BUSINESS ANALYST L3

Job Title: BUSINESS ANALYST L3 Company: Wipro Limited Job Category: Machine Learning Roles & Responsibilities: Position Type: Full\-Time Department: Business Operations, AI Data Operations \& Executive Reporting Reports To: \[To be confirmed] Role Overview ----------------- We are seeking a hands\-on Business Analyst to turn complex operational and financial data into reliable reporting, actionable insights, and scalable workflows. You will own MIS and executive reporting, strengthen data quality, automate processes, and support AI model training and evaluation. This role combines strong analytical and technical skills with stakeholder management and team leadership to drive informed decisions and operational improvement. Key Responsibilities ------------------------ * Reporting \& Insights: Own daily, weekly, and monthly MIS reports, dashboards, and executive summaries; translate trends, gaps, and risks into actionable recommendations. * Business Performance: Track operational, financial, quality, productivity, and AI performance KPIs; support reviews, action planning, and continuous improvement. * Automation \& Data Pipelines: Build and improve reporting automation and data transformation workflows using advanced Excel, SQL, Python, or equivalent tools to reduce manual effort. * Data Quality \& Governance: Validate complex, multi\-source datasets and spreadsheet conversions, preserving calculations, formulas, and source integrity. Maintain quality checks, SOPs, documentation, and data confidentiality. * AI Operations: Prepare and validate operational datasets for AI training and evaluation; assess output accuracy, investigate errors, and support model and workflow improvements. * Stakeholder Partnership: Gather business requirements, align data definitions with engineering, product, finance, and operations teams, and communicate insights clearly to leadership. * Delivery \& Team Leadership: Own reporting and data operations delivery, prioritize workloads, mentor analysts and data operators, and ensure accurate outputs within agreed timelines. * 5–8\+ years of experience in business analysis, MIS reporting, operations analytics, or AI/data operations, with ownership of business deliverables. * Advanced Excel skills, including complex formulas, Pivot Tables, VLOOKUP/XLOOKUP, and multi\-sheet data models; experience building management reports and dashboards. * Hands\-on experience with SQL and data extraction, plus Python, JavaScript/Google Apps Script, or equivalent tools for automation and data transformation. * Ability to clean, reconcile, and validate large, unstructured, and multi\-source datasets, with strong attention to data integrity. * Practical understanding of AI, LLMs, and machine learning, with experience in model training, fine\-tuning, or evaluation using operational data. * At least 2 years of direct people management experience, including coaching, workload allocation, and delivery oversight. * Strong analytical thinking, financial and commercial acumen, stakeholder management, and written and verbal communication; ability to manage competing priorities independently. Role Purpose The purpose of this role is to perform initial business analysis and create basic process documents in line with defined guidelines to assist team members in understanding client requirements and supporting early\-stage analysis and documentation activities. Area of Responsibility Market research \& benchmarking\-Gather basic information from predefined sources to support in identifying alternate third party products. Position Type: Full\-Time Department: Business Operations, AI Data Operations \& Executive Reporting Reports To: \[To be confirmed] Role Overview ----------------- We are seeking a hands\-on Business Analyst to turn complex operational and financial data into reliable reporting, actionable insights, and scalable workflows. You will own MIS and executive reporting, strengthen data quality, automate processes, and support AI model training and evaluation. This role combines strong analytical and technical skills with stakeholder management and team leadership to drive informed decisions and operational improvement. Key Responsibilities ------------------------ * Reporting \& Insights: Own daily, weekly, and monthly MIS reports, dashboards, and executive summaries; translate trends, gaps, and risks into actionable recommendations. * Business Performance: Track operational, financial, quality, productivity, and AI performance KPIs; support reviews, action planning, and continuous improvement. * Automation \& Data Pipelines: Build and improve reporting automation and data transformation workflows using advanced Excel, SQL, Python, or equivalent tools to reduce manual effort. * Data Quality \& Governance: Validate complex, multi\-source datasets and spreadsheet conversions, preserving calculations, formulas, and source integrity. Maintain quality checks, SOPs, documentation, and data confidentiality. * AI Operations: Prepare and validate operational datasets for AI training and evaluation; assess output accuracy, investigate errors, and support model and workflow improvements. * Stakeholder Partnership: Gather business requirements, align data definitions with engineering, product, finance, and operations teams, and communicate insights clearly to leadership. * Delivery \& Team Leadership: Own reporting and data operations delivery, prioritize workloads, mentor analysts and data operators, and ensure accurate outputs within agreed timelines. * 5–8\+ years of experience in business analysis, MIS reporting, operations analytics, or AI/data operations, with ownership of business deliverables. * Advanced Excel skills, including complex formulas, Pivot Tables, VLOOKUP/XLOOKUP, and multi\-sheet data models; experience building management reports and dashboards. * Hands\-on experience with SQL and data extraction, plus Python, JavaScript/Google Apps Script, or equivalent tools for automation and data transformation. * Ability to clean, reconcile, and validate large, unstructured, and multi\-source datasets, with strong attention to data integrity. * Practical understanding of AI, LLMs, and machine learning, with experience in model training, fine\-tuning, or evaluation using operational data. * At least 2 years of direct people management experience, including coaching, workload allocation, and delivery oversight. * Strong analytical thinking, financial and commercial acumen, stakeholder management, and written and verbal communication; ability to manage competing priorities independently. Work Location: Hyderābād, India Availability: Full time

Required Skills \& Experience --------------------------------- Preferred Experience ------------------------ * Power BI, Tableau, or other data visualization tools. * Insurance or customer service industry experience. Required Skills \& Experience --------------------------------- Preferred Experience ------------------------ * Power BI, Tableau, or other data visualization tools. * Insurance or customer service industry experience. Key Skills: Machine Learning, Python, Model Training Salary: INR 288000 - 945000 per yearly