Business Analytics Mentor

Business Analytics – Mentor Role
Job Description & Mandatory Skills
Role Summary
We are looking for an experienced Business Analytics or Data Analytics Mentor to conduct live, interactive online sessions and mentor learners through an industry-oriented AI Powered Business Analytics program.
The mentor will guide learners from business problem definition and data preparation through analysis, visualization, AI-assisted insights, recommendations, and capstone presentation.
Key Responsibilities
Conduct live, interactive online sessions with concept explanations, live tool demonstrations, hands-on exercises, and case studies.
Guide learners in Excel, SQL, Power BI, Tableau, Python/Pandas, and AI tools.
Facilitate learner participation through questions, discussions, activities, and practical exercises.
Guide learners through the Business Analytics lifecycle: Problem Definition → Data Collection → Data Cleaning → Analysis → Interpretation → Decision Making.
Review assignments, dashboards, SQL queries, analyses, and projects; conduct doubt-clearing and live project evaluation sessions.
Demonstrate practical use of AI tools such as ChatGPT for data cleaning, analysis, insight generation, and reporting.
Guide learners in data storytelling and communicating insights to non-technical stakeholders.
Mentor the end-to-end capstone from raw data through dashboard, AI insights, recommendations, and final presentation.
Build and demonstrate practical AI workflows/agents, where applicable.
Mandatory Technical Skills
Business Analytics: Business and Data Analytics fundamentals, analytics lifecycle, KPI-driven analysis, business insights, and decision-making.
Advanced Excel: Data cleaning, formulas, lookups, Pivot Tables/Charts, dashboards, Power Query, and basic automation.
SQL: Intermediate to advanced SQL including joins, aggregations, subqueries, CTEs, CASE statements, window functions, and data cleaning.
Power BI: Power Query, data modeling, DAX, measures/KPIs, time intelligence, interactive dashboards, and sharing.
Tableau: Data preparation, calculated fields, visualizations, interactive dashboards, calculations, and sharing.
Statistics: Descriptive statistics, probability, sampling, hypothesis testing, T-test, ANOVA, Chi-square, correlation, A/B testing, and time-series concepts.
Python/Pandas: Python fundamentals, Pandas, data cleaning/transformation, aggregation, merging, and basic visualization.
Predictive & Customer Analytics: Regression, decision trees, clustering, RFM analysis, customer segmentation, and business application of predictive analytics.
Generative AI: ChatGPT/LLM concepts, prompt engineering, AI-assisted analytics, insight generation, reporting, and responsible AI usage.
AI Automation / Agentic AI: Basic AI workflows/agents; working knowledge of tools such as n8n, Flowise, or Langflow.
Data Storytelling: Communicating analytical findings, recommendations, and business impact to non-technical audiences.
Mentoring Skills
Proven experience conducting live, interactive online training or mentoring sessions.
Strong verbal communication and presentation skills.
Ability to explain technical concepts clearly to learners with different skill levels.
Ability to troubleshoot learner questions and problems in real time.
Hands-on, learner-centric teaching approach.
Experience reviewing projects and providing constructive feedback.
Experience
3+ years of relevant experience in Business Analytics, Data Analytics, BI, or a related field.
Hands-on experience delivering real-world business analytics projects, dashboards, and insights.
Experience mentoring or training students and/or working professionals.
Experience conducting live online interactive sessions.

Work arrangement
No