Data Analyst

About the Role

We are looking for a meticulous and analytical Data Analyst to become part of our expanding team based in the United Arab Emirates. This position offers a full-time engagement with options for on-site or hybrid work settings.

Key Responsibilities

• Gather, cleanse, and examine data from various sources to aid in business decision-making processes.
• Create dashboards, reports, and visual data representations to communicate important insights effectively.
• Track key performance indicators (KPIs) to discover trends, opportunities, and areas for operational improvement.
• Work closely with internal stakeholders to grasp reporting needs and analytics requirements.
• Validate data ensuring high levels of accuracy, consistency, and integrity.
• Develop actionable suggestions derived from data analytics aligned with business goals.
• Assist in forecasting, budgeting, and strategic planning activities.
• Contribute to the construction and upkeep of data models and reporting infrastructure.

Candidate Requirements

• A Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or related disciplines is required.
• Proficient with SQL, advanced Microsoft Excel skills, and strong data analysis capabilities.
• Experience using data visualization platforms such as Power BI, Tableau, Looker, or equivalent tools.
• Knowledge of programming languages for analytics such as Python or R is considered beneficial.
• Understanding of database management, data warehousing, and reporting methodologies.
• Excellent analytical thinking, problem-solving aptitude, and communication skills.
• Ability to simplify and clarify complex data for diverse audiences.

Benefits and Perks

• Attractive and competitive salary package.
• Bonuses tied to performance metrics.
• Comprehensive health and insurance coverage.
• Support for professional development, including certifications.
• Opportunities to engage with both regional and international analytics initiatives.
• Paths for career growth and advancement.
• A cooperative, data-driven workplace culture.