Data & AI Analyst (225-725)

The role of a Data & AI Analyst is pivotal in harnessing the power of data to drive strategic decision-making and innovation within an organization. As a Data & AI Analyst, you will be responsible for gathering, analyzing, and interpreting vast amounts of data to provide actionable insights that inform business strategies and operations. You will leverage advanced analytical techniques, machine learning models, and AI technologies to solve complex business problems and enhance operational performance. This role requires strong analytical skills, a robust understanding of data modeling, and the ability to translate data into clear, actionable narratives. As part of a dynamic team, you will collaborate with various departments to align data-driven insights with business objectives, facilitating the continuous evolution of the company’s data infrastructure and AI capabilities.

Responsibilities

• Gather and interpret complex datasets to generate meaningful insights and solutions.
• Develop machine learning models to solve real-world business challenges efficiently.
• Collaborate with cross-functional teams to align strategies with business objectives.
• Maintain and optimize existing data systems and AI processes for maximum efficiency.
• Create detailed and automated reports to track business performance metrics.
• Present insights and recommendations in a clear, understandable format to stakeholders.
• Identify and recommend data-driven improvements for existing business processes.
• Stay updated with the latest AI and data analysis trends and technologies.
• Ensure data accuracy and integrity through rigorous testing and validation processes.
• Work with large datasets using advanced analytical tools and software solutions.
• Contribute to the development of AI strategies and data governance frameworks.
• Provide training and support to team members on data analysis and AI techniques.

Requirements

• Bachelor’s degree in Data Science, Computer Science, or a related field.
• Proven experience in data analysis, machine learning, and AI applications.
• Proficiency in statistical modeling and data visualization tools and techniques.
• Strong analytical and problem-solving skills applied to complex datasets.
• Experience with SQL, Python, R, or other relevant programming languages.
• Excellent communication skills to explain data insights to non-technical stakeholders.
• Ability to work collaboratively in a dynamic, team-oriented environment.