19 Monitoring Performance jobs in the United Arab Emirates

Overall objectives

To ensure end-to-end visibility of application health performance and user experience across critical business services.

To implement and manage modern APM tools that support real-time insights transaction tracing and deep diagnostics of application behaviour.

To support performance engineering incident prevention and rapid root cause analysis of application-related issues.

To partner with DevOps development and infrastructure teams in creating a performance-centric culture backed by actionable telemetry.

Role specific responsibilities

Implement configure and manage enterprise-grade APM tools across the application landscape.

Build dashboards alert policies and SLA-based thresholds for business-critical applications.

Enable distributed tracing and service maps to visualise and diagnose performance across complex dependencies.

Collaborate with application owners and development teams to address recurring issues and improve code-level performance.

Ensure seamless integration of APM tools with CI/CD pipelines and incident response workflows.

Lead performance monitoring efforts during major application releases or seasonal peak loads.

Conduct APM health checks and ensure consistent telemetry coverage across environments (dev test prod).

General functional responsibilities

Maintain monitoring standards and documentation including runbooks dashboards and escalation guides.

Assist in defining and tracking service-level objectives (SLOs) and service-level agreements (SLAs).

Contribute to post-incident reviews and performance retrospectives to enhance visibility and reduce MTTR.

Support automation of alert routing event correlation and ticket enrichment using observability data.

Keep abreast of trends in application monitoring including OpenTelemetry adoption and AI-powered diagnostics.

Support out-of-hours performance troubleshooting during P1/P2 incidents as part of a rotating schedule.

Qualifications :

Core competencies required

In-depth experience with leading APM platforms such as Dynatrace AppDynamics New Relic Instana or Datadog APM.

Strong understanding of distributed applications microservices container orchestration (Kubernetes) and service mesh technologies.

Skilled in analysing transaction traces identifying bottlenecks and pinpointing slow database calls or code-level inefficiencies.

Proficient in synthetic monitoring real user monitoring (RUM) and load testing techniques.

Familiarity with telemetry pipelines correlation of metrics/logs/traces and service-level indicators (SLIs).

Capability to use data to produce baselines detect anomalies and support proactive performance tuning.

Remote Work :

No

Employment Type :

Full-time

Join to apply for the Solution Manager and Performance Monitoring Specialist (SAP) role at Dicetek LLC.

The SAP Solution Manager and Performance Specialist is responsible for ensuring the optimal performance, efficiency, and reliability of SAP systems across an organization. This role involves monitoring, analyzing, and troubleshooting SAP application performance, databases, and infrastructure to proactively identify and resolve performance issues.

• Minimum of 10-12 years of experience working with SAP Solution Manager.
• Hands-on experience with SAP Solution Manager 7.2, Cloud ALM, and Tricentis Tosca Integration.
• Proven expertise in C-ALM and SAP Solution Manager setup, configuration, and administration.
• Experience with at least one SAP Solution Manager upgrade.
• Ability to manage multiple tasks and projects simultaneously.

SAP certification in Solution Manager is a plus.

• 10+ years of relevant work experience.

Knowledge of Solution Manager 7.2, Cloud ALM configuration and setup.

• ABAP knowledge.
• Manage different artefacts such as Defect Tracker, Traceability Matrix, Test Reports, etc.

Arabic speaker required.

Not Applicable

Contract

Information Technology

IT Services and IT Consulting

Referrals increase your chances of interviewing at Dicetek LLC by 2x.

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.

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

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.

We are seeking a skilled professional to lead our data analysis team. As a Lead Data Analyst, you will be responsible for overseeing a team of analysts and collaborating with developers and stakeholders to ensure software meets business needs.

• Manage a team of data analysts
• Create data marts and data lakes using mappings
• Design user interfaces and dashboards for data visualization and interaction
• Test and validate software and data products for accuracy and reliability

• Bachelor's or master's degree in Computer Science, IT, or related field
• Experience with data processing and analysis using Data Bricks
• Expert-level proficiency in SQL, Python, SAS/R, Spark
• Deployment experience in databases, server/cloud environments (AWS, Azure), APIs, ODBCs, web apps

• Career Growth: Opportunities for professional development and advancement
• Performance-Based Compensation: Competitive pay linked to performance
• Inclusive Culture: Join a collaborative team that values innovation and every voice

This is an exciting opportunity to work with a talented team and contribute to our success.

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

We are seeking a seasoned Performance Manager to lead the development and implementation of a performance management framework across the organization. This role is ideal for a forward-thinking professional with experience in designing and implementing performance systems from scratch.

• Develop and implement a company-wide performance management system aligned with business objectives
• Design and build a scalable framework that integrates OKRs, KPIs, and competency models
• Collaborate with leadership to define success profiles for key roles and develop structured feedback and review cycles
• Support organizational design efforts by identifying skills gaps and advising on team structure and role clarity

To succeed in this role, you will need:

• Proven experience in HR or People Operations, with a focus on performance management frameworks
• Strong understanding of OKRs, KPIs, competency models, 9-box grids, and bonus design strategies
• Excellent analytical and problem-solving skills, with the ability to think critically and creatively
• Effective communication and stakeholder management skills, with the ability to influence leadership

We offer:

• A dynamic and fast-paced work environment
• Opportunities for professional growth and self-realization
• Flexible remote work arrangements
• Competitive compensation and benefits package

Mid-Senior level

Full-time

Research, Analyst, and Information Technology

We are seeking a highly experienced project leader to oversee the pre-construction, FEED, and execution phases of a major Oil Storage Terminal project in Abu Dhabi.