What Jobs are available for Engineering Analyst in the United Arab Emirates?

Who we are:

GMG is a global well-being company retailing, distributing, and manufacturing a portfolio of leading international and home-grown brands across sport, everyday goods, health and beauty, properties, and logistics sectors. Under the ownership and management of the Baker family for over 45 years, GMG is a valued partner of choice for the world's most successful and respected brands in the well-being sector. Working across the Middle East, North Africa, and Asia, GMG has introduced more than 120 brands across 12 countries. These include notable home-grown brands such as Sun & Sand Sports, Dropkick, Supercare Pharmacy, Farm Fresh, Klassic, and international brands like Nike, Columbia, Converse, Timberland, Vans, Mama Sita's, and McCain.

What you'll be doing:

The BPI Assistant Manager for Process, Policies, and Internal Controls will be instrumental in supporting the design, implementation, and monitoring of efficient processes, policies, and internal controls throughout the organization. The ideal candidate will possess strong expertise in process optimization, compliance, and risk management, with a proven ability to collaborate effectively across business units within GMG. This role requires a highly motivated individual and a change leader who is passionate about driving digital transformation and enhancing operational efficiency while ensuring policy compliance and mitigating risks.

Core Responsibilities:

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

Functional/Technical Competencies:

• Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint) and experience with process mapping tools or ERP systems (e.g., SAP) is a plus.
• Understanding of regulatory requirements, industry standards, and best practices related to internal controls and process management.
• Must have Business Process Re-engineering experience in Retail, Pharma Manufacturing, and/or FMCG sectors.
• Prefer hands-on process optimization experience in relevant Business Units / functions.
• Implementation of Automation / RPA techniques.

Educational Qualification:

• Bachelor’s degree in business administration, Finance, Accounting, or a related field.
• Relevant certifications (e.g., CPA, CIA, CISA, Six Sigma Green/Black belt) are a plus.

Why Join GMG?

At GMG, we're dedicated to nurturing a vibrant, inclusive, and engaging work environment that promotes growth, innovation, and well-being. Join us in our mission to inspire victories that make the world better – for our team, our consumers, and our communities.

If you're seeking a challenging role where you can make a significant impact, we'd love to hear from you. Apply today to become a part of our journey.

What we offer:

• An opportunity to become part of diverse teams with international exposure
• Comprehensive family medical insurance
• Family residency sponsorship and flight allowances
• Up to 30% discount in our premium retail sports brand stores
• Up to 20% discount in our pharmacy chain

JOB SUMMARY:

Provides all support activities to PreSales; handles all preparatory and scheduling activities for projects execution. Responsible for all sourcing and procurement activities for the different projects. Provides reporting on projects progress.

KEY RESULTS AREAS (RESPONSIBILITIES):

• Support sales through preparing sales quotes and bids; receives PO from clients to log and commence project tracking
• Operational planning for deploying all required manpower for the execution of jobs. Provides instruction on project scope, timelines, locations and all relevant details.
• Arrange site visits before commencement of the job.
• Prepare the BOQ for issuance to project team for installation at site; Also prepares BoQ's for variation orders and maintenance contracts
• Monitors progress of the project in collaboration with the Engineer in Charge; this normally covers progress of work, manpower usage and cost, material usage and cost
• Actual sourcing and procurement activities for the project covering technical and non-technical material for the project.
• Handles logistics - Coordination with the freight forwarder and supplier in receiving and dispatching of materials. Prepares all the documentation for import/export.
• Coordinates with necessary work permits associated to the project.
• Prepares final documentation for final hand over and completion certificates

EDUCATION

• Bachelor or Diploma of Engineering in Electrical or Electronics or Computers or IT or equivalent.
• Project Management skills are preferred; certification will be an asset.

WORK EXPERIENCE

• Minimum 2 years experience in project management or coordination in security services or similar industry
• Must have prior UAE experience.

Help bring AI agents to companies worldwide.

Over the next decade, autonomous agents will redefine how we work.

Botpress allows companies to build and deploy advanced AI agents that move beyond conversation into real business logic.

Our product works today and at scale, across industries, regions, and limitless use cases.

As the 3rd fastest-growing B2B AI start-up worldwide, we’re at the forefront of the AI revolution, providing the most widely-used platform for sophisticated AI agents.

The work ahead is ambitious. The opportunity is rare. We take a deliberate approach to growth: product-led, capital-efficient, and highly focused.

If you want to build foundational technology for one of the most meaningful platform shifts in software, we’re looking for top talent to join us.

Key Highlights:

• Over 1 million AI agents and chatbots deployed
• 700,000+ platform users
• Trusted by 35% of Fortune 500 companies
• 7 years of expertise in AI solutions

As the Technical Support Engineering Lead , you’ll manage and grow our support engineering team, ensuring our customers get world-class technical assistance and guidance. You’ll balance hands-on problem-solving with leadership responsibilities, driving improvements in processes, tooling, and knowledge-sharing while mentoring and enabling your team.

This role is ideal for someone who thrives at the intersection of technology, leadership, and customer success. You’ll work closely with Product, Engineering, and Customer Success to deliver an exceptional support experience and scale how our users succeed with AI automation.

• Lead, mentor, and develop a team of Technical Support Engineers
• Set team goals, track performance, and provide coaching for continuous growth
• Oversee support operations, ensuring timely, high-quality responses to customer issues
• Investigate and troubleshoot complex technical problems escalated from the team
• Establish and refine triage, escalation, and incident management processes
• Collaborate with Engineering and Product to surface recurring issues and drive product improvements
• Own and improve internal knowledge bases and external documentation practices
• Analyze support trends, metrics, and user feedback to reduce friction and improve experience
• Represent the support function in cross-functional discussions and planning

• Proven experience in a technical support or engineering leadership role.
• Strong technical troubleshooting skills and familiarity with modern web technologies.
• Comfortable reading and understanding TypeScript, Node.js, Javascript, and React.
• Experience working with APIs, logs, and cloud-based tools.
• Knowledge or exposure to AI/LLMs (Large Language Models) and their applications.
• Exceptional communication skills with the ability to coach and guide others.
• Calm and structured problem-solving approach in high-pressure scenarios.
• Experience managing or scaling support operations in a SaaS or AI/ML environment.
• Good knowledge of English and French. Bonus: Comfortable working in Spanish, Portuguese, French, or another language in our target regions.
• Curious, resourceful, and eager to create an excellent customer experience

Botpress recently raised its $25 million Series B funding. As a fast-growing start-up, we run a lean and innovative ship that leans on AI for maximum business impact. At Botpress, everyone is an owner, bringing their unique perspective and talents.

Our teams are talented and passionate. We intentionally hire individuals who are eager, passionate, talented, and hungry to learn and grow throughout their career.

We operate mainly in-office, with a culture that values both technical rigor and shared ambition.

You'll be on a team that's not just adapting to the AI revolution, but leading it. Joining our team means changing the future of enterprise AI and building technology that will define the next era of business automation.

• Work at the forefront of AI-powered automation in a fast-growing start-up.
• Grow in a dynamic and stimulating environment.
• Competitive salary and flexible benefits to support your well-being.

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: 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.