Data Analyst📣 إعلان

منذ ساعتين تقريبا

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	جدة

وصف الوظيفة

About Match | ماتش and the Opportunity

Match | ماتش is seeking a dedicated Data Analyst to join its team in Jeddah, Makkah, Saudi Arabia. This full-time position offers an opportunity to contribute to data-driven decision-making within a dynamic environment. The ideal candidate will have 2 to 5 years of experience in data analysis.

Role Purpose

The primary purpose of the Data Analyst is to collect, analyze, and interpret complex datasets to support critical business decisions and enhance overall organizational performance. This role is instrumental in transforming raw data into meaningful and actionable insights that drive improvement.

Key Responsibilities

Collect, clean, validate, and analyze data from various sources to ensure accuracy and reliability.
Prepare comprehensive regular and ad-hoc reports tailored to specific business requirements.
Develop and maintain effective dashboards and data visualizations to present insights clearly.
Identify significant trends, patterns, and insights hidden within large datasets.
Ensure the accuracy, consistency, and integrity of all data processed and reported.
Perform thorough data quality checks and efficiently resolve any identified data discrepancies.
Automate repetitive reports and data processing tasks wherever feasible to improve efficiency.
Collaborate closely with different departments to understand their data requirements and analytical needs.
Present analytical findings and provide data-driven recommendations to various stakeholders.
Support management with insightful data analysis and strategic recommendations to inform decision-making.

Required Qualifications and Experience

A minimum of 2 to 5 years of experience in Data Analysis or a closely related analytical role.

Work Environment and Location

This is a full-time position based in Jeddah, Makkah, Saudi Arabia. The role involves working collaboratively with various internal departments to achieve data-driven objectives.