What Jobs are available for Data Testing in the United Arab Emirates?

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

Overview

Job Title: Senior QA Engineer – AI Platform Testing

Location: Abu Dhabi (Onsite)

Experience: 7+ Years

Company: NorthBay Solutions

Note: This is a full-time onsite role based in Abu Dhabi, UAE. Candidates must be willing to relocate for long-term client engagements.

About the Role: NorthBay Solutions is looking for a Senior QA Engineer with strong automation skills to support testing efforts across our AI-driven platforms. In this role, you will ensure the functional accuracy, performance, and quality of features while also contributing to validation of AI model outputs, training data quality, and overall user experience across web and API-based systems.

• Design, write, and execute test cases to validate features, APIs, and end-to-end system integrations.

• Develop and maintain automated test scripts using Java-based frameworks (e.g., Selenium, TestNG, or similar).

• Conduct manual and exploratory testing for AI model outputs and user workflows.

• Validate training datasets, detect anomalies, and evaluate model-generated content.

• Log and track defects with comprehensive documentation using bug tracking tools.

• Collaborate closely with Machine Learning, Development, and Automation teams to define test strategies and acceptance criteria.

• Contribute to regression testing cycles and final release validations.

• 7+ years of professional experience in QA or software testing.

• Proven experience in QA automation using Java .

• Solid understanding of Agile methodologies, QA processes, and test lifecycle management.

• Hands-on experience with test management tools (TestRail, Zephyr) and defect tracking tools (JIRA, Azure DevOps).

• Strong experience with API testing tools such as Postman.

• Excellent analytical skills and attention to detail.

• Preferred (Nice to Have):

  • Exposure to AI/ML concepts, particularly around testing LLM outputs, computer vision, or NLP systems.

  • Experience validating training data quality and evaluating model behavior in production environments.

Overview

Job Title: Senior QA Engineer – AI Platform Testing
Location: Abu Dhabi
Experience: 7+ Years
Company: NorthBay Solutions

Note: This is a full-time onsite role based in Abu Dhabi, UAE. Candidates must be willing to relocate for long-term client engagements.

NorthBay Solutions is looking for a Senior QA Engineer with strong automation skills to support testing efforts across our AI-driven platforms. In this role, you will ensure the functional accuracy, performance, and quality of features while also contributing to validation of AI model outputs, training data quality, and overall user experience across web and API-based systems.

• Design, write, and execute test cases to validate features, APIs, and end-to-end system integrations.
• Develop and maintain automated test scripts using Java-based frameworks (e.g., Selenium, TestNG, or similar).
• Conduct manual and exploratory testing for AI model outputs and user workflows.
• Validate training datasets, detect anomalies, and evaluate model-generated content.
• Log and track defects with comprehensive documentation using bug tracking tools.
• Collaborate closely with Machine Learning, Development, and Automation teams to define test strategies and acceptance criteria.
• Contribute to regression testing cycles and final release validations.

• 7+ years of professional experience in QA or software testing.
• Proven experience in QA automation using Java .
• Solid understanding of Agile methodologies, QA processes, and test lifecycle management.
• Hands-on experience with test management tools (TestRail, Zephyr) and defect tracking tools (JIRA, Azure DevOps).
• Strong experience with API testing tools such as Postman.
• Excellent analytical skills and attention to detail.
• Preferred (Nice to Have):
• Exposure to AI/ML concepts, particularly around testing LLM outputs, computer vision, or NLP systems.
• Experience validating training data quality and evaluating model behavior in production environments.

Overview

Job Title: Senior QA Engineer – AI Platform Testing
Location: Abu Dhabi (Onsite)
Experience: 7+ Years
Company: NorthBay Solutions Note: This is a full-time onsite role based in Abu Dhabi, UAE. Candidates must be willing to relocate for long-term client engagements. About the Role

NorthBay Solutions is looking for a Senior QA Engineer with strong automation skills to support testing efforts across our AI-driven platforms. In this role, you will ensure the functional accuracy, performance, and quality of features while also contributing to validation of AI model outputs, training data quality, and overall user experience across web and API-based systems.

• Design, write, and execute test cases to validate features, APIs, and end-to-end system integrations.
• Develop and maintain automated test scripts using Java-based frameworks (e.g., Selenium, TestNG, or similar).
• Conduct manual and exploratory testing for AI model outputs and user workflows.
• Validate training datasets, detect anomalies, and evaluate model-generated content.
• Log and track defects with comprehensive documentation using bug tracking tools.
• Collaborate closely with Machine Learning, Development, and Automation teams to define test strategies and acceptance criteria.
• Contribute to regression testing cycles and final release validations.

• 7+ years of professional experience in QA or software testing.
• Proven experience in QA automation using Java .
• Solid understanding of Agile methodologies, QA processes, and test lifecycle management.
• Hands-on experience with test management tools (TestRail, Zephyr) and defect tracking tools (JIRA, Azure DevOps).
• Strong experience with API testing tools such as Postman.
• Excellent analytical skills and attention to detail.
• Preferred (Nice to Have):
  • Exposure to AI/ML concepts, particularly around testing LLM outputs, computer vision, or NLP systems.
  • Experience validating training data quality and evaluating model behavior in production environments.

Overview

Job Title: Senior QA Engineer – AI Platform Testing. Location: Abu Dhabi. Experience: 7+ Years. Company: NorthBay Solutions.

Note: This is a full-time onsite role based in Abu Dhabi, UAE. Candidates must be willing to relocate for long-term client engagements.

NorthBay Solutions is looking for a Senior QA Engineer with strong automation skills to support testing efforts across our AI-driven platforms. In this role, you will ensure the functional accuracy, performance, and quality of features while also contributing to validation of AI model outputs, training data quality, and overall user experience across web and API-based systems.

• Design, write, and execute test cases to validate features, APIs, and end-to-end system integrations.


• Develop and maintain automated test scripts using Java-based frameworks (e.g., Selenium, TestNG, or similar).


• Conduct manual and exploratory testing for AI model outputs and user workflows.


• Validate training datasets, detect anomalies, and evaluate model-generated content.


• Log and track defects with comprehensive documentation using bug tracking tools.


• Collaborate closely with Machine Learning, Development, and Automation teams to define test strategies and acceptance criteria.


• Contribute to regression testing cycles and final release validations.

• 7+ years of professional experience in QA or software testing.


• Proven experience in QA automation using Java.


• Solid understanding of Agile methodologies, QA processes, and test lifecycle management.


• Hands-on experience with test management tools (TestRail, Zephyr) and defect tracking tools (JIRA, Azure DevOps).


• Strong experience with API testing tools such as Postman.


• Excellent analytical skills and attention to detail.

• Exposure to AI/ML concepts, particularly around testing LLM outputs, computer vision, or NLP systems.


• Experience validating training data quality and evaluating model behavior in production environments.

Overview

Job Title: Business Data Analyst (Banking) - Digital Transformation

Job Type: Full-Time Contract (1 year, renewable)

Location: On-site, Dubai, Dubai, United Arab Emirates

Job Summary:

Join our team as a Business Data Analyst at the forefront of digital transformation within a leading UAE bank. In this pivotal role, you will bridge business stakeholders and technology teams, applying deep analytical expertise to drive insights, optimize processes, and elevate customer journeys across key digital banking initiatives. Embrace an asynchronous work culture that values exceptional written communication and proactive problem-solving.

• Elicit, analyze, and document business requirements, user stories, and process flows for digital projects.
• Act as a key liaison between business units and technical teams to ensure clear understanding of project objectives.
• Conduct gap analysis and impact assessments for new features and system changes within core banking functions.
• Participate in Agile/Scrum ceremonies, including sprint planning, backlog grooming, and daily stand-ups.
• Design and execute test scenarios, supporting user acceptance testing (UAT) and solution validation.
• Write complex SQL queries to extract and analyze large datasets, generating actionable insights and KPI reports with Power BI.
• Translate analytical findings into clear, data-driven recommendations and presentations for diverse stakeholders.

• Bachelor’s degree in Computer Science, Engineering, Finance, Business, or a quantitative discipline.
• 5-9 years’ experience as a Business Analyst, with a strong background in Banking, Financial Services, or FinTech.
• High proficiency in SQL and PL/SQL, with hands-on experience in Power BI for data visualization.
• Proven experience working with core-banking systems and exposure to digital transformation projects.
• Solid understanding of Agile methodologies (Scrum, Kanban) and expertise with JIRA.
• Exceptional written communication skills, adept at working in asynchronous, collaborative environments.
• Strong analytical and critical thinking abilities with excellent stakeholder management.

• Relevant professional certifications (CBAP, PMI-PBA, Agile Scrum, Data Analytics).
• Experience with data modeling, Python or R for advanced analytics, and systems like Flexcube or OFSAA.
• Expertise in digital banking products, customer journey mapping, and process optimization.

Become part of our team and contribute to high-impact initiatives, working on projects that set industry standards and drive meaningful change. We foster an inclusive, high-performing culture offering career development opportunities, comprehensive benefits, and a collaborative environment to help you thrive.

We are hiring a Node.js Software Engineer – Testing for one of the leading banks in the UAE, offering an exciting opportunity to work on scalable, enterprise-grade applications within a fast-paced Agile environment.

Education:

• Bachelor's or Postgraduate degree in Computer Science or a related field (or equivalent industry experience)

• Minimum of 5 years of experience in JavaScript with a strong focus on automation testing
• At least 1 year of hands-on experience with TypeScript
• Solid experience in Automation Testing Techniques and Tools such as:
• Playwright
• Cucumber
• Appium
• Selenium

• Proven expertise in developing and testing scalable, highly available RESTful APIs and microservices using JavaScript technologies
• Ability to create end-to-end automation test suites using Playwright/Selenium , preferably following the BDD approach
• Practical experience with GraphQL
• Familiarity with CI/CD principles and hands-on troubleshooting in distributed services
• Working knowledge of containerization using Docker and Kubernetes
• Exposure to API Gateway integrations (e.g., 3Scale)
• Understanding of Single Sign-On (SSO) and token-based authentication (e.g., REST, JWT, OAuth)
• Experience with task/message queues such as AWS SQS , Microsoft Azure Service Bus , Pushpin , or Kafka

• Follows best practices in coding , unit testing , security , and documentation
• Experience working in Agile development environments
• Strong ability to research and benchmark tools and technologies against industry standards

• Ability to influence cross-functional teams on technical decisions, enhancing productivity through deep technical knowledge
• A self-starter who can take ownership and drive results without direct supervision
• Strong interpersonal and communication skills , capable of presenting ideas to senior and executive management

We are hiring a Node.js Software Engineer – Testing for one of the leading banks in the UAE, offering an exciting opportunity to work on scalable, enterprise-grade applications within a fast-paced Agile environment.

Education:

• Bachelor's or Postgraduate degree in Computer Science or a related field (or equivalent industry experience)

• Minimum of 5 years of experience in JavaScript with a strong focus on automation testing
• At least 1 year of hands-on experience with TypeScript
• Solid experience in Automation Testing Techniques and Tools such as:
• Playwright
• Cucumber
• Appium
• Selenium

• Proven expertise in developing and testing scalable, highly available RESTful APIs and microservices using JavaScript technologies
• Ability to create end-to-end automation test suites using Playwright/Selenium , preferably following the BDD approach
• Practical experience with GraphQL
• Familiarity with CI/CD principles and hands-on troubleshooting in distributed services
• Working knowledge of containerization using Docker and Kubernetes
• Exposure to API Gateway integrations (e.g., 3Scale)
• Understanding of Single Sign-On (SSO) and token-based authentication (e.g., REST, JWT, OAuth)
• Experience with task/message queues such as AWS SQS , Microsoft Azure Service Bus , Pushpin , or Kafka

• Follows best practices in coding , unit testing , security , and documentation
• Experience working in Agile development environments
• Strong ability to research and benchmark tools and technologies against industry standards

• Ability to influence cross-functional teams on technical decisions, enhancing productivity through deep technical knowledge
• A self-starter who can take ownership and drive results without direct supervision
• Strong interpersonal and communication skills , capable of presenting ideas to senior and executive management