Automation and Data Transformation Specialist📣 إعلان

منذ يوم واحد

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	الرياض

وصف الوظيفة

About the Role

Linnk Group is seeking an experienced Automation and Data Transformation Specialist to join our team in Riyadh, Saudi Arabia. This full-time role focuses on designing and implementing automated data workflows to significantly enhance business efficiency. The ideal candidate will bring 5-10 years of relevant experience to this critical function.

Role Overview and Impact

The Automation and Data Transformation Specialist will be instrumental in driving operational improvements through robust data solutions. This position requires strong expertise in data integration, automation, and enterprise reporting, with a preference for candidates possessing banking domain experience. The specialist will ensure data quality and integrity across all automated processes.

Key Responsibilities

Develop and automate business workflows to streamline operations.
Gather business requirements and prepare Business Requirements Documents (BRDs) and process documentation.
Generate dynamic reports and dashboards in Excel, PDF, and PowerPoint utilizing enterprise data.
Integrate data from Enterprise Data Warehouses (EDW) and APIs, ensuring data quality and integrity.
Collaborate effectively with business and technical teams to deliver comprehensive automation solutions.
Support data governance initiatives and continuously optimize automation performance.

Required Qualifications

Bachelor's or Master's degree in a relevant field.
Significant experience in data automation and transformation, ranging from 5 to 10 years.
Strong hands-on experience with key automation tools and platforms.
Demonstrated experience in API integration, Enterprise Data Warehouses (EDW), and data transformation.
Exposure to data governance tools is preferred.

Essential Skills and Experience

Candidates must possess strong analytical, problem-solving, and communication skills to succeed in this role. Experience within the banking domain is preferred, providing valuable context for data transformation and automation initiatives.