Data & AI Analyst (225-1008)

A Data & AI Analyst plays a crucial role in leveraging data-driven insights and artificial intelligence to drive strategic decisions and operational efficiencies. They are responsible for analyzing large sets of data, building predictive models, and helping businesses understand complex datasets to facilitate informed decision-making processes. Typically, a Data & AI Analyst uses advanced analytics techniques and machine learning algorithms to extract meaningful insights that support business growth and innovation. The position requires a deep understanding of data science, analytical methods, and AI technologies. By working collaboratively with cross-functional teams, a Data & AI Analyst translates data into actionable strategies that enhance business intelligence and optimize company performance. This role is ideal for individuals with a strong analytical mindset, a passion for technology, and a desire to solve complex business problems with data.

Responsibilities

• Collect and analyze large datasets to identify trends and insights.
• Develop predictive models and algorithms to enhance business operations.
• Collaborate with cross-functional teams to deliver comprehensive data solutions.
• Communicate complex data findings to non-technical stakeholders effectively.
• Design and implement machine learning models to improve business outcomes.
• Monitor and optimize data processing and analysis systems for performance.
• Ensure data integrity, accuracy, and compliance with company policies.
• Utilize data visualization tools to present data-driven insights clearly.
• Assist in the development of AI-driven products and services.
• Identify new opportunities to leverage company data for strategic advantages.
• Stay updated with the latest trends and advancements in data analytics.
• Provide training and support to other team members on data-related activities.

Requirements

• Bachelor’s degree in Data Science, Computer Science, or a related field.
• Proven experience in data analysis and using AI technologies in business settings.
• Strong understanding of machine learning algorithms and data mining techniques.
• Proficiency in data analytics tools like Python, R, or SQL is essential.
• Experience with data visualization tools such as Tableau or Power BI.
• Excellent problem-solving skills and attention to detail in data analysis.
• Strong communication skills with the ability to convey data insights effectively.