AI for Data & Analytics Coach
Jobgether
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This role on the market
1,487 open analytics roles across 298 companies are on ApplySarthi right now, most of them in Bengaluru (127), Hyderabad (87), Delhi NCR (53).
- Business Intelligence Engineer, Amazon Prime Video Product AnalyticsAmazon.com Services LLC
- Data Scientist-Advanced AnalyticsIBM
- Director- Digital, Data and Analytics - WREFGsk · bengaluru
- Specialist - Analytics & ReportingJll · delhi ncr
- Analytics EngineerDashlane
What analytics roles keep asking for: SQL (35%), Python (27%), Tableau (18%) — counted across their open postings here.
Jobgether has 3,942 open roles listed here.
- AI Researcher — Distillation
- AI Researcher — Distillation
- Art Director
- Applied ML Engineer
- AI Science Writer, Nebius Academy (Contract)
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for analytics roles keep coming back to SQL, Python, Tableau. Practise those questions before you sit with Jobgether.
Questions you are likely to be asked
- Why do you want to join Jobgether?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the AI for Data & Analytics Coach at Jobgether interview free →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.
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Listed on lever · posted 2026-09-21. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.