52 Data Quality Manager jobs in Dubai

The Director of Data Analysis is responsible for collecting processing and analysing real estate data from various sources with the aim of providing accurate data-driven insights that support strategic decision-making in the real estate sector in United Arab Emirates. The role focuses on enhancing market transparency developing sector-wide performance indicators and supporting policy formulation and investment planning based on data.

Responsibilities

• Collecting and analyzing real estate data from multiple sources
• Processing and cleaning data to ensure its accuracy consistency and readiness for analysis
• Analyzing real estate data to extract and update the real estate index which enhances market transparency
• Preparing reports and dashboards to support strategic decision-making
• Developing sector performance indicators (e.g. price indices supply and demand occupancy rates etc.)
• Supporting policy development and investment planning by providing data-driven recommendations
• Contributing to real estate market studies and identifying market trends to support and update strategic urban development plans
• Collaborating with government entities and investors to provide transparent and accurate insights into the real estate market

Requirements

• Bachelors degree in Economics Statistics Business Administration Data Analysis or a related field.
• 5 years of experience in data analysis or market research with knowledge of the real estate market.
• Certifications in data analysis or economics are not required but are preferred
• Certifications in Data Analysis such as RICS or CF

We are seeking a highly skilled Data Analyst to join our team in Dubai. As a key member of our organization, you will be responsible for collecting, organizing, and analyzing data that informs business decisions.

- Collect and analyze large datasets to identify trends and patterns
- Develop and maintain databases to ensure accurate data storage and retrieval
- Create data visualizations to effectively communicate insights to stakeholders
- Collaborate with cross-functional teams to drive business growth through data-driven decision making

- Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
- Proficient in database management systems such as SQL and programming languages like Python
- Excellent problem-solving skills and ability to interpret complex data quickly and accurately
- Strong communication and presentation skills, with ability to clearly convey findings to colleagues and stakeholders
- Ability to work independently and collaboratively as part of a team

- Salary of 1300 AED per month
- Opportunity to work in a dynamic and growing industry
- Chance to develop your skills and expertise in data analysis

This is an excellent opportunity for individuals who are passionate about data and its applications. If you are motivated, detail-oriented, and able to work well under pressure, we encourage you to apply.

Manages the Planning Services for Bone Marrow Transplant (BMT) patients at American Hospital Dubai. Develops and implements goals while monitoring adherence to Standard Operating Procedures (SOPs) across all critical aspects of clinical service. Provides recommendations to resolve compliance issues in line with Dubai Health Authority (DHA) regulations. Engages with key ancillary departments to identify, monitor, and sustain systems supporting all areas of clinical program operations. Oversees all clinical and clerical staff, fostering positive interactions among team members, patients, and hospital departments, and reports directly to the Director of the Cancer Centre. Partners with the Director to create and uphold a Quality Management Plan (QMP) for the BMT Program, ensuring compliance with regulatory agencies such as the Foundation for the Accreditation of Cellular Therapy (FACT), Food and Drug Administration (FDA), American Association of Blood Banks (AABB), and American Hospital Dubai (AHD) policies and procedures.

• Implements and sustains the Quality System in the clinical transplant setting across collection programs, ensuring adherence to standards for quality management in adult and pediatric clinical programs and apheresis collection.
• Ensures compliance with BMT program Quality System standards, requirements, policies, and accreditation practices, overseeing document control, change management, and periodic review processes.
• Establishes, coordinates, and maintains procedures, processes, and policies for the Bone Marrow Transplant (BMT) program, focusing on maintaining quality and safety.
• Takes accountability for improving quality metrics within the department/unit and achieving organizational targets through defined quality objectives and functional responsibilities.
• Promotes continuous performance improvement in daily operations, addressing any identified discrepancies and trends in collaboration with clinicians.
• Maintains high-quality care for adult and pediatric recipients by independently conducting audits, reporting outcomes, and leading quality improvement activities and investigations.
• Serves as a clinical role model for staff, demonstrating knowledge of general nursing principles and applying pathophysiology in care.
• Works independently and collaborates with a multidisciplinary team throughout the transplant process, demonstrating expertise in Bone Marrow Transplant and educating patients and families.
• Participates in data collection and review for service enhancement within the department, recommending modifications based on Quality Improvement (QI) findings.
• Demonstrates service excellence by following American Hospital Dubai's standards and values (Professionalism, Respect, Integrity, Diversity, Excellence) and fostering positive interactions with patients, families, and staff.
• Promotes teamwork among program staff, fostering a collaborative and supportive environment.
• Ensures a safe working environment by following hospital safety, infection control, and security protocols.
• Encourages and investigates incident and customer complaint reporting, contributing to patient and family care improvements and initiating risk management processes as needed.
• Demonstrates effective communication with patients and staff, showing cultural sensitivity and proper etiquette in all interactions.
• Facilitates unit workflow, assigns tasks, and manages staffing needs, supporting efficient operations.
• Provides age-appropriate and developmentally suitable care, involving patients, significant others, and healthcare providers in the care and education process.
• Adheres to policies for safe handling, administration, and documentation of Narcotic/Controlled Drugs, ensuring compliance with hospital protocols.
• Displays professionalism in personal appearance and follows American Hospital Dubai's standards for patient and family interaction, acting as an escort when needed and ensuring a welcoming environment.
• Assumes responsibility for personal work and training needs, identifying areas for improvement and pursuing relevant training.
• Contributes to document control by developing and maintaining BMT Standard Operating Procedures and batch production records, supporting program documentation needs.
• Supports teamwork and collaboration among BMT program staff to build a cohesive and cooperative team.

• Bachelor's degree in nursing (minimum of three (3) years full-time course duration) or
• Degree in Nursing (minimum two (2) years course duration) and Registration as a Registered Nurse from Canada, USA, UK, Ireland, South Africa, New Zealand, and Australia.
• For UAE nationals graduates of UAE or non-UAE universities are exempted from the experience and clinical training requirements for the applied title. (UAE nationals must submit a copy of their birth certificate and the mother's family book).
• Non-UAE national graduates from UAE universities are required to successfully complete six (6) months of clinical training post-graduation in an APS health facility (except for Registered and assistant Nurse titles).
• Must hold a valid License/Registration to practice in their home country and/or country of last employment (where applicable).
• Must hold a minimum of a valid Basic Life Support (BLS) Certification or others according to the scope of practice.
• Post Graduate Qualification in Nursing Management/Advanced Clinical Speciality preferable.

PROFESSIONAL EXPERIENCE:

• Minimum of seven (7) years of nursing experience in the Bone Marrow Transplantation Unit.
• Minimum of three (3) years of Managerial Experience in the Bone Marrow Transplantation Unit.
• Knowledge of Joint Commission International Accreditation (JCIA) and Foundation for the Accreditation of Cellular Therapy (FACT).
• Skills in Leadership and Management.
• Ability to speak and write in English fluently.

Manages the Planning Services for Bone Marrow Transplant (BMT) patients at American Hospital Dubai. Develops and implements goals while monitoring adherence to Standard Operating Procedures (SOPs) across all critical aspects of clinical service. Provides recommendations to resolve compliance issues in line with Dubai Health Authority (DHA) regulations. Engages with key ancillary departments to identify, monitor, and sustain systems supporting all areas of clinical program operations. Oversees all clinical and clerical staff, fostering positive interactions among team members, patients, and hospital departments, and reports directly to the Director of the Cancer Centre. Partners with the Director to create and uphold a Quality Management Plan (QMP) for the BMT Program, ensuring compliance with regulatory agencies such as the Foundation for the Accreditation of Cellular Therapy (FACT), Food and Drug Administration (FDA), American Association of Blood Banks (AABB), and American Hospital Dubai (AHD) policies and procedures.

• Implements and sustains the Quality System in the clinical transplant setting across collection programs, ensuring adherence to standards for quality management in adult and pediatric clinical programs and apheresis collection.
• Ensures compliance with BMT program Quality System standards, requirements, policies, and accreditation practices, overseeing document control, change management, and periodic review processes.
• Establishes, coordinates, and maintains procedures, processes, and policies for the Bone Marrow Transplant (BMT) program, focusing on maintaining quality and safety.
• Takes accountability for improving quality metrics within the department/unit and achieving organizational targets through defined quality objectives and functional responsibilities.
• Promotes continuous performance improvement in daily operations, addressing any identified discrepancies and trends in collaboration with clinicians.
• Maintains high-quality care for adult and pediatric recipients by independently conducting audits, reporting outcomes, and leading quality improvement activities and investigations.
• Serves as a clinical role model for staff, demonstrating knowledge of general nursing principles and applying pathophysiology in care.
• Works independently and collaborates with a multidisciplinary team throughout the transplant process, demonstrating expertise in Bone Marrow Transplant and educating patients and families.
• Participates in data collection and review for service enhancement within the department, recommending modifications based on Quality Improvement (QI) findings.
• Demonstrates service excellence by following American Hospital Dubai's standards and values (Professionalism, Respect, Integrity, Diversity, Excellence) and fostering positive interactions with patients, families, and staff.
• Promotes teamwork among program staff, fostering a collaborative and supportive environment.
• Ensures a safe working environment by following hospital safety, infection control, and security protocols.
• Encourages and investigates incident and customer complaint reporting, contributing to patient and family care improvements and initiating risk management processes as needed.
• Demonstrates effective communication with patients and staff, showing cultural sensitivity and proper etiquette in all interactions.
• Facilitates unit workflow, assigns tasks, and manages staffing needs, supporting efficient operations.
• Provides age-appropriate and developmentally suitable care, involving patients, significant others, and healthcare providers in the care and education process.
• Adheres to policies for safe handling, administration, and documentation of Narcotic/Controlled Drugs, ensuring compliance with hospital protocols.
• Displays professionalism in personal appearance and follows American Hospital Dubai's standards for patient and family interaction, acting as an escort when needed and ensuring a welcoming environment.
• Assumes responsibility for personal work and training needs, identifying areas for improvement and pursuing relevant training.
• Contributes to document control by developing and maintaining BMT Standard Operating Procedures and batch production records, supporting program documentation needs.
• Supports teamwork and collaboration among BMT program staff to build a cohesive and cooperative team.

• Bachelor's degree in nursing (minimum of three (3) years full-time course duration) or
• Degree in Nursing (minimum two (2) years course duration) and Registration as a Registered Nurse from Canada, USA, UK, Ireland, South Africa, New Zealand, and Australia.
• For UAE nationals graduates of UAE or non-UAE universities are exempted from the experience and clinical training requirements for the applied title. (UAE nationals must submit a copy of their birth certificate and the mother's family book).
• Non-UAE national graduates from UAE universities are required to successfully complete six (6) months of clinical training post-graduation in an APS health facility (except for Registered and assistant Nurse titles).
• Must hold a valid License/Registration to practice in their home country and/or country of last employment (where applicable).
• Must hold a minimum of a valid Basic Life Support (BLS) Certification or others according to the scope of practice.
• Post Graduate Qualification in Nursing Management/Advanced Clinical Speciality preferable.

PROFESSIONAL EXPERIENCE:

• Minimum of seven (7) years of nursing experience in the Bone Marrow Transplantation Unit.
• Minimum of three (3) years of Managerial Experience in the Bone Marrow Transplantation Unit.
• Knowledge of Joint Commission International Accreditation (JCIA) and Foundation for the Accreditation of Cellular Therapy (FACT).
• Skills in Leadership and Management.
• Ability to speak and write in English fluently.

The purpose of this role is to lead on the monitoring and improvement of our global Service Line SL Platform data quality consistency and completeness. Supporting and collaborating with markets to manage and analyse SL related master data information such as clients products campaigns and suppliers.
Globally and regionally identifying measuring governing and reporting on data quality that supports our Service Line Operations team to drive actionable improvement in conjunction with Market SL COOs peers and team members cleanse govern and enhance data quality.
Supporting dentsu to build data quality awareness considering consistency completeness accuracy auditability and timeliness of the data quality to highlight a few key metrics.

Job Description:

Key responsibilities:
Is familiar with the overall dentsu strategy transformation roadmap and how Service Line technology advancements enable a new way of working and delivery of Service Line
Understands the onboarding process with respect to clients products intercompany and suppliers and the various parties involved in the endtoend onboarding process
Assists in the development of data definitions and business rules
Implements policies and procedures for the daytoday operational and administrative management of systems and data
Establishes procedures for detection and correction of dataquality issues and collaborate to establish policies procedures and internal controls affecting the quality of data
Offers evaluates and implements recommendations to enhance workflows and increase efficiency
Develops a deep understanding of the Service Line technology landscape including the data flows involving the local Service Line systems D365 other corporate systems and global onboarding solutions to be able to critically assess the operational and business change required to realise the value from our investments
Conducts periodic reviews with our market and functional teams to identify inaccurate or legacy data and take the required actions to deactivate/eliminate/rectify master records so as to avoid financial implications
Works with Global MDM team to share insights/inputs based on the discussions and analysis around master data collected at local/regional level
Supports data entry and input into our Service Line platform to ensure and appropriately QA data quality from the start

Location:

Brand:

Time Type:

Contract Type:

Required Experience:

Manager

This 5-day course focuses on leveraging data analytics as a decision support tool in management. Data analytics is increasingly being used by professionals to make informed business decisions.

• Explore the applications of data analytics in management practice
• Leverage statistical evidence and integrate quantitative reasoning into decision making
• Promote confidence in using evidence-based information

• Explain the scope and structure of data analytics
• Apply cross-sectional data analytics techniques
• Interpret and critically assess statistical evidence
• Identify relevant applications of data analytics in practice

• Management support professionals
• Data analysts regularly encountering data/analytical information
• Professionals seeking to derive greater decision-making value from data analytics

Key Skills:

• Ability to interpret statistical evidence
• Integration of quantitative reasoning into decision making
• Appreciation of data analytics applications in management

Benefits:

• Improved decision-making skills through data-driven insights
• Enhanced understanding of data analytics in management
• Increased confidence in using evidence-based information

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

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

We're seeking experienced professionals to ensure data accuracy and quality across multiple systems through effective data management practices.

• Clean, standardize, and de-duplicate datasets to maintain data integrity.
• Create, update, and validate records in SAP Master Data Management systems.
• Analyze large data sets using advanced Excel functions to identify trends and insights.
• Support data quality audits and web research to enrich and validate records.
• Assist with web application testing to ensure seamless user experience.
• Utilize data cleansing tools to analyze data trends and improve data quality.

• Proven experience in data cleaning and validation is essential for this role.
• A strong knowledge of SAP Master Data Management principles is required.
• Advanced Microsoft Excel skills are necessary for analyzing large data sets.
• Hands-on experience supporting data audits is crucial for ensuring data quality.

Candidates with a strong technical foundation and excellent attention to detail will excel in this position.