What Jobs are available for Data Modeling in Dubai?
Showing 4 Data Modeling jobs in Dubai
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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Senior Data Architect
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Education
- Master or Bachelor’s degree in computer science, information systems management or related field.
- Solution and Architecture certifications such as TOGAF or other.
- More than 5+ years of experience in information technology, with 2+ years spent in data architecture or technology solutions definitions and implementations.
- Extensive experience in banking and financial services domain
- Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions
- Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security
- Expertise with DW Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification
- Experiences in cloud native principals, designs and deployments.
- Extensive experience working with and enhancing Continuous Integration (CI) and Continuous Development (CD) environments
- Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, and Data Archival
- Define workload migration strategies using appropriate tools
- Drive delivery in a matrixed environment working with various internal IT partners
- Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously
- Must be able to work independently and have skills in planning, strategy, estimation, scheduling
- Strong problem solving, influencing, communication, and presentation skills, self-starter
- Experience with data processing frameworks and platforms (Informatica, Hadoop, Presto, Tez, Hive, Spark etc.)
- Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Python, GIT, Jenkins)
- Exposure to BI tools and reporting software (e.g. MS PowerBI and Tableau)
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Senior Data Center Architect
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DataOne is looking for a Senior Data Center Architect with extensive experience in designing cutting-edge, large-scale data center facilities. In this role, you will be responsible for the strategic planning of data center spaces, ensuring they meet stringent operational, technical, and regulatory requirements while aligning with the company’s commitment to sustainability and AI-driven innovation. You will collaborate with cross-functional teams—including structural, mechanical, electrical, and project management—to develop architectural solutions that are visually compelling, operationally efficient, and future-ready.
Key Responsibilities- Develop comprehensive master plans, floor layouts, and site plans for high-tech data centers.
- Establish design concepts balancing aesthetic appeal with operational requirements such as heat management and airflow optimization.
- Ensure space allocations align with rack layouts, cable management strategies, and scalability needs.
Cross-Disciplinary Collaboration
- Work closely with structural, electrical, mechanical, and civil teams to integrate architectural elements seamlessly.
- Coordinate with BIM specialists, data center engineers, and external consultants to align project goals and technical specifications.
- Participate in design reviews and workshops, ensuring architectural plans support both operational and safety standards.
Compliance & Regulatory Adherence
- Ensure designs comply with local zoning laws, building codes, fire safety regulations, and environmental standards.
- Advocate for sustainable architectural solutions, incorporating certifications such as LEED or BREEAM when applicable.
- Manage documentation and approval processes with relevant authorities, securing permits and licenses in a timely manner.
Material & Finish Selection
- Specify materials, finishes, and architectural features that meet mission-critical criteria for durability, safety, and efficiency.
- Evaluate suppliers and products for their environmental impact, aligning choices with DataOne’s sustainability objectives.
- Implement best practices for thermal efficiency, soundproofing, and energy performance in data center environments.
Technical Optimization
- Collaborate with IT and engineering teams to optimize rack placement, accessibility, and cable routing within data halls.
- Develop architectural solutions accommodating high-density computing, AI-driven processes, and advanced cooling systems.
- Innovate space-planning concepts for power distribution and resilience requirements.
Quality Assurance & Documentation
- Review and approve architectural drawings, specifications, and construction documentation to ensure accuracy and project alignment.
- Oversee project milestones for architectural deliverables, providing quality checks and guidance to design and construction teams.
- Maintain up-to-date records of design changes, following strict version control and documentation protocols.
- Mentor junior architects, design technicians, and interns on technical and professional development.
- Contribute to project scheduling, resource allocation, and budgeting for architectural scopes.
- Champion a culture of innovation and continuous improvement in architectural methodologies and sustainability practices.
- Education : Bachelor’s or Master’s degree in Architecture or a related field.
- Experience : 8+ years in architectural design, with significant exposure to data centers or mission-critical facilities. Background in sustainable design principles is highly desirable.
- Technical Skills : Proficiency in AutoCAD and Revit (BIM). Familiarity with 3D modeling tools like SketchUp or Rhino . Ability to use Adobe Creative Suite for high-quality presentations is a plus.
- Soft Skills : Excellent leadership, communication, and problem-solving abilities. Comfortable collaborating in a fast-paced, global environment.
- Certifications : Licensed Architect or equivalent qualification. LEED AP , BREEAM Assessor , or other sustainability certifications are advantageous.
- Innovative Projects : Work on state-of-the-art, AI-enabled data center designs that push the boundaries of architectural and technological possibilities.
- Global Impact : Contribute to sustainable solutions that revolutionize data infrastructure worldwide.
- Collaborative Culture : Join an international team of experts in engineering, sustainability, and construction.
- Growth Opportunities : Access continuous professional development, leadership training, and upward mobility within a rapidly expanding organization.
- Sustainability Focus : Be part of a company dedicated to minimizing environmental impact through cutting-edge architectural and engineering practices.
If you’re a forward-thinking architect passionate about designing innovative, high-performance data centers, we want to hear from you. Apply now and help shape the blueprint of tomorrow’s sustainable digital infrastructure.
Job Summary LOCATIONDubai, France, United Kingdom
CONTRACTPermanent
START DATEASAP
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