Data & AI Analyst

Job Title: Data & AI Analyst 

Location:  Riyadh, Saudi Arabia   

About Accenture  

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries – powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. With 738,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at www.accenture.com. 

Job Summary: 

We are seeking a highly motivated and skilled Data & AI Analyst with a bachelor's degree to join our growing team in KSA. This entry-level position offers an excellent opportunity to launch your career in data and AI, working on challenging projects and contributing to innovative solutions for our clients. You will gain hands-on experience in data engineering, machine learning, and cloud technologies, supported by a strong team and mentorship program. Candidates with prior internship experience at a consulting firm are highly encouraged to apply. 

Key Responsibilities: 

• Data Platform Development (Foundational): Contribute to the development and maintenance of data platforms, learning and applying technologies such as SQL, Python, and cloud-based data services. Assist in data ingestion and transformation tasks under the guidance of senior engineers. 

• Data Analysis and Exploration: Perform data analysis and profiling to understand data patterns, identify anomalies, and extract insights. Learn to use data visualization tools to communicate findings effectively. 

• ETL Processes (Introductory): Gain experience in ETL processes, learning the fundamentals of data extraction, transformation, and loading. Work with established ETL tools and scripts, gradually increasing complexity as you develop your skills. 

• Cloud Computing (Fundamentals): Learn and apply cloud computing concepts using platforms like AWS, Azure, or GCP. Gain familiarity with core cloud services related to data storage, processing, and analytics. 

• Machine Learning (Introductory): Develop a foundational understanding of machine learning concepts and algorithms. Work on supervised learning tasks with guidance from senior data scientists. Learn to use machine learning libraries like Scikit-learn or TensorFlow. 

• Data Visualization and Reporting: Create basic dashboards and reports using tools like Tableau, Power BI, or similar to present data insights. 

• Collaboration and Learning: Work closely with senior team members to learn best practices in data engineering, machine learning, and cloud computing. Actively participate in knowledge sharing and training sessions.