15 Monitoring Performance Metrics jobs in Dubai

Dynamic organisation dedicated to driving innovation and excellence internally and externally. They are currently undergoing a transformation, while helping other entities with their evolution, which will leave a lasting and positive impact.

• Design and lead corporate performance management frameworks.
• Ensure strategic alignment across departments and initiatives.
• Collaborate with senior government stakeholders to drive performance outcomes.
• Monitor KPIs and deliver actionable insights to executive leadership.
• Oversee performance reporting and continuous improvement efforts.
• Benchmark performance against global best practices.
• Support strategic planning and policy development through performance data.

• UAE National with a minimum of 10 years' relevant professional experience.
• Proven expertise in Corporate Performance Management.
• Strong stakeholder management skills, particularly with senior government figures.
• Background in government, semi-government, or consulting environments.
• Consulting experience is desirable.

Dynamic organisation dedicated to driving innovation and excellence internally and externally. They are currently undergoing a transformation, while helping other entities with their evolution, which will leave a lasting and positive impact.

• Design and lead corporate performance management frameworks.
• Ensure strategic alignment across departments and initiatives.
• Collaborate with senior government stakeholders to drive performance outcomes.
• Monitor KPIs and deliver actionable insights to executive leadership.
• Oversee performance reporting and continuous improvement efforts.
• Benchmark performance against global best practices.
• Support strategic planning and policy development through performance data.
• UAE National with a minimum of 10 years' relevant professional experience.
• Proven expertise in Corporate Performance Management.
• Strong stakeholder management skills, particularly with senior government figures.
• Background in government, semi-government, or consulting environments.
• Consulting experience is desirable.
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SAP PaPM consultants specialize in optimizing profitability and performance management models, focusing on implementation and reporting solutions.

• Hands-on experience in configuring, customizing, and optimizing SAP PaPM models, particularly in route profitability, cost allocation, and financial reporting.
• Proven expertise in SAP S/4HANA and integration of SAP PaPM with other SAP modules.
• Data modeling, data integration, and reporting skills within the SAP ecosystem.
• Proficiency in using embedded analytics, Fiori apps, and reporting tools to deliver business insights.

• SAP PaPM (Profitability and Performance Management)
• SAP S/4HANA
• Data Integration
• Embedded Analytics
• Fiori Apps

This is a mid-senior level position that requires hands-on experience in SAP PaPM configuration and customization.

A successful candidate will have a strong background in IT and experience working with SAP systems.

This role is ideal for professionals looking to advance their careers in the field of SAP PaPM.

Role Overview

The Asset Performance Management (APM) business is expanding within Grid Solutions, enabling utilities and grid operators to transition from time-based to condition-based maintenance through digital solutions. We are seeking an experienced professional to drive growth in APM and Digital Services within the MENAT and SSA region.

• Achieve sales targets and business development growth for Asset Performance Management and digital solutions.
• Develop business opportunities and conduct campaigns to win Digital Services focused on the Asset Performance Management business.
• Promote and develop APM business with utilities and industrial customers of the region.
• Leverage GE Grid Solutions' experience and capabilities to increase the Digital Services pipeline.
• Negotiate and close complex deals in alignment with direct sales staff.

About You

• Over 10 years of SW/electrical expertise and experience in business.
• More than 10 years of experience in sales and business development in the MENAT and SSA region.
• Strong background in Grid Automation Digital and Grid Services business.
• Experience in a similar position with a network in this sector.
• Bachelor's degree in a relevant field; engineering background is an advantage.

What We Offer

• Autonomous work environment with opportunities for growth and development.
• Hands-on profile to take part in cost estimations and support deal-winning efforts.

Purpose

This role will be responsible for ensuring strong governance across IT, including:

1. The development and management of IT/technology policies, aligned with best practices and considering IHS's business context.
2. Establishing and reporting on IT performance metrics, identifying areas for improvement.
3. Supporting strategy and operational model development, and establishing IT ways of working.
4. Providing oversight over key IT processes to ensure clarity of objectives, roles, activities, and deliverables.

Key Roles & Responsibilities

Enforce Governance and Standards

1. Develop, maintain, and ensure compliance with relevant IT standards, policies, procedures, and artifacts.
2. Implement an IT Governance framework aligned with leading practices such as COBIT 2019, ITIL, ISO 2000, ISO 9001, ISO 22301, and ISO 27001.
3. Define, communicate, and monitor IT governance performance metrics and risk indicators.
4. Develop and periodically review IT policies, plans, and procedures to ensure compliance and organizational effectiveness.
5. Stay updated with regulations and continuously update company policies accordingly.
6. Design and document IT processes in collaboration with process owners, aligned with best practices and business context.

Business-IT Alignment

1. Support in creating and monitoring the IT strategy and roadmap, incorporating input from IT leadership to support group strategies.
2. Assess and improve the effectiveness of the IT governance framework regularly.

IT Project Risks Management

1. Oversee project and risk activities to provide responsive reporting and support informed decision-making.

Coordination of Governance Body Activities

1. Coordinate activities and deliverables of governance committees.

Business Reporting

1. Prepare accurate and clear reports and dashboards for management committees, including KPIs, KRIs, SLAs, and project portfolios.

Others

• Willingness to travel as needed.
• Perform other tasks as assigned by the Associate Director IT GRC.

Qualifications :

Job-Specific Competencies

• Proven experience implementing IT frameworks such as COBIT, ISO, and ITIL.
• Minimum of 10 years in IT governance or risk roles.
• Experience working across cultures and time zones.
• Strong understanding of business process improvement methodologies like CMMI, Six Sigma, BPM, Agile.
• Excellent analytical and problem-solving skills with a data-driven approach.
• Ability to work collaboratively across functions.
• Excellent communication, presentation, and interpersonal skills.

Qualifications & Experience Required

• A degree in information technology or related fields.
• Relevant certifications such as CISA, CRISC, CGEIT, ITIL, ISO 9000, ISO 27001.
• Deep understanding of IT GRC principles, techniques, and protocols.

Knowledge, Skills, and Abilities

Knowledge

• Best practice standards and frameworks (COBIT, ISO, ITIL) and their pragmatic application within IHS.
• Key governance and IT process principles.
• IT infrastructure and applications, including hardware, software, networks, OS, and various applications (cloud, on-premise).
• Emerging technologies like AI, cloud computing, APIs, data analytics, and their governance and risk implications.

Skills

• Excellent written and verbal communication skills.
• Strong interpersonal skills to foster collaboration across departments.

Abilities

• Attention to detail.
• Pragmatic, able to manage vertically and horizontally.
• Able to travel to locations where IHS operates.

Job Title: Data Expert

At our organization, we are seeking a talented Data Expert to join our team. As a key member of our data science team, you will play a vital role in helping us make informed decisions by leveraging data insights and analysis.

Key Responsibilities:

• Design and implement advanced statistical models to analyze complex data sets.
• Develop and maintain databases to store and manage large datasets.
• Collaborate with cross-functional teams to identify business needs and develop solutions.
• Communicate findings and insights effectively to both technical and non-technical stakeholders through reports, presentations, and visualizations.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies.

Required Skills and Qualifications:

• Bachelor's degree in statistics, applied mathematics, or related discipline.
• Minimum of 4-6 years of experience in a similar role.
• Proficiency with data mining, mathematics, and statistical analysis.
• Advanced pattern recognition and predictive modeling experience.
• Experience with Excel, Tableau/Looker Studio, SQL, and programming languages such as Python and R.
• Storytelling and data visualization skills.
• Comfort working in a dynamic, data-oriented team with several ongoing concurrent projects.

Preferred Qualifications:

• Master's degree in stats, applied math, or related discipline.
• Experience with NoSQL, Pig, Hive, and PySpark/Big Query.

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