Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs.

We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses.

A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 250,000 dedicated employees serving clients across 66 countries.

We deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.

• A PROUD HISTORY OF OVER 75 YEARS
• FY22 REVENUE 10.4 BN USD
• WE'RE PRESENT IN 66 COUNTRIES
• OVER 1,400 ACTIVE GLOBAL CLIENTS

• Data Management & Analysis:

• Collect, process, and analyze large volumes of dealership performance and customer feedback data.
• Use advanced Excel functions to generate detailed reports, identify trends, and uncover issues in the appeal process.
• Develop logic and models to validate appeal data accuracy and support faster decision-making.
• Provide insights to reduce time spent on individual appeals.

• Appeal Process Optimization

• Identify opportunities for improving the appeal process, focusing on reducing decision time and increasing efficiency.
• Create tools (e.g., Excel macros, dashboards, automation scripts) to streamline the appeal validation process.
• Develop performance metrics to track response times, approval rates, and process bottlenecks.

• Stakeholder Communication:

• Communicate appeal decisions and process updates with dealerships, management, and internal stakeholders.
• Ensure clear and professional communication with dealerships to guide them through the appeal process.
• Address and resolve appeal-related inquiries, ensuring customer satisfaction.

• Continuous Improvement:

• Stay updated on changes to the Incentive Program and new KPIs to ensure alignment with the appeal process.

• Work with cross-functional teams (Sales, Service, Customer Experience, IT) to integrate new feedback channels into the appeal process.
• Identify inefficiencies in the appeal process and propose solutions to improve outcomes.

• Reporting & Documentation:

• Prepare regular reports on appeal volumes, trends, and performance metrics for internal stakeholders.
• Maintain clear documentation of all appeal-related processes, including workflows and escalation procedures.

• Ability to gather, analyze, and interpret large sets of data to identify trends, insights, and patterns
• Experience in presenting data insights, trends, and recommendations to senior management.
• Skilled in gathering business requirements from stakeholders, defining project goals, and creating detailed documentation.
• Ability to identify inefficiencies and recommend process improvements to enhance productivity and effectiveness
• Proficiency in advanced Excel (e.g., pivot tables, macros, VLOOKUP, and conditional formatting).
• Experience in data validation, trend analysis, and error identification.
• Knowledge of database tools like SQL for data extraction and manipulation.
• Familiarity with tools like Power BI, Tableau, or Excel for creating appealing dashboards and reports.
• Ability to summarize data insights and key trends for stakeholders.
• Experience with automation tools (e.g., Python scripts, Excel macros) to streamline repetitive tasks. (Preffered)
• Knowledge of APIs for integrating and processing dealership data. (Preffered)
• Understanding of customer satisfaction surveys, Google reviews, and other feedback mechanisms.
• Ability to identify anomalies or patterns in survey data.
• Ability to assess dealer-submitted evidence and justify approval or rejection decisions.
• Strong understanding end customer journey for vehicle sales and vehicle service at dealership.
• Strong written and verbal communication skills for collaborating with dealerships, internal teams, and leadership.
• Good Understand on the survey data, interference and appeal process.