Data Analytics Trainer

About this job

Job Opening: Data Analytics & Business Intelligence (BI) Trainer

• Company: Analytix Learning Academy
• Location: Hyderabad, Telangana
• Work Mode: Classroom / Online / Hybrid (as applicable)
• Employment Type: Full-time / Contract (as applicable)
• Experience: 2–5+ years of relevant industry or hands-on project experience
• Open Positions: 1

About Analytix Learning Academy

Analytix Learning Academy offers practical, industry-oriented training programmes in Data Analytics, Business Intelligence, Data Science and Artificial Intelligence.

We are seeking a passionate and technically strong Data Analytics & BI Trainer to train students and graduates in Excel, SQL, Python for analytics, statistics, Power BI, data modelling, dashboards and AI-enabled business intelligence.

The ideal candidate should combine hands-on analytics expertise with the ability to teach concepts clearly, demonstrate real business use cases and mentor students through practical projects.

Job Summary

The trainer will deliver the Analytics Foundation stage of our Applied Data Science & AI Engineer programme, covering business problem-solving, Excel, statistics, SQL, Python-based data analysis, AI-assisted development, Power BI, DAX, data modelling, AI in BI and introductory Generative AI and Agentic AI applications for analytics.

The role involves instructor-led training, live demonstrations, practical assignments, project mentoring, assessments and technical interview preparation.

Key Responsibilities1. Technical Training & Curriculum Delivery

• Teach Excel fundamentals, advanced formulas, lookup functions, PivotTables, Power Query and dashboard development.
• Explain business problem framing, KPI identification, data interpretation and analytical thinking.
• Deliver statistics and probability sessions covering descriptive statistics, distributions, sampling, confidence intervals, hypothesis testing, correlation, regression and A/B testing.
• Teach SQL using MySQL or PostgreSQL, including querying, filtering, joins, aggregation, subqueries, CTEs and window functions.
• Train students in Python for data analysis, including fundamentals, functions, data structures, NumPy, Pandas, APIs and data cleaning.
• Teach exploratory data analysis (EDA), data quality validation, outlier analysis and data visualisation.
• Deliver Power BI training covering data connections, Power Query, ETL, star schema, relationships, DAX, calculated columns, measures and advanced DAX.
• Explain dashboard design, interactive reports, drill-through, tooltips, bookmarks, row-level security and data storytelling.
• Introduce Power BI Service, publishing, scheduled refresh, workspaces and performance optimisation.
• Demonstrate AI-assisted Excel, SQL and DAX development using appropriate AI tools.
• Introduce AI in BI, forecasting, anomaly detection, AI-assisted reporting and Generative AI concepts.
• Demonstrate introductory RAG and Agentic AI workflows for analytics, including automated reporting and business insight summaries.
• Practical Training & Real-World Projects
• Conduct live demonstrations, hands-on labs and guided exercises using business datasets.
• Create industry-oriented assignments based on sales, finance, HR, marketing, banking and operations.
• Mentor students through module-wise mini projects, including:
• Excel sales performance dashboard and business recommendations.
• SQL analysis of banking or customer transaction data.
• Python-based EDA and data quality reporting.
• Power BI HR attrition dashboard and retention recommendations.
• AI-assisted sales reporting and insight automation.
• Guide students in converting business requirements into KPIs, analytical questions and dashboard specifications.
• Teach students to interpret results, identify trends and communicate actionable recommendations.
• Review project documentation, dashboards and presentations.
• Student Assessment & Mentoring
• Prepare daily practice tasks and module-wise…