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Data Specialist

GMG

Dubai

On-site

AED 160,000 - 200,000

Full time

Today
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Job summary

A global well-being company in Dubai is seeking an experienced Data Analyst to analyze and interpret large data sets. This role involves building reports using Power BI, translating data into actionable insights, and assisting in market segmentation. The ideal candidate has 13 years of experience in a similar role and a passion for data analytics in a retail environment.

Qualifications

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

Responsibilities

  • Analyze complex datasets from multiple sources.
  • Build dashboards and reports using Power BI.
  • Translate data into insights and recommendations.
  • Assist in market segmentation and customer profiling.
  • Ensure data integrity and accuracy.
  • Prepare presentations to communicate findings.

Skills

Data analysis
Power BI
Market research
Communication skills
Trend analysis
Job description
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, analysing 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 behaviour, category performance).
  • Build and maintain dashboards and reports using Power BI to visualise 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 organised 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.

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