BUSINESS ANALYST L3

Wipro; Hyderabad; Vor Ort; INR 1.200.000 - 1.800.000; Vollzeit

Zusammenfassung

Wipro Ltd. is seeking a hands-on Business Analyst to turn complex operational and financial data into reliable reporting, 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 blends strong analytical and technical skills with stakeholder management and team leadership to drive informed decisions and operational improvement across business operations and AI data workflows.

Qualifikationen

• 5–8+ years of experience in business analysis, MIS reporting, operations analytics, or AI/data operations, with ownership of business deliverables.
• Advanced Excel skills with complex formulas, Pivot Tables, VLOOKUP/XLOOKUP, and multi-sheet data models.
• Ability to clean, reconcile, and validate large, 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.

Aufgaben

• Own daily, weekly, and monthly MIS reports, dashboards, and executive summaries; translate trends, gaps, and risks into actionable recommendations.
• Track operational, financial, quality, productivity, and AI performance KPIs; support reviews, action planning, and continuous improvement.
• Build and improve reporting automation and data transformation workflows using advanced Excel, SQL, Python, or equivalent tools to reduce manual effort.
• Validate complex, multi-source datasets and spreadsheet conversions, preserving calculations, formulas, and source integrity. Maintain quality checks, SOPs, documentation, and data confidentiality.
• Prepare and validate operational datasets for AI training and evaluation; assess output accuracy, investigate errors, and support model and workflow improvements.
• Gather business requirements, align data definitions with engineering, product, finance, and operations teams, and communicate insights clearly to leadership.
• Own reporting and data operations delivery, prioritize workloads, mentor analysts and data operators, and ensure accurate outputs within agreed timelines.

Kenntnisse

Advanced Excel

Stakeholder management

Leadership

Analytical thinking

Written and verbal communication

Data validation

Tools

SQL

Python

Power BI

Tableau

Jobbeschreibung

Department: Business Operations, AI Data Operations & Executive Reporting

Reports To: [To be confirmed]

Position Type: Full-Time

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.

Required Skills & Experience

• 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.
• 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.

Preferred Experience

• Power BI, Tableau, or other data visualization tools.
• Insurance or customer service industry experience.

Ideal Candidate

A proactive, detail-oriented problem solver who combines business judgment with technical execution, takes ownership of outcomes, and builds reliable, scalable reporting and AI data operations.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.