Logo for Masai

Industry Mentor - Analytics with AI | Part Time | Kannada

Role overview

Qualifications

  • Hands-on experience in Data Analytics, Business Analytics, Data Science, or a related field.
  • Strong proficiency in SQL and data analysis.
  • Strong working knowledge of Excel and data manipulation.
  • Practical experience with Python or R for data analysis.

Responsibilities

  • Conduct live mentoring sessions and technical office hours covering Data Analytics, AI, and industry best practices in Kannada.
  • Guide learners through practical applications of Excel, SQL, Python/R, statistics, data analysis, and visualization.
  • Review assignments, dashboards, notebooks, and projects and provide actionable technical feedback.
  • Conduct technical assessments, mock interviews, and project reviews to prepare learners for industry opportunities.

Key facts

  • Remote from: India
  • Part time
  • English

Hard skills

Other skills

  • Microsoft Excel
  • Communication
  • Mentorship
  • Problem Solving

About the company

Masai logo

Masai

Bootcamps & Skills Academies

On a mission to make tech careers accessible to everyone, no matter their financial or educational backgrounds.

Company details

IndustryBootcamps & Skills Academies
Company size201 - 500

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

About the Opportunity

We are looking for an experienced Analytics Industry Mentor to coach and upskill learners in Data Analytics and AI. This role involves technical mentoring, project reviews, practical problem-solving, and interview preparation for learners building industry-ready analytics solutions.

The ideal candidate will have hands-on experience in Data Analytics, Business Analytics, Data Science, or related fields, strong communication skills, and the ability to simplify complex concepts and guide learners effectively in Kannada.

Role & Responsibilities

  • Conduct live mentoring sessions and technical office hours covering Data Analytics, AI, and industry best practices in Kannada.

  • Guide learners through practical applications of Excel, SQL, Python/R, statistics, data analysis, and visualization.

  • Review assignments, dashboards, notebooks, and projects and provide actionable technical feedback.

  • Guide learners on data cleaning, data wrangling, EDA, statistical analysis, and insight generation.

  • Help learners understand real-world data-driven problem-solving and business use cases.

  • Conduct technical assessments, mock interviews, and project reviews to prepare learners for industry opportunities.

  • Guide learners in building effective dashboards and communicating data-driven insights.

  • Help learners understand industry practices, tools, workflows, and expectations for analytics roles.

  • Collaborate with curriculum and product teams to improve course content, projects, and practical assignments.

  • Track learner progress and maintain mentorship records.

  • Identify learner challenges and work with relevant teams to resolve blockers.

Skills & Qualifications Must-Have

  • Hands-on experience in Data Analytics, Business Analytics, Data Science, or a related field.

  • Strong proficiency in SQL and data analysis.

  • Strong working knowledge of Excel and data manipulation.

  • Practical experience with Python or R for data analysis.

  • Strong understanding of statistics, EDA, data wrangling, and hypothesis testing.

  • Experience with data visualization tools such as Power BI, Tableau, or Python visualization libraries.

  • Practical experience working on real-world analytics projects.

  • Prior experience in mentoring, teaching, training, or technical coaching.

  • Strong spoken Kannada communication skills.

  • Ability to explain complex analytics concepts in a simple, practical, and structured manner.

Preferred

  • Experience with Machine Learning fundamentals and AI-driven analytics.

  • Experience building and reviewing dashboards and data storytelling projects.

  • Experience conducting technical interviews or assessments.

  • Experience reviewing analytics resumes, projects, portfolios, or case studies.

  • Experience working with large or complex datasets.

  • Industry experience in building data-driven solutions for real-world business problems.

  • Familiarity with current AI tools and their applications in analytics workflows.

Engagement & Benefits

  • Part-time, flexible engagement designed for working professionals.

  • Remote opportunity across India.

  • Opportunity to mentor and impact job-ready Analytics and AI learners.

  • Opportunity to contribute to curriculum, projects, and practical learning experiences.

  • Competitive mentor compensation.

  • Collaborative environment with experienced instructors and industry professionals.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Related jobs

Other jobs at Masai

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.