17 Statistical Analysis jobs in Dubai

We are seeking a talented professional to join our team as a Data Analyst. This is an exciting opportunity for someone who wants to work with cutting-edge technology and make a real impact.

The ideal candidate will have strong analytical skills and be able to collect and analyze complex data sets to identify trends and insights. They will also have excellent communication skills and be able to present their findings to stakeholders in a clear and concise manner.

In this role, you will work closely with cross-functional teams to design and implement data-driven solutions that drive business growth and improve customer experience. You will also have the opportunity to work on high-impact projects and collaborate with other professionals to develop new ideas and approaches.

• Design and implement data analytics solutions using machine learning algorithms and statistical models.
• Analyze large datasets to identify trends and insights that inform business decisions.
• Develop and maintain databases and data warehouses to support business intelligence initiatives.
• Presents findings to stakeholders through reports, dashboards, and presentations.

Job Title: Business Operations Specialist

• Manage User Acceptance Testing (UAT) for projects to ensure efficient and timely completion in collaboration with cross-functional teams.
• Provide accurate and timely data/information for monthly, quarterly, and yearly reporting for the Financial & Management Reporting team.
• Respond to queries from the finance community related to Finance Information Systems.
• Design and develop automated reports and dashboards for various Finance Teams in collaboration with stakeholders.
• Update senior management on project progress, deliverables, service tickets, defects, and issue resolution.

Meticulously track projects, URFs, and other deliverables until closure, providing periodic status updates proactively.

• Work as a Techno-Functional team member representing Finance during implementation of projects, URFs/CRs, and enhancements of Finance information systems.
• Collaborate with Finance Information & Projects team and other departments during projects & URFs to ensure data accuracy and automation of reporting.
• Participate in UAT for Finance information systems to ensure data and reporting accuracy.
• Design & develop procedures, queries, and templates for UAT execution and completion.
• Coordinate system changes for seamless enhancements in reporting streams & applications.
• Highlight potential issues in projects, BAU, and MIS generation to management for resolution.
• Handle queries and periodic/ADHOC reporting requirements from Finance teams.
• Initiate, track, and resolve service tickets related to core banking and other applications affecting reporting.

• Seniority level: Not Applicable
• Employment type: Contract
• Job function: Research, Analyst, and Information Technology
• Industries: IT Services and IT Consulting

Referrals can increase your chances of interviewing at this company by 2x. Get notified about new Business Operations Specialist jobs in your area.

• Analyze data and create detailed reports.
• Collaborate with senior managers and partners on risk assessment and audit planning.
• Coordinate analytical, technical, and research tasks.
• Deliver findings and recommendations to stakeholders.

• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.
• Ability to work in a fast-paced environment.
• Proficiency in computer applications and software.

We are seeking an ambitious and detail-oriented individual to join our team as a Junior Surveyor. As a Junior Surveyor, you will have the opportunity to work on a variety of projects, develop your skills and expertise, and contribute to the success of our organization.

A Data Analyst position is available in Dubai, United Arab Emirates.

The ideal candidate will have experience in data analysis and extraction tools like SQL.

• 4+ years of experience in OBIEE (Oracle Business Intelligence)
• Advanced knowledge of OBIEE, SQL & SAS
• Strong technical skills

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology

Successful applicants will have a strong background in banking products and reporting.

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.

We are seeking a skilled Junior Product Growth Analyst to join our team. The ideal candidate will possess strong analytical skills, the ability to interpret complex data, and excellent communication skills.

The successful candidate will work closely with development teams to identify opportunities for growth and develop data-driven solutions to drive business results.

A Bachelor's degree in Mathematics, Computer Science, Marketing or a related field is required, as well as at least 3 years of experience in a similar role. Strong SQL skills, A/B testing expertise, and experience working with product and development teams are essential.

The ideal candidate will be able to analyze complex data sets, identify trends and patterns, and communicate findings effectively to stakeholders. Experience working with digital platforms, marketing, and technology is also highly desirable.

This is an exciting opportunity for a motivated individual to join a fast-paced team and contribute to driving business growth.

• Analyze complex data sets to identify trends and patterns
• Develop data-driven solutions to drive business results
• Collaborate with development teams to implement new initiatives
• Maintain up-to-date knowledge of industry trends and best practices

• Bachelor's degree in Mathematics, Computer Science, Marketing or related field
• At least 3 years of experience in a similar role
• Strong SQL skills
• A/B testing expertise
• Experience working with product and development teams
• Excellent analytical and communication skills

• Fast-paced team environment
• Multicultural workplace
• Competitive salary
• Comprehensive health insurance
• Annual air ticket allowance
• Employee discounts
• Rewards and recognition
• Learning and development opportunities

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

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.