Associate-Mapping

Req Id: 86921

City: Hyderabad

State/Province: Telangana

Posting Start Date: 10/6/25

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. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description:

Job Description

Role Purpose

The purpose of the role is to provide effective technical support to the process and actively resolve client issues directly or through timely escalation to meet process SLAs

About the Role & Team:

Join the Lanes Evaluation team at Google Maps and play a crucial role in shaping the future of navigation! Our objective is to significantly improve Google Maps data quality, enhance user experience, and drive future innovations related to lane-level information. As a Data Quality Analyst, you will be at the forefront of this mission, rigorously testing hypotheses, resolving complex data quality issues, performing in-depth data analysis, and continuously refining evaluation workflows and policies through expert operation and insightful analysis.

• Responsibilities:
  
  • Hypothesis Testing & Validation: Design and execute tests to validate hypotheses aimed at enhancing lane data accuracy, completeness, and overall user experience.
  • Issue Resolution: Investigate, diagnose, and solve complex quality issues pertaining to Google Maps lane data, ensuring high standards of accuracy and reliability.
  • Data Analysis & Insight Generation: Perform comprehensive data analysis on lane-related datasets to identify trends, patterns, and anomalies, deriving actionable insights for quality improvement and product development.
  • Evaluation & Enhancement: Conduct targeted evaluations to pinpoint areas for process, policy, or product enhancement within the lane data domain.
  • Research & Development: Undertake secondary research to explore potential avenues for expanding and improving existing lane evaluation workflows, operational policies, and reference materials.
  • Root Cause Analysis (RCA): Develop and deliver detailed RCA reports, particularly for ML/Hypothesis Model testing outcomes, to understand underlying causes of data discrepancies or model performance issues.

• Skill set requirement:
  
  Essential Skills - Must have
  
  • Meticulous attention to detail.
  • Analytical and problem-solving abilities.
  • Ability to think critically and organize tasks based on the goal of the work
  • Self driven individuals who can identify and implement efficiencies in any task