Data Analyst – Dubai, UAE | DILU Management Services

🔹 Key Responsibilities:

• Data Interpretation: Analyze complex datasets sourced from various APIs and multi-structured databases to identify trends and anomalies.
• Dashboard Engineering: Build, maintain, and optimize high-performance Power BI dashboards that provide real-time visibility into business KPIs.
• Quality Assurance: Ensure rigorous data integrity and accuracy, maintaining compliance with internal data governance standards.
• Process Automation: Identify opportunities to automate manual reporting tasks to increase team efficiency and reduce turnaround times.
• Stakeholder Collaboration: Translate technical findings into actionable business insights for management and cross-functional teams.
• Technical Support: Manage and query databases (including Microsoft Access) to support ad-hoc reporting and long-term project requirements.

🔹 Requirements:

• Technical Mastery: Advanced proficiency in Power BI and modern data visualization techniques.
• Database Knowledge: Hands-on experience working with relational databases, specifically Microsoft Access, and connecting to various APIs.
• Analytical Background: Proven track record in data analysis and reporting within a professional business environment.
• Work Schedule: Must be comfortable working UK-aligned hours (e.g., 10:00 AM – 7:00 PM or 11:00 AM – 8:00 PM).
• Soft Skills: Excellent communication skills to explain technical data to non-technical stakeholders; strong project management abilities.
• Attributes: Detail-oriented, proactive, and capable of working independently across multiple time zones.

What We Offer:

• Insight-Driven Culture: Work in an environment where your analytical output directly influences high-level business strategy.
• Global Exposure: Manage data projects that span multiple regions and time zones within a dynamic team.
• Technical Growth: Gain experience in optimizing complex data architectures and advanced API integrations.
• Compensation: Competitive monthly salary of AED 7,000 to 8,000, tailored to your technical skills and Power BI expertise.