AI for Data & Analytics Coach

Accountabilities

• Coach students and professionals on practical applications of AI across data, analytics, and business intelligence functions.

• Help mentees leverage AI for data analysis, reporting, insights generation, forecasting, dashboard development, and workflow automation.

• Guide learners in identifying opportunities to use AI to improve analytical speed, efficiency, accuracy, and decision-making.

• Share practical workflows, tools, techniques, and best practices based on hands-on experience using AI in analytical environments.

• Help mentees integrate AI into existing data and analytics processes while maintaining effective analytical and business practices.

• Translate complex AI and data concepts into clear, actionable guidance for learners with varying levels of technical expertise.

• Adapt coaching sessions to each learner’s professional background, objectives, technical capabilities, and specific analytical challenges.

• Provide practical feedback and troubleshooting guidance to help learners improve their AI-enabled analytical workflows.

• Help learners understand how AI can support better insights, reporting, forecasting, and data-driven decision-making.

• Conduct virtual coaching sessions and contribute to a practical, engaging, high-impact learning experience.

• Stay current with AI tools, analytics technologies, data workflows, visualization solutions, and emerging applications of AI in analytical work.

Requirements

• Professional experience in data analytics, business intelligence, data science, reporting, or another closely related analytical discipline.

• Demonstrated hands-on experience using AI to improve analytical processes, efficiency, insights, reporting, or decision-making.

• Strong knowledge of data analysis, reporting, forecasting, dashboarding, visualization, or related analytical workflows.

• Experience applying AI to practical data and analytics use cases, with the ability to explain how these technologies can be used effectively.

• Familiarity with relevant AI, analytics, data visualization, automation, or business intelligence tools and technologies.

• Strong analytical and problem-solving skills, with the ability to translate data and business questions into practical solutions.

• Ability to explain technical concepts clearly and provide actionable guidance to professionals with different levels of technical expertise.

• Strong communication, coaching, mentoring, and interpersonal skills.

• Ability to adapt coaching sessions to different industries, professional backgrounds, and analytical objectives.

• Comfortable working independently in a flexible, fully remote contract environment.

• Demonstrated curiosity and adaptability as AI and data technologies continue to evolve.

Benefits

• Flexible, fully remote contract position.

• Ability to set your own coaching hours and availability.

• Ability to establish your own coaching rates.

• Opportunity to coach students and professionals across a diverse range of industries and analytical use cases.

• Opportunity to share practical expertise at the intersection of AI, data, and analytics.

• Virtual coaching environment with flexibility to work remotely within the United States.

• Collaborative, high-energy environment where your expertise can directly impact learners.

• Opportunity to operate within a fast-paced, AI-native professional environment.

• Exposure to diverse data, analytics, and AI challenges through coaching engagements.