What Jobs are available for Data Mapping in the United Arab Emirates?
Showing 5 Data Mapping 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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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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Data Integration Engineer
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We are a leading provider of innovative, high-performance solutions for airport logistics. Our portfolio includes products and services for baggage and cargo handling, advanced software for the digitalization of logistics processes, and a comprehensive range of maintenance and support services. Our major clients include renowned airports and airlines around the world.
We are looking for a highly motivated self-starter who is passionate about technology to join our team as a Data Integration Enginee r in Dubai.
What are my responsibilities?- Develop code to normalize data from various sources for ingestion and processing in Vanderlande Logistics’ flagship SaaS application.
- Ensure quality assurance for SaaS applications.
- Design and enhance technical solutions for both new and existing customers.
- Document proposed and implemented solutions, ensuring sound design and architecture.
- Provide regular status updates to requestors and key stakeholders.
- Ensure technical project documentation is thorough and up to date.
- Manage the handover process for the Service and Customer Success teams.
- Actively contributes to a collaborative, inclusive, and results-driven team environment.
- Communicate effectively with stakeholders and set clear expectations.
- Collaborate with a geographically dispersed, diverse team to exceed goals and align with strategic objectives.
- Manage a dynamic workload, adjusting priorities and actions in response to evolving business needs and new information.
- Strong analytical, logical thinking, and problem-solving skills.
- Passion for delivering high-quality projects and a commitment to excellence.
- Educational background in software development, computer science, mathematics, or a related field.
- Experience with at least one programming language (e.g., Java or Python).
- Knowledge of SQL, networking, and Unix/Linux is a plus.
- Proficiency in Microsoft Office Suite and other relevant tools; experience with GitLab is advantageous.
- Willingness to learn about airport and baggage handling operations.
- Ability to motivate teams and drive timely project completion.
- Tech-savvy with excellent written, verbal, and analytical communication skills.
- Highly organized with strong attention to detail.
- Skilled in both written and oral communication, with strong interpersonal abilities.
- Capable of conducting research into project-related issues and technologies.
- Experience with Agile and/or Lean management methodologies.
- Familiarity with client/server and web-based applications.
- Fluency in English is required; basic knowledge of German is an advantage.
- Resilient and comfortable with flexible working hours.
- Basic understanding of APIs and data integration tasks.
- Experience in the aviation industry is a plus.
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Data & Integration Specialist
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GDI takes pride in creating opportunities for personal growth and achievement. To apply for a job opening, please email your latest CV in MS Word or PDF format to , with the job title applied for in the subject line.
Job DescriptionWe are actively seeking a Data & Integration Specialist with expertise in Oracle Database to join our team. In this role, you will be responsible for the creation, implementation, and maintenance of data models essential for supporting the integration, reporting, and analytics functions of the organization. Your responsibilities will involve close collaboration with business stakeholders, data analysts, and IT teams to understand data requirements and transform them into efficient and robust data models.
Responsibilities- Collaborate with business stakeholders to comprehensively understand integration, reporting, and analytics data requirements and objectives.
- Design and develop conceptual, logical, and physical data models in alignment with Oracle Database standards.
- Exhibit proficiency in translating business requirements into precise data models.
- Work closely with Oracle Database administrators and SAP specialists to ensure seamless alignment of data models with integration needs.
- Collaborate with ETL developers and data engineers to ensure smooth data integration across various databases, SAP, and other relevant systems.
- Utilize programming languages such as .NET, Node.js, Python, etc., for REST-based service implementation (desirable).
- Preference for experience with middleware technologies such as SoapUI, Postman, and other middleware.
- Bachelor’s degree in computer science, Information Technology, or a related field.
- 3-5 years of experience as a data modeler and integration expert, including expertise with REST/SOAP-based services.
- Proficient knowledge of Oracle Database architecture, data structures, SQL, and hands-on experience with SAP data environments is preferred.
- Exceptional analytical and problem-solving skills, with a proven ability to translate business requirements into effective data models within Oracle Database and SAP landscapes.
- Strong communication and interpersonal abilities, enabling effective collaboration with stakeholders at all organizational levels, including Oracle Database administrators, SAP specialists, and business users.
- Capacity to thrive both independently and as part of a team in a fast-paced, dynamic work environment.
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101327 - Data Governance & Integration...
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About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
We are seeking an experienced Data Governance & Integration Consultant to lead the design and execution of enterprise-wide data management, governance, and integration strategies. The role will focus on defining integration architecture for Oracle Fusion with third-party SaaS and existing platforms, establishing a data governance framework, and aligning data architecture with Azure cloud analytics to enable data-driven decision-making and transformation.
Key Responsibilities- Define integration architecture and provide consultation to integrate Oracle Fusion with best-of-breed SaaS systems and existing investment platforms (e.g. GulfHR, Dynamo, CITCO).
- Draft data migration strategy and master data management plan.
- Align data architecture with Azure cloud analytics platform.
- Develop and implement a data governance model and master data framework.
- Design a future-ready data architecture integrated with Microsoft Azure.
- Bachelor’s or Master’s degree in Information Systems, Data Science, Computer Science, or a related field.
- 8–12 years of proven experience in data governance, integration architecture, and analytics platforms.
- Strong experience integrating ERP systems (preferably Oracle Fusion) with third-party SaaS and legacy systems.
- Define a future state data architecture model for Client Support Functions. Create Transition Roadmap detailing Target State Operating Model, transition approach and plan.
- Support Transformation Strategy and operating model design.
- Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
- Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
- Competitive compensation & benefits, ESOPs and international assignments.
- Supportive environment with healthy work-life balance and a focus on employee well-being.
- Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.
How to Apply:
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.
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