598 Data Visualization Specialist jobs in the United Arab Emirates

Job Title: Data Visualization Specialist

We are seeking a highly skilled and experienced data visualization specialist to join our team. The ideal candidate will have a strong background in data analysis, visualization, and communication. They will work closely with our editorial team to create engaging and interactive visual stories that inform and educate our audience.

The successful candidate will be responsible for analyzing and interpreting complex data sets, creating interactive visualizations, and developing compelling narratives to convey insights and findings. They will also collaborate with designers and developers to ensure seamless integration of visualizations into our digital platforms.

This is an excellent opportunity for a talented individual who is passionate about storytelling through data. If you have a keen eye for detail, excellent analytical skills, and the ability to communicate complex ideas simply, we want to hear from you.

• Bachelor's degree in journalism, data science, or a related field.
• Minimum 7 years of experience in data journalism.
• Proficiency in Python, R, SQL, and data visualization tools (Flourish, Tableau).
• Strong analytical skills and ability to simplify complex data for broad audiences.
• Fluency in English (Arabic is a plus).

• A competitive salary and benefits package.
• The opportunity to work on high-profile projects and collaborate with a talented team of journalists and designers.
• A dynamic and supportive work environment that encourages creativity and innovation.

The successful candidate will report to the Head of Data Visualization Journalism and work within a busy team in our vibrant newsroom. We offer a range of training and development opportunities to help you grow your skills and advance your career.

Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you.

Abu Dhabi, United Arab Emirates | Posted on 08/22/2024

A Senior Data Specialist is responsible for overseeing the collection, processing, and interpretation of data to inform business strategies and support operational needs. This role involves working closely with clients to understand their business needs, analyzing complex datasets, and delivering actionable insights that drive business decisions.

1. Client engagement and consultation. Work closely with clients to gather requirements, define project scopes, and provide expert data solutions.
2. Collaborate with internal teams and stakeholders to align project goals with client needs.
3. Lead data management initiatives, including data governance, data architecture, and data quality improvement.
4. Strong understanding of data governance principles, practices, and frameworks.
5. Provide strategic guidance on data management, data governance, and best practices.
6. Experience with data security, privacy regulations, and compliance requirements in UAE.
7. Utilize Business Process Management (BPM) methodologies to enhance data workflows and optimize operations.
8. Develop and maintain data documentation, including data dictionaries and data lineage documentation.
9. Monitor and enhance data security, ensuring compliance with data protection regulations like GDPR and UAE data privacy laws.

Education

1. Bachelor’s degree in computer science, Data Science, Information Technology, or a related field.
2. Professional certifications related to data management, data science, or business intelligence (e.g., Certified Data Management Professional (CDMP), Certified Analytics Professional (CAP)).
3. 5-8 years of experience in data analysis, data management, or business intelligence, with at least 2-3 years in a senior or leadership role.

1. 5-8 years of experience in data analysis, data management, or business intelligence, with at least 2-3 years in a senior or leadership role.
2. Strong client management skills with a focus on building long-term relationships.
3. Excellent verbal and written communication skills, with the ability to convey complex information clearly.
4. Understanding of the business landscape and client expectations in the UAE and the wider Middle East region.
5. Ability to manage multiple data projects simultaneously, prioritize tasks, and meet deadlines.
6. Adaptability to work in a multicultural environment.

Skills

1. Python (or other programming languages)

Join to apply for the Data Specialist role at GMG

Join to apply for the Data Specialist role at GMG

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.

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.

Role Summary:

As a Data Analyst you will be responsible for collecting, analyzing, and interpreting large data sets from various sources including sales, market, consumer, and category data. This role is important to build insightful, data-driven strategies that drive business growth and consumer engagement. It is key to have a strong analytical mindset, hands-on experience in data analysis tools, and a passion for turning raw data into actionable insights.

Key Success Drivers including Accountabilities and Responsibilities:

• Analyze complex datasets from multiple sources (sales, market research, consumer behavior, category performance).
• Build and maintain dashboards and reports using Power BI to visualize trends and performance metrics.
• Translate data into clear, compelling insights and strategic recommendations for marketing initiatives.
• Assist in market segmentation, customer profiling, and identifying growth opportunities.
• Partner with cross-functional teams including Sales, Category, and Product to align data insights with business objectives.
• Ensure data integrity and accuracy through consistent validation and quality checks.
• Prepare presentations and reports to communicate findings to both technical and non-technical stakeholders.
• Support ad hoc analysis and special projects as needed by the business. Operational Excellence: Maintain organized documentation of research, plans, and deliverables.
• Stay updated on industry news, sales numbers, best practices, and emerging trends to inform strategies.
• Support the Senior Manager – Strategy in day-to-day tasks and project management.
  
  

• Excellent written and verbal communication skills.
• High attention to detail and ability to work independently Soft Skills.
• Eager to learn and grow in a fast-paced environment.
• Collaborative and a team player with a proactive attitude.
• Adaptable and open to feedback.
  
  

• 1–3 years of proven experience in a similar Data Analyst role Experience in a retail or consumer-focused environment is preferred Demonstrated experience in data reporting, trend analysis, and dashboard creation
• Exposure to market, sales, and consumer data analytics is highly desirable

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology
• Industries Retail

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Global Village, Dubai, United Arab Emirates 9 hours ago

Dubai, Dubai, United Arab Emirates 19 hours ago

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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 worlds 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 Sitas and McCain.

Role Summary:

As a Data Analyst you will be responsible for collecting analyzing and interpreting large data sets from various sources including sales market consumer and category data. This role is important to build insightful data-driven strategies that drive business growth and consumer engagement. It is key to have a strong analytical mindset hands-on experience in data analysis tools and a passion for turning raw data into actionable insights.

Key Success Drivers including Accountabilities and Responsibilities:

Analyze complex datasets from multiple sources (sales market research consumer behavior category performance).

Build and maintain dashboards and reports using Power BI to visualize trends and performance metrics.

Translate data into clear compelling insights and strategic recommendations for marketing initiatives.

Assist in market segmentation customer profiling and identifying growth opportunities.

Partner with cross-functional teams including Sales Category and Product to align data insights with business objectives.

Ensure data integrity and accuracy through consistent validation and quality checks.

Prepare presentations and reports to communicate findings to both technical and non-technical stakeholders.

Support ad hoc analysis and special projects as needed by the business. Operational Excellence: Maintain organized documentation of research plans and deliverables.

Stay updated on industry news sales numbers best practices and emerging trends to inform strategies.

Support the Senior Manager Strategy in day-to-day tasks and project management.

Functional/Technical Competencies:

Excellent written and verbal communication skills.

High attention to detail and ability to work independently Soft Skills.

Eager to learn and grow in a fast-paced environment.

Collaborative and a team player with a proactive attitude.

Adaptable and open to feedback.

Experience:

13 years of proven experience in a similar Data Analyst role Experience in a retail or consumer-focused environment is preferred Demonstrated experience in data reporting trend analysis and dashboard creation

Exposure to market sales and consumer data analytics is highly desirable

The role will be held by an academic and/or practitioner who has in-depth knowledge of the subjects outlined below and can actively contribute to knowledge transfer within their programme and university.

To conduct and contribute to learning, teaching, and knowledge transfer to benefit students, the School, the University and the wider community.

Learning and Teaching

1. Develop and review curricula and programmes through collaboration with colleagues in Dubai and London.
2. Ensure that the curriculum is at the forefront of knowledge and reflects the latest research insights and materials.
3. Drive innovation in learning and teaching approaches.
4. Coach and develop others in teaching methods and practice.
5. Deliver high-quality teaching to students at undergraduate and postgraduate level.
6. Enhance student experience and outcomes through initiatives.
7. Provide academic advice and counselling.
8. Supervise dissertations at undergraduate and postgraduate levels.
9. Liaise closely with teaching, technical and administrative staff to ensure a quality teaching and learning environment.

Knowledge, Skills and Experience

1. Postgraduate qualifications (normally a doctorate or equivalent) in Business Analytics, Data Science, Statistics, Business Information Systems are required.
2. Familiarity with machine learning algorithms and techniques.
3. Proficiency in statistical analysis tools and software such as R, Python, SAS, or SPSS.
4. Knowledge of data visualization tools like Power BI and Tableau.
5. Familiarity with database querying languages like SQL.
6. Ability to deliver high-quality teaching across the general curriculum of one or more of the following areas:
7. Business Analytics
8. Data Science
9. Statistics
10. Natural Language Processing
11. Data Ethics, Security, and Privacy
12. Evidence of competence in the fields mentioned above and a track record of research outputs, normally of high international standing, commensurate for stage of career.
13. A proven track record of innovation in teaching and learning, reflected in design, delivery and promotion of good professional practice.
14. Ability to engage students and staff, and to motivate them to perform at their best.
15. A proven record of success in undertaking, supervising and managing research activity, including Masters supervision.

Additional Experience

1. Previous experience working in business analytics, data analysis, or a related field is highly desirable.
2. Experience applying analytical techniques to real-world business problems.
3. Familiarity with various industries and their analytics needs, such as marketing analytics, financial analytics, operations analytics, HR analytics, etc.
4. Familiarity with big data analysis and cloud-based platforms like Microsoft Azure.
5. A proven record of success in undertaking, supervising and managing research activity, with at least some experience of student supervision.
6. Evidence of ability to attract research and knowledge transfer funding.
7. A Postgraduate Certificate in Higher Education, or equivalent teaching qualification.

Abu Dhabi, United Arab Emirates | Posted on 08/22/2024

A Senior Data Specialist is responsible for overseeing the collection, processing, and interpretation of data to inform business strategies and support operational needs. This role involves working closely with clients to understand their business needs, analyzing complex datasets, and delivering actionable insights that drive business decisions.

1. Client engagement and consultation. Work closely with clients to gather requirements, define project scopes, and provide expert data solutions.
2. Collaborate with internal teams and stakeholders to align project goals with client needs.
3. Lead data management initiatives, including data governance, data architecture, and data quality improvement.
4. Strong understanding of data governance principles, practices, and frameworks.
5. Provide strategic guidance on data management, data governance, and best practices.
6. Experience with data security, privacy regulations, and compliance requirements in UAE.
7. Utilize Business Process Management (BPM) methodologies to enhance data workflows and optimize operations.
8. Develop and maintain data documentation, including data dictionaries and data lineage documentation.
9. Monitor and enhance data security, ensuring compliance with data protection regulations like GDPR and UAE data privacy laws.

Education

1. Bachelor's degree in computer science, Data Science, Information Technology, or a related field.
2. Professional certifications related to data management, data science, or business intelligence (e.g., Certified Data Management Professional (CDMP), Certified Analytics Professional (CAP)).
3. 5-8 years of experience in data analysis, data management, or business intelligence, with at least 2-3 years in a senior or leadership role.

1. 5-8 years of experience in data analysis, data management, or business intelligence, with at least 2-3 years in a senior or leadership role.
2. Strong client management skills with a focus on building long-term relationships.
3. Excellent verbal and written communication skills, with the ability to convey complex information clearly.
4. Understanding of the business landscape and client expectations in the UAE and the wider Middle East region.
5. Ability to manage multiple data projects simultaneously, prioritize tasks, and meet deadlines.
6. Adaptability to work in a multicultural environment.

Skills

1. Python (or other programming languages)

A Senior Data Specialist is responsible for overseeing the collection, processing and interpretation of data to inform business strategies and support operational needs. This role involves working closely with clients to understand their business needs, analysing complex datasets and delivering actionable insights that drive business decisions.

• Client engagement and consultation. Work closely with clients to gather requirements, define project scopes and provide expert data solutions.
• Collaborate with internal teams and stakeholders to align project goals with client needs.
• Lead data management initiatives including data governance, data architecture and data quality improvement.
• Strong understanding of data governance principles, practices and frameworks.
• Provide strategic guidance on data management, data governance and best practices.
• Experience with data security, privacy regulations and compliance requirements in UAE.
• Utilize Business Process Management (BPM) methodologies to enhance data workflows and optimize operations.
• Develop and maintain data documentation including data dictionaries and data lineage documentation.
• Monitor and enhance data security, ensuring compliance with data protection regulations like GDPR and UAE data privacy laws.

Bachelor's degree in computer science, Data Science, Information Technology or a related field.

Professional certifications related to data management, data science or business intelligence (e.g., CDMP, CAP).

Experience in data analysis, data management or business intelligence with senior or leadership responsibility.

• Strong client management skills with a focus on building long-term relationships.
• Excellent verbal and written communication skills with the ability to convey complex information clearly.
• Understanding of the business landscape and client expectations in the UAE and the wider Middle East region.
• Ability to manage multiple data projects simultaneously, prioritize tasks and meet deadlines.
• Adaptability to work in a multicultural environment.

• SQL
• Python (or other programming languages)
• Data visualization tools (Power BI)
• Data warehousing and data modeling
• Data quality management
• ETL processes
• Cloud platforms (e.g., AWS, Azure, GCP)
• Data governance and compliance

• Tax-free Salary
• Medical Insurance
• Bonus

Quantitative Data Specialist

We are seeking a highly skilled and motivated Quantitative Data Specialist to join our dynamic team with a minimum of 4 years of work experience.

The ideal candidate will have extensive knowledge in quantitative finance, with a focus on FX or cryptocurrency trading. This position requires a strong foundation in Python programming and linear models, as well as proven experience in data mining.

• Collaborate with quantitative researchers to develop, tune, and refine trading models, ensuring optimal performance and accuracy.
• Apply expertise in quantitative finance to analyse complex data sets and extract meaningful insights that can directly impact trading strategies.
• Utilise Python to implement and maintain robust data analysis tools and algorithms.
• Conduct extensive data mining to identify new trading opportunities and trends in the FX and cryptocurrency markets.
• Develop and test linear and non-linear modelling techniques to improve predictive accuracy and model performance.
• Prepare detailed analytics reports and communicate findings to stakeholders and team members to support data-driven decision-making.

1. Proven experience as a Quantitative Analyst with a strong background in Python programming.
2. Advanced knowledge in quantitative finance, particularly in FX or crypto trading.
3. Proficiency in linear models and their application in financial modelling.
4. Demonstrated experience in data mining and handling large, complex datasets.
5. Ability to work closely and effectively with quantitative researchers and other team members.
6. Strong analytical skills with a keen attention to detail.
7. Excellent communication and presentation skills.

This is a remote position initially and then the candidate will be relocated to Dubai, UAE. Must be willing to relocate.

1. Advanced degree in Mathematics, Statistics, Computer Science, or a related field.
2. Experience with additional programming languages or analytical tools is a plus.

This role offers an exciting opportunity to advance your career in quantitative finance and contribute to the growth and success of our organisation.

Our organization is seeking a highly skilled professional to assume the role of Data Analyst .

The ideal candidate will have expertise in analyzing and interpreting complex data, ensuring that our strategic objectives are met.

The main responsibilities include:

• Aligning databases with organizational and member countries' needs.
• Applying advanced statistical analysis methods to interpret complex data sets.
• Transforming raw data into actionable insights and recommendations.
• Providing accurate and relevant data analyses to support reports and publications.
• Ensuring data integrity and relevance in all published materials.

Requirements for this position are:

• 5+ years of experience in database management, particularly in statistical or financial sectors.
• Bachelor's degree in business administration, finance, economics, investment management, or a related field.
• Master's degree in statistics, data science, or a related field in database management or statistics.
• Excellent communication and writing skills in Arabic and English; French is a solid advantage.

This is a challenging role that requires strong analytical and problem-solving skills. The successful candidate will have a deep understanding of statistical analysis and database management techniques, as well as excellent communication skills to effectively collaborate with internal and external stakeholders.