Data Analyst

Location: Dubai, UAE

Employment Type: Permanent, Full-time

About the Role:

Are you passionate about turning data into insights that drive business decisions? We are looking for a skilled and curious Data Analyst to join our dynamic team in Dubai. In this role, you will be the key link between raw data and strategic action, diving deep into datasets to uncover trends, build compelling narratives, and provide actionable recommendations that empower our growth and innovation. If you love transforming numbers into meaningful stories, we want to hear from you.

Key Responsibilities:

Extract, clean, and analyze complex datasets from various sources to identify trends, patterns, and anomalies.
Develop and maintain interactive dashboards and reports using visualization tools (e.g., Power BI, Tableau) to monitor key performance indicators (KPIs).
Write efficient SQL queries to manage and manipulate data within our databases.
Collaborate with cross-functional teams (e.g., Marketing, Operations, Finance) to understand their data needs and provide analytical support.
Translate business questions into data analysis projects and present findings in a clear, concise manner to stakeholders.
Support data-driven decision-making by providing timely and accurate insights.
Contribute to the continuous improvement of data collection and analysis processes.

Qualifications & Skills:

Essential:

Bachelor’s degree in Data Science, Statistics, Computer Science, Information Management, or a related quantitative field.
Professional fluency in both English and Arabic (written and spoken) is mandatory.
Proven proficiency in SQL for data querying and manipulation.
Advanced skills in Microsoft Excel (pivot tables, complex formulas, data models).
Hands-on experience with data visualization tools such as Power BI or Tableau.
Strong analytical and problem-solving mindset with exceptional attention to detail.
Excellent communication and storytelling skills, with the ability to explain technical insights to non-technical audiences.

Preferred (A Plus):

Familiarity with a programming language for data analysis, such as Python or R.
Experience in statistical analysis and A/B testing.
Understanding of data warehousing concepts and ETL processes.
Previous experience in a similar role within the region.

What We Offer:

A permanent role in a collaborative and innovative work environment.
The opportunity to make a tangible impact on business strategy and growth.
Professional development opportunities in a fast-paced, data-centric culture.

Marc Ellis

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