Data Analyst jobs in United Arab Emirates

We are seeking a driven and curious Data Analyst to join our growing team. In this role, you will play a vital role in supporting our data-driven decision-making by collecting, analyzing, and visualizing data to uncover trends and insights. We are looking for someone with a strong foundation in data analysis principles, coupled with an intellectual mindset - a passion for learning, asking questions, and approaching challenges from multiple angles.

What you will deliver:

1. Analyse and interpret complex data sets to provide valuable insights and recommendations.
2. Collaborate with cross-functional teams to understand business needs and develop data-driven solutions.
3. Design and implement data models, databases, and dashboards to support business objectives.
4. Utilize advanced statistical and analytical techniques to enhance data analysis processes.
5. Identify trends, patterns, and opportunities for process improvement.
6. Collect data from various sources, including databases, APIs, and surveys.
7. Clean and prepare data for analysis, ensuring accuracy and consistency.
8. Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
9. Utilize data visualization tools to create clear and compelling presentations of key findings.
10. Contribute to the development and documentation of data analysis processes.
11. Communicate effectively with stakeholders at all levels to explain complex data findings in a clear and concise manner.
12. Stay up-to-date on the latest data analysis trends and technologies.
13. Actively participate in brainstorming sessions, proposing new ideas, and challenging existing assumptions.

Desired Candidate Profile:

1. Bachelor's degree in a relevant field.
2. Minimum of 5 years of experience in data analysis.
3. Proficient in Advanced Excel, SQL, Python, and data visualization tools (e.g., Tableau, Power BI).
4. Excellent communication skills to convey complex data insights to non-technical stakeholders.
5. Proven ability to work independently and collaboratively in a team environment.