147 Business Analysis jobs in Dubai

Well established and highly successful organisation in Abu Dhabi, competing at an international scale.

• Leading the strategic planning process, facilitating strategic dialogues across business units and functions to align objectives and priorities with company vision

• Developing and maintaining a comprehensive strategic roadmap, identifying key growth opportunities and assessing potential risks and challenges

• Overseeing the development of robust business cases to support strategic investments and initiatives, ensuring thorough financial and operational analysis

• Establishing and driving a comprehensive performance management framework, including the definition of key performance indicators (KPIs), target setting and performance monitoring mechanisms

• Leading a team of professionals within the strategic planning and performance management function, fostering a high-performance culture and supporting their professional development

• Collaborating closely with finance, operations, and other key stakeholders to ensure alignment between strategic objectives and operational execution

• Presenting strategic plans and performance reports to the executive leadership team and the board of directors

• A strong academic background, ideally with a Master's degree in Business Administration, Finance, Economics, or a related field

• A proven track record of success working for an international consulting firm within the Middle East. The ideal candidate will have a blend of both consulting and in-house industry strategic planning experience

• Highly desirable sector experience within the utilities industry, demonstrating a strong understanding of the sector's dynamics and challenges

• Exceptional analytical and problem-solving skills, with the ability to interpret complex data and translate it into actionable insights

• A hands-on, proactive approach and a demonstrated ability to both develop strategy and drive implementation

• Strong leadership and team management skills, with experience in managing and developing a team

• Excellent communication, presentation and stakeholder management skills, with the ability to influence senior leadership through your story telling expertise

Well established and highly successful organization in Abu Dhabi, competing on an international scale.

1. Lead the strategic planning process, facilitating dialogues across business units to align objectives with the company's vision.
2. Develop and maintain a comprehensive strategic roadmap, identifying growth opportunities and assessing risks.
3. Oversee the development of business cases supporting strategic investments, ensuring thorough financial and operational analysis.
4. Establish and drive a performance management framework, including KPIs, targets, and monitoring mechanisms.
5. Lead and mentor the strategic planning and performance management team, fostering a high-performance culture.
6. Collaborate with finance, operations, and other stakeholders to ensure strategic and operational alignment.
7. Present strategic plans and performance reports to executive leadership and the board.

• Master's degree in Business Administration, Finance, Economics, or related field.
• Proven success in an international consulting firm within the Middle East, with both consulting and in-house strategic planning experience.
• Sector experience in utilities, with a strong understanding of its dynamics.
• Exceptional analytical, problem-solving, and data interpretation skills.
• Proactive, hands-on approach with experience in strategy development and implementation.
• Strong leadership and team management capabilities.
• Excellent communication, presentation, and stakeholder management skills, with storytelling expertise for influencing senior leadership.

Well established and highly successful organization in Abu Dhabi, competing on an international scale.

1. Lead the strategic planning process, facilitating dialogues across business units to align objectives with the company's vision.
2. Develop and maintain a comprehensive strategic roadmap, identifying growth opportunities and assessing risks.
3. Oversee the development of business cases supporting strategic investments, ensuring thorough financial and operational analysis.
4. Establish and drive a performance management framework, including KPIs, targets, and monitoring mechanisms.
5. Lead and mentor the strategic planning and performance management team, fostering a high-performance culture.
6. Collaborate with finance, operations, and other stakeholders to ensure strategic and operational alignment.
7. Present strategic plans and performance reports to executive leadership and the board.

• Master's degree in Business Administration, Finance, Economics, or related field.
• Proven success in an international consulting firm within the Middle East, with both consulting and in-house strategic planning experience.
• Sector experience in utilities, with a strong understanding of its dynamics.
• Exceptional analytical, problem-solving, and data interpretation skills.
• Proactive, hands-on approach with experience in strategy development and implementation.
• Strong leadership and team management capabilities.
• Excellent communication, presentation, and stakeholder management skills, with storytelling expertise for influencing senior leadership.

We are seeking a highly skilled Process Improvement Specialist to support the development, implementation, and maintenance of efficient processes, policies, and internal controls throughout our organization.

• Process Optimization:
1. Dive into identifying, evaluating, and implementing process improvements to increase efficiency, reduce costs, and enhance service quality.
2. Collaborate with cross-functional teams to map and streamline workflows, ensuring optimal use of resources and compliance with established standards.
3. Conduct process assessments and audits to identify areas for improvement and recommend solutions to boost productivity and mitigate risks.
• Policy Development:
1. Assist in crafting, reviewing, and updating company policies and procedures to ensure compliance with regulatory requirements, industry standards, and organizational goals.
2. E nsure that policies are consistently applied across departments, and support teams in understanding and adhering to company policies.
3. Provide guidance to departments regarding policy interpretation and implementation.
• Internal Controls:
1. Support the design, implementation, and maintenance of internal control frameworks to safeguard company assets, ensure financial integrity, and prevent fraud or errors.
2. Conduct regular assessments of internal controls, identifying weaknesses or gaps, and working with relevant teams to develop corrective action plans.
3. Monitor compliance with established internal controls and provide recommendations for improvements as needed.
• Audit and Risk Management:
1. Assist in coordinating internal audits to ensure compliance with financial, operational, and regulatory standards.
2. Help prepare audit documentation and respond to audit inquiries in a timely manner.
3. Monitor and report on audit findings and assist with the implementation of corrective actions.
• Training and Awareness:
1. Deliver training sessions for staff on process improvements, policies, and internal controls to promote a culture of compliance and efficiency.
2. Provide ongoing support and clarification to departments regarding process and policy changes.
• Reporting and Documentation:
1. Prepare and present regular reports on process performance, policy compliance, and internal control assessments to senior management.
2. Maintain accurate records of policies, procedures, and control documentation to ensure traceability and accountability.

We are seeking an experienced Professional to lead our management consulting projects, leveraging their expertise in process improvement principles to drive business transformation and growth.

• Oversee project teams and manage team members, providing coaching and knowledge sharing.
• Develop and implement strategic solutions that address complex client issues and deliver sustainable results.
• Ensure team performance meets expectations, addressing any issues promptly and ensuring goals are met.
• Communicate effectively with clients across all levels of the organization.

• 5+ years of experience in Management Consulting.
• Proven track record of implementing operational change and driving business outcomes.
• Strong command of English is required; native Arabic command is an advantage.
• Advanced Microsoft Office skills (PPT, Excel).
• Excellent time management, analytical, problem-solving, and logical thinking skills.

• Opportunity to work on high-profile projects and develop leadership skills.
• Collaborative and dynamic work environment.
• Professional development opportunities.

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online across the globe, this is your chance to make history. We are looking for a Program Manager to join the Turkish Operations team to help delight our Turkish customers. The position requires an individual who can lead in an often-ambiguous environment. It requires business judgment, relationship management, and analytical thinking to meet project delivery goals. It will require close collaboration with cross-functional teams internally, technical and external partners at all levels up to senior leadership. Key job responsibilities
1- Lead, own and control operations projects/programs roadmap, coordinating internal teams as well as working with external partners/contractors 2- Be responsible for delivering the key metrics, reporting progress, growth and performance of the projects as well as on-time execution and launches 3- Prepare and execute regular program updates to senior management on a weekly and monthly basis. 4- Work very closely with Business, Tech and other teams to design and deploy new solutions while being critical to challenge stakeholders and prioritize projects within Roadmap 5-Demonstrate Operational Excellence, drive continuous improvement and best practices with a focus on outcome for our customers About the team
The TR Ops Integration team drives performance improvement across the TR ops network by rolling out software tools, running and coordinating selected cross-functional projects, and by being the primary Operations liaison with other departments including Amazon Fulfillment Technologies (AFT-x), Customer services (CS), Retail, Vendor Operations, Transportation, Supply Chain and FC Support teams.
BASIC QUALIFICATIONS

- Proven problem solving and analytical skills, ability to analyze numerical data points, work with data to assess situations and take appropriate action
- Experience handling multiple projects and prioritize accordingly
- A proven team player with a hands-on team-oriented attitude;

- Hands-on experience with medium to high complexity SQL queries
- Able to take ownership of work, implement change, and demonstrate a problem solving approach;
- Ability to effectively manage time, and individually prioritize multiple tasks of competing priority Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Posted: January 27, 2025 (Updated 1 day ago)

Posted: May 21, 2025 (Updated about 1 month ago)

Posted: May 13, 2025 (Updated about 1 month ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

The successful candidate will oversee the development and enhancement of manufacturing processes, ensuring alignment with company objectives and market demands.

Key Responsibilities:

1. Collaborate with cross-functional teams to drive manufacturing unit performance.
2. Provide guidance and growth opportunities for team members.
3. Oversee projects to improve processes or systems.
4. Maintain a safe working environment and ensure compliance with safety practices.
5. Develop effective manufacturing strategies within company guidelines.
6. Implement quality management systems to achieve ISO certification.
7. Establish annual financial and manufacturing plans.
8. Support customer reviews and lead initiatives for change.
9. Contribute to key organizational projects through planning and implementation.

Requirements:

• Bachelor's Degree in Engineering, Industrial Technology, or Business Management.
• At least 8 years of leadership experience with 5+ years in PP/LD recycling management.
• Data collection and analysis skills.
• Strong technical background and problem-solving skills.
• Safety certification like NEBOSH is an advantage.

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