28 Data Quality Manager jobs 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

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.

• 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.

A major player in the UAE is looking to set up a brand-new Data Governance function.

• Develop and execute a comprehensive strategy for establishing a data governance function within the organisation.
• Define the data governance vision, mission, and core principles, aligning them with business goals and regulatory requirements.
• Implement a data governance framework that facilitates self-service data access while ensuring data integrity and responsible use.
• Develop and execute a robust communication strategy to educate stakeholders across the organisation on data governance principles and best practices.
• Foster a collaborative data-centric culture where business units understand the value of data governance and actively participate in data stewardship.
• Work with business leaders to identify and prioritise data initiatives that align with strategic objectives.

• Bachelor's degree in business administration, Information Technology, or a related field with minimum 8 years of experience in data governance and strategy.
• Proven track record of successfully establishing and leading data governance programs in large-scale organisations.
• Excellent communication, collaboration, and stakeholder management skills.
• The ability to influence and build consensus across diverse business stakeholders, IT teams, and senior leadership.
• A strategic mindset with a focus on business outcomes and data-driven decision making.

Data Governance Business Analyst – NDMO

• Interpret and apply NDMO guidelines including data classification.
• Re validate evidence gathered for P1 & P2 NDMO controls and update as applicable.
• Support implementation and validation of P3 NDMO Controls.
• Perform compliance assessment using CAST tool to identify and update all the NDMO controls against evidence gathered and reviewed.
• Ensure organizational data practices comply with national standards and regulatory requirements.
• Support review and enforcement of data governance policies, standards, and procedures across business units.
• Coordinate with risk, compliance, and business teams to ensure governance alignment.
• Act as a liaison between the business and Data Governance Office (DGO) team.
• Facilitate training and onboarding for data stewards and owners across departments.
• Enforce data ownership and accountability structures.
• Engage with business units to identify data ownership and develop domain mapping structures with sign offs.

Virtusa is one of the fastest growing IT Services companies in the Middle East with a growing client base in the UAE, KSA, Qatar & Oman. We work with leading Banking and Financial Services, Travel, Telecom and Enterprise firms in the region, and partner with our clients to achieve recognition from Gartner, IDC, WfMC and other analysts.

Add the Middle East to your global professional experience and have the opportunity to work on some of the leading Digital Transformation programs.

Teamwork, quality of life and professional & personal development are values that Virtusa proudly embodies. By joining us you enter a global team of 30,000+ people who care about your growth, providing exciting projects, opportunities and work with state‑of‑the‑art technologies throughout your career.

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 leveraging Artificial Intelligence to drive innovation and digital transformation. As a Senior AI & Data Governance Consultant, you will collaborate with cross-functional teams to design, develop, and deploy AI-driven solutions that enhance business performance and decision-making. You’ll act as a bridge between business strategy and technology execution — identifying opportunities, crafting solutions, and ensuring successful adoption of AI across client environments.

• Provide expert guidance on how to leverage AI technologies to improve operations, optimize processes, and drive business growth.
• Evaluates business processes to identify opportunities for AI Implementation, integration, and enhancement.
• Conducts and develops feasibility studies and cost-benefit analyses for proposed AI solutions.
• Designs and develops AI strategies and solutions that align with the company’s objectives and capabilities.
• Leads cross-functional teams to develop and implement AI systems, ensuring they meet quality standards and project specifications.
• Provides guidance on data governance, ethical AI practices, and compliance with relevant regulations.
• Provides information on the latest AI trends, tools, and technologies to provide cutting-edge solutions.
• Monitors the implementation of all approved AI initiatives with internal teams and assigned 3rd party technology providers.
• Facilitate training and change management initiatives to promote AI adoption across company.
• Facilitates proper documented handover.
• Monitors the performance of all AI Implementations and make recommendations for improvements where required and applicable.
• Decipher AI concepts to non-technical stakeholders in a clear and understandable manner.
• Assess the risks associated with AI implementation and developing mitigation strategies.

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or a related field.
• Proven experience delivering AI solutions in enterprise environments.
• Ability to lead workshops, prepare proposals, and present AI strategies to clients.
• Exposure to MLOps, model deployment, and performance optimization is a plus.
• Fluent English and Arabic strongly preferable.

• 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.

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.

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.

Quality Assurance Analyst At Faham Group, we're seeking an experienced Quality Assurance Analyst to join our team. This dual-focused role will be responsible for developing and delivering high-quality training programs while also conducting thorough operational auditing to ensure continuous improvement across our organization. Key Responsibilities Needs Assessment & Strategic Planning
Conduct comprehensive assessments to identify training gaps across departments
Partner with managers to pinpoint critical skill deficiencies and competency development needs
Align training initiatives with organizational objectives and growth strategies
Program Development & Content Creation
Design and develop engaging training materials specifically for White Collar staff
Tailor content to address the unique requirements of various roles and organizational levels
Maintain up-to-date training resources that reflect company standards and best practices
Training Delivery & Facilitation
Facilitate dynamic training sessions using diverse instructional methods including presentations, simulations, and interactive activities
Lead both in-person and virtual training effectively to accommodate different learning environments
Create positive learning experiences that maximize participation and knowledge retention
Product Knowledge Training
Design and implement comprehensive product knowledge training for newly hired white collar employees
Ensure staff understand product features, benefits, and applications
Evaluation & Continuous Improvement
Implement measurement systems to assess training effectiveness through various metrics
Collect and analyze participant feedback to refine content and delivery approaches
Maintain detailed documentation of all training activities and outcomes
Auditing & Quality Assurance
Field Audits & Compliance Verification
Conduct regular site visits to evaluate adherence to safety standards, quality protocols, and operational procedures
Identify and document deviations from established processes and standards
Perform customer verification calls to gather comprehensive feedback on all service touchpoints
Review customer service call recordings to identify service enhancement opportunities
Discrepancy Management
Thoroughly investigate reported issues and meticulously document findings in the violation/discrepancy tracking system
Apply root cause analysis techniques to identify underlying issues
Process Improvement
Provide leadership with actionable recommendations based on audit findings
Collaborate across departments to implement improvement initiatives
Utilize audit insights to enhance training materials and methodologies
Reporting & Analytics
Performance Reporting
Generate comprehensive training effectiveness reports and ROI analyses
Prepare detailed monthly audit reports highlighting key findings and improvement areas
Compile and present violation/discrepancy tracker data with actionable insights
Develop visual dashboards to track key performance indicators

Qualifications & Experience
Minimum 3 years of experience in training, development, and auditing roles
Strong knowledge of coaching models, facilitation techniques, and leadership development
Understanding of process improvement methodologies (Six Sigma, Lean, etc.)
Professional certification in L&D or Auditing (CPTD, SHRM-CP, CIA, Six Sigma)
Familiarity with operational environments similar to ours
Proficiency in creating engaging training programs and materials
Advanced skills in MS Office suite and training technology platforms
Demonstrated experience delivering face-to-face and virtual sessions to diverse audiences
Expertise in documenting workflows, SOPs, and identifying inefficiencies
Experience conducting internal audits, compliance checks, and risk assessments
Skilled in root cause analysis techniques (5 Whys, Fishbone Diagrams, etc.)
Strong analytical abilities and technical report-writing skills
Excellent communication skills with the ability to engage cross-functional teams
Meticulous attention to detail and high standards for documentation accuracy
Proactive approach to identifying process and performance improvement opportunities
Demonstrated ability to manage multiple priorities and meet deadlines #J-18808-Ljbffr

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We are an Emirati company focused on creating a balanced, expert workforce, specialising in aviation services, for the UAE. Come join us today!

The Quality Assurance Officer (QAO) will support and execute the Quality Assurance strategy within the aviation maintenance site as directed by the GAL QA Manager and/or Aviation Directorate in accordance with AFAD Technical Affairs Directorate regulations to ensure contractual requirements are being maintained. The QAO will also capture the defined aviation QA Key Performance Indicator(s) (KPI’s) data and report this information to the relevant maintenance program management team and the QA Manager to monitor the overall health of the aviation maintenance program.

1. Responsible for supporting the aviation maintenance site auditing scheduled as defined in the GAL maintenance contract.
2. Assist the QA Manager in meeting and ensuring compliance to the documented quality management system auditing requirements and its processes.
3. Assist in the development of the relevant quality assurance KPI(s) to measure and monitor the aviation maintenance programs performance.
4. Carry out compliance audits for both GAL as required at both headquarters and/or the maintenance sites and performs root cause analysis as required for corrective actions and support maintenance in continual improvement of the overall quality management system.
5. Performs statistical analysis, data analysis and monthly reporting to the management team.
6. Oversees and monitors the development and implementation of the continual improvement program in collaboration with the management team.
7. Recommends changes to the documented quality management system based on experience and data analysis through monthly information.
8. Maintains a professional standard and practices in all aspects of the quality program and its services and be familiar with military organizations, regulations, procedures and their chain of command.
9. Maintains familiarization and ability to comprehend and understand various engineering specifications, original equipment manufacturer (OEM) drawings and/or repair specifications of aircraft related components and/or parts.
10. Must be able to travel between maintenance sites and headquarters.