What Jobs are available for System Analysis in the United Arab Emirates?
Showing 8 System Analysis jobs in the United Arab Emirates
Course: Effective Business Decisions Using Data Analysis
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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.
This course will feature:- 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.
The Course Content- 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
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Business Analysis and Data Analyst
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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.
Key Responsibilities- 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.
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System Analyst - BP&A | Retail
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Overview Of The Role:
As a Business Data Analyst in the retail division of Al Futtaim Group, you will drive data-informed decision-making by leveraging your analytical and technical expertise. You will be responsible for enhancing reporting and forecasting accuracy through innovative AI and automation techniques, thus supporting strategic decisions and performance improvements in collaboration with various stakeholders. Your role will involve managing large datasets, developing insightful dashboards, and continuously seeking opportunities to integrate emerging technologies into our analytics practices.
What You Will Do:Data Collection and Analysis
- Collect, clean, and analyze large datasets from multiple business systems including ERP, CRM, and digital sources.
- Ensure data quality, consistency, and adherence to governance standards.
Dashboard and Reporting
- Design and maintain dashboards and reports using BI tools to track KPIs and highlight trends.
- Automate reporting and commentary generation using LLMs and Gen AI tools.
- Enable self-service analytics capabilities for business users.
Collaboration and Insights
- Partner with finance and business stakeholders to translate data into actionable insights.
- Present findings and recommendations clearly to both technical and non-technical audiences.
Innovation and Tool Evaluation
- Continuously evaluate new tools, technologies, and methodologies to enhance analytics maturity.
- Explore and apply AI, automation, and LLMs to improve reporting, forecasting, and business insights.
What you will need:
- Proficiency in SQL and BI tools for data manipulation and visualization.
- Excellent communication skills, effectively translating technical analysis into business insights.
- Experience with AI/ML frameworks and applications, particularly in predictive analytics and LLMs.
- Minimum 4 years of experience in business/data analysis or consulting with advanced analytics application.
- Proficiency in SQL, BI tools like Power BI/Tableau, and advanced Excel capabilities.
- Familiarity with ERP/CRM systems and AI/LLM tools in a business context.
We’re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish.
Before you click “apply”: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence.
As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.
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System Analyst - BP&A | Retail
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Established in the 1930s as a trading business, Al‑Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al‑Futtaim Group partners with over 200 of the world’s most admired and innovative brands. Al‑Futtaim Group’s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
By upholding our values of respect, excellence, collaboration and integrity; Al‑Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.
Overview Of The RoleAs a Business Data Analyst in the retail division of Al Futtaim Group, you will drive data-informed decision‑making by leveraging your analytical and technical expertise. You will be responsible for enhancing reporting and forecasting accuracy through innovative AI and automation techniques, thus supporting strategic decisions and performance improvements in collaboration with various stakeholders. Your role will involve managing large datasets, developing insightful dashboards, and continuously seeking opportunities to integrate emerging technologies into our analytics practices.
What You Will Do Data Collection and Analysis- Collect, clean, and analyze large datasets from multiple business systems including ERP, CRM, and digital sources.
- Ensure data quality, consistency, and adherence to governance standards.
- Design and maintain dashboards and reports using BI tools to track KPIs and highlight trends.
- Automate reporting and commentary generation using LLMs and Gen AI tools.
- Enable self‑service analytics capabilities for business users.
- Partner with finance and business stakeholders to translate data into actionable insights.
- Present findings and recommendations clearly to both technical and non‑technical audiences.
- Continuously evaluate new tools, technologies, and methodologies to enhance analytics maturity.
- Explore and apply AI, automation, and LLMs to improve reporting, forecasting, and business insights.
- Proficiency in SQL and BI tools for data manipulation and visualization.
- Excellent communication skills, effectively translating technical analysis into business insights.
- Experience with AI/ML frameworks and applications, particularly in predictive analytics and LLMs.
- Minimum 4 years of experience in business/data analysis or consulting with advanced analytics application.
- Proficiency in SQL, BI tools like Power BI/Tableau, and advanced Excel capabilities.
- Familiarity with ERP/CRM systems and AI/LLM tools in a business context.
We’re here to provide excellent service but a little help from you can ensure a five‑star candidate experience from start to finish.
Before you click “apply”: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well‑crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence.
As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.
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Course: Professional Business System Analyst
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Business systems analysis is the discovering, analysing, modeling and specification of the logical requirements of a business in order to design and build effective business solutions.
Business systems analysis requires specialised knowledge and skills. The process of identifying and defining business requirements is very different from applying technology to address business requirements.
Participants will gain knowledge of the best techniques and methods for gathering requirements from users and other stakeholders; develop business and data models that describe these requirements and write detailed specifications that provide an accurate blueprint for the designing, building and testing of the proposed system. They will also learn how business systems analysis techniques can be related and integrated using the Architecture Framework to ensure that all the requirements are comprehensively described and correctly defined.
Objectives- This seminar aims to enable participants to achieve the following objectives:
- Understand the role of the business systems analyst
- Understand the Systems Development Life Cycle (SDLC)
- Define the system scope
- Identify system stakeholders
- Create a business case
- Understand and apply The Architecture Framework
- Model the business across all its dimensions: data, activities, locations, people, time and motivation
- Apply information gathering techniques
- Define functional and non-functional business requirements
- Write a business requirements specification
State-of-the-art business systems analysis methods and techniques are transferred by means of short, focused presentations which are followed by experiential learning workshop sessions. In these sessions the knowledge gained is applied to real-world examples and case studies. Rapid learning of the methods and techniques is achieved by means of group work, individual work, participant discussion, facilitator interaction and constructive feedback.
Organisational Impact- Improved integration between the business and the information technology department of the organisation
- The correct fit between the requirements of the organisation and information systems that are developed or procured
- Reduced information technology development risk, costs and time overruns
- Improved quality of information technology projects
- Be able to work effectively in a systems development project
- Have the ability to confidently elicit business requirements from business users and other stakeholders
- Be able to identify the essential requirements of the business
- Effectively communicate business requirements to stakeholders
- DAY 1 :Introduction to Business Systems Analysis
- The role of the business systems analyst
- The Systems Development Life Cycle (SDLC)
- The business systems analysis process
- Identifying system users and other stakeholders
- Defining the system scope
- Creating a business case
- DAY 2 :Modeling the Business
- An introduction to modeling concepts
- The Architecture Framework
- Modeling data requirements
- Business process modeling for business systems analysis
- DAY 3 :Modeling the Business (Continued)
- Writing and modeling use cases
- Modeling the location dimension
- Modeling organisations, people and roles
- Analysing business and time events
- Discovering and documenting business rules
- DAY 4 :Gathering Information
- Communication for business systems analysts
- Interviewing methods
- Using questionnaires
- Document analysis and observation
- Workshop facilitation using Joint Application Design (JAD) techniques
- Eliciting and capturing requirements in workshops
- DAY 5 :Preparing a Business Requirements Specification
- Functional and non-functional requirements
- Writing effective requirements
- Validating requirements
- The content of a business requirements specification
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Course: Professional Business System Analyst
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Job Description
Artificial Intelligence ,Data Analysis and Digital Transformation Training Course
Course:Professional Business System Analyst
Business systems analysis is the discovering, analysing, modeling and specification of the logical requirements of a business in order to design and build effective business solutions.
Business systems analysis requires specialised knowledge and skills. The process of identifying and defining business requirements is very different from applying technology to address business requirements.
Participants will gain knowledge of the best techniques and methods for gathering requirements from users and other stakeholders; develop business and data models that describe these requirements and write detailed specifications that provide an accurate blueprint for the designing, building and testing of the proposed system. They will also learn how business systems analysis techniques can be related and integrated using the Architecture Framework to ensure that all the requirements are comprehensively described and correctly defined.
ObjectivesThis seminar aims to enable participants to achieve the following objectives:
- Understand the role of the business systems analyst
- Understand the Systems Development Life Cycle (SDLC)
- Define the system scope
- Identify system stakeholders
- Create a business case
- Understand and apply The Architecture Framework
- Model the business across all its dimensions: data, activities, locations, people, time and motivation
- Apply information gathering techniques
- Define functional and non-functional business requirements
- Write a business requirements specification
State-of-the-art business systems analysis methods and techniques are transferred by means of short, focused presentations which are followed by experiential learning workshop sessions. In these sessions the knowledge gained is applied to real-world examples and case studies. Rapid learning of the methods and techniques is achieved by means of group work, individual work, participant discussion, facilitator interaction and constructive feedback.
Organisational Impact- Improved integration between the business and the information technology department of the organisation
- The correct fit between the requirements of the organisation and information systems that are developed or procured
- Reduced information technology development risk, costs and time overruns
- Improved quality of information technology projects
- Be able to work effectively in a systems development project
- Have the ability to confidently elicit business requirements from business users and other stakeholders
- Be able to identify the essential requirements of the business
- Effectively communicate business requirements to stakeholders
DAY 1 :Introduction to Business Systems Analysis
- The role of the business systems analyst
- The Systems Development Life Cycle (SDLC)
- The business systems analysis process
- Identifying system users and other stakeholders
- Defining the system scope
- Creating a business case
DAY 2 :Modeling the Business
- An introduction to modeling concepts
- The Architecture Framework
- Business process modeling for business systems analysis
DAY 3 :Modeling the Business (Continued)
- Writing and modeling use cases
- Modeling the location dimension
- Modeling organisations, people and roles
- Analysing business and time events
- Discovering and documenting business rules
DAY 4 :Gathering Information
- Communication for business systems analysts
- Interviewing methods
- Document analysis and observation
- Eliciting and capturing requirements in workshops
DAY 5 :Preparing a Business Requirements Specification
- Functional and non-functional requirements
- Writing effective requirements
- Validating requirements
- The content of a business requirements specification
Executive Dashboarding and Reporting with Power BI
AI-Powered Logistics: Optimizing Supply Chain Operations
AI-Driven Logistics: Enhancing Supply Chain Efficiency
Digital Transformation in the Financial Industry
Artificial Intelligence (AI) in Procurement and Supply Chain Management
Effective Business Decisions Using Data Analysis
Business Data Collection, Analysis and Presentation
At European Quality Training and Management Consultancy, we provide high-quality training and consultancy services to develop future leaders. With a team of skilled experts, we tailor programs to meet the needs of public and private sectors, grounded in quality, ethics, and social responsibility. Our client-focused approach ensures professionalism and sustainable outcomes.
European Quality Training and Management Consultancy FZE
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Analyst - System Access Control, Sharjah
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Posted On 09 Jun, 2025
Type: Information Technology
Category: Information Technology
Job Purpose:
- Execute approved automated and manual identity provisioning and de-provisioning for packaged developed applications.
- Manage user access for new joiners, transfers/modifications, de-provisioning procedures, and third-party access.
- Implement access-related actions resulting from information security reviews within stipulated timelines.
- Maintain documentation and evidence of access requests.
- Fulfill audit access requests within stipulated timelines.
- Conduct user acceptance testing activities such as user creation, modification, role creation, and report validation.
Key Accountabilities:
- Ensure all access activities are conducted based on formal approval.
- Complete approved access activities within stipulated periods.
- Update user profiles according to official communication from Information Security User Access Reviews.
- Respond to audit requests within the stipulated time frame.
- Maintain access lists and profiles as part of UAT involvement.
Qualifications, Experience & Skills:
- Bachelor's degree in Business Information Technology, Computer Sciences, or related field.
- Minimum of 3-5 years of relevant IT domain and information security experience.
Sharjah Islamic Bank (SIB) has been serving society since 1975, providing banking services to individuals and companies. Established by an Amiri decree issued by His Highness Dr. Sheikh Sultan Bin Mohamed Al Qassimi, a member of the Supreme Council & Ruler of Sharjah, the bank was originally founded as the National Bank of Sharjah and became the first bank to convert to Islamic banking in 2002.
The transition from commercial banking to Islamic banking was a significant milestone for the bank. It involved developing specialized products and services for customers and converting the entire organization to comply with Islamic regulations. Today, SIB offers a broad range of Sharia'a-compliant retail, corporate, and investment services across the UAE.
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Senior Business Analysis - Dubai, United Arab Emirates
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The Senior Business Analyst leads a team to undertake the review and analysis of the organisation’s business intentions, services, processes and information needs to identify changes that lead to business improvements.
Department: Project Management
Compensation: AED 21,667 P/M
Responsibilities- Enhance business systems by providing accurate information about business needs and priorities.
- Analyse and consolidate information to develop business cases to support achievement of business objectives.
- Extract data reports and review information to identify trends, system pain points and opportunities for business improvement across the business.
- Provide plain language advice on technical issues to non-technical audiences.
- Work with key stakeholders to identify how changing business requirements may be delivered with existing solutions.
- Coordinate process improvement test cases, liaising with DSG and client business units, evaluating and reporting on potential process improvement initiatives and instituting systems changes.
- Develop and use information material such as process descriptions, checklists, templates and guides to assist staff with implementing defined processes.
- Guide and support team members to provide customer-focused services.
- A bachelor’s or master’s degree in computer science or a related field is a good starting point for this position.
- Escalate issues, keep informed, advise and receive feedback.
- Inspire and motivate team, provide direction and manage performance.
- Mentor, lead and support the team and share information and research.
- Ensure consistent and coordinated customer services through teamwork and collaboration.
- Resolve issues and provide solutions to problems.
- Provide information regarding agency sector-wide rules and standards.
- Represent the organisation in an honest, ethical and professional way and encourage others to do so.
- Demonstrate professionalism to support a culture of integrity within the team/unit.
- Ensure that others understand the legislation and policy framework within which they operate and act to prevent and report misconduct, illegal and inappropriate behaviour.
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