chain and Storage

Referrals increase your chances of interviewing at DP World by 2x

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