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Data Analytics Trainer

Analytix Learning Academy
Hyderābād
Experience1-2 years
Salary INR 30000 - 50000 per monthly
LocationHyderābād
Job TypeFull time
Skills: Data Science Python SQL Pandas NumPy Statistics Power BI Tableau
Job Description
Job Title: Data Analytics Trainer Company: Analytix Learning Academy Job Category: Data Science Roles & Responsibilities: 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. 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. 4\. Curriculum Development \& Academic Coordination * Prepare lesson plans, presentations, datasets, practical exercises, assignments and assessment materials. * Follow the approved curriculum and maintain training schedules. * Develop case studies based on realistic business problems and industry scenarios. * Coordinate with other trainers to ensure a smooth transition from analytics foundations to Data Science and AI Engineering. * Work with academic and placement teams to support student readiness. * Incorporate relevant developments in Power BI, analytics automation and AI\-assisted business intelligence. * Advanced Excel, including formulas, PivotTables and Power Query. * SQL using MySQL or PostgreSQL. * Statistics and probability for business analytics. * Python for data analysis, including Pandas, NumPy and data visualisation. * Power BI Desktop, Power Query, data modelling and DAX. * Dashboard development, KPI reporting and data storytelling. * Hands\-on analytical problem\-solving using real or representative business datasets. * Power BI Service, workspace management, scheduled refresh and row\-level security. * Exposure to Tableau or other BI platforms. * AI\-assisted analytics using ChatGPT, Claude, Gemini or Copilot. * Basic understanding of Generative AI, LLMs, RAG and Agentic AI workflows. * Familiarity with tools such as n8n, BigQuery, dbt or Microsoft Fabric. * Experience using Git/GitHub for project documentation and portfolio development. * Excellent communication and presentation skills. * Ability to explain technical and statistical concepts to beginners. * Strong analytical thinking and business problem\-solving skills. * Comfortable managing classroom sessions and supporting individual learners. * Patient, approachable and committed to student development. * Able to connect technical concepts with real business decisions. Work Location: In person Work Location: Hyderābād, India Availability: Full time
Requirements
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 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 role involves instructor\-led training, live demonstrations, practical assignments, project mentoring, assessments and technical interview preparation. 3\. Student Assessment \& Mentoring Required Technical Skills Educational Qualifications * B.E./B.Tech, MCA, M.Sc., MBA Analytics or a related qualification preferred. * Relevant certifications in Microsoft Power BI, analytics or related technologies are an advantage. * Strong practical experience and demonstrable projects will be valued. Experience Requirements * Demonstrable hands\-on experience in Data Analytics, Business Intelligence, reporting or related roles. * Experience with business dashboards, SQL analysis and analytical reporting. * Prior experience in technical training, mentoring, corporate training or academic instruction is preferred. * Candidates must be able to demonstrate their technical skills through a practical assessment. Preferred Candidate Profile * Complete assigned modules within the agreed training schedule. * Deliver hands\-on practical sessions and industry\-oriented case studies. * Conduct regular assessments and provide timely feedback. * Ensure students complete module\-wise assignments, mini projects and capstone milestones. * Support student portfolios, mock interviews and job readiness. Key Skills: Data Science, Python, SQL, Pandas, NumPy, Statistics, Power BI, Tableau Salary: INR 30000 - 50000 per monthly
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