Data Analyst

Demonstrates strong expertise in data analytics, including data extraction, cleansing, validation, data crunching, and deep-dive analysis across large and complex datasets.

Capable of identifying trends, patterns, anomalies, risks, and opportunities through both quantitative and qualitative analysis.

Strong business acumen, with the ability to connect data insights to business outcomes, commercial performance, operational efficiency, and strategic objectives.

Translates raw, unstructured data into compelling management dashboards, reports, and visual storytelling using modern analytics and visualization tools.

Generates actionable recommendations and key insights to support leadership teams in making informed and timely decisions.

Builds executive-level presentations featuring clear narratives, KPIs, performance trends, and business implications.

Leverages AI-powered tools and advanced analytics techniques to accelerate data transformation, reporting automation, insight generation, and visualization development.

Experience with tools such as Power BI, Excel (Advanced), SQL, Python, Microsoft Fabric, Copilot, ChatGPT, or other AI-enabled analytics platforms.

Strong ability to automate recurring reporting processes and improve efficiency through analytics solutions.

Collaborates with business stakeholders to understand requirements, define success metrics, and develop data-driven solutions.

Proactively identifies opportunities for process improvement, performance optimization, and data quality enhancement.

Excellent communication and stakeholder management skills, with the ability to present complex analytical findings in a simple and impactful manner.

Ability to work independently, manage multiple priorities, and deliver high-quality outputs within tight timelines