Job Description

Company Overview
At Google Operations Center, we are dedicated to providing caring and knowledgeable support to Google users and customers. We assist with everything from troubleshooting product issues to providing around-the-clock advertiser assistance. Located in the IT Services and IT Consulting industry, our Hyderabad headquarters drives our mission with a team of 5001-10000 employees.
Job Overview
We are seeking an Analytics & Insights Tech Lead to join our team in Gurgaon. In this full-time role, you will leverage your expertise to lead complex analyses and develop insights that drive strategic decision-making. You will work in a dynamic environment, collaborating with various cross-functional teams to influence Google's operations and performance.
Qualifications and Skills

• Proven expertise in SQL for querying databases, analyzing datasets, and working with large datasets to derive meaningful insights (Mandatory skill).
• Solid experience with business intelligence tools and techniques to enable decision-making and track key performance indicators (Mandatory skill).
• Demonstrated experience in people management to lead and develop a high-performing analytics team effectively (Mandatory skill).
• Strong knowledge of ETL processes for extracting, transforming, and loading data effectively and efficiently.
• Proven team leadership skills, with the ability to guide, motivate, and collaborate with team members to achieve goals.
• Expertise in data analytics, able to translate complex data into actionable insights through comprehensive data analysis.
• Experience in data engineering, including data architecture, for seamless data integration across various sources.
• Familiarity with building data pipelines to automate data flow, facilitating the analysis and reporting processes.

• Lead and manage analytics projects from inception to completion, ensuring the delivery of actionable insights.
• Collaborate with cross-functional teams to identify and address strategic business questions using data analysis.
• Design, develop, and maintain robust data pipelines to support data-driven decision-making processes.
• Drive continuous improvement in analytics processes and contribute to the enhancement of reporting systems.
• Mentor and guide team members to enhance their analytical skills and career growth within the organization.
• Ensure the integrity and quality of data by implementing best practices in data governance and data management.
• Communicate insights and recommendations to stakeholders through compelling visualizations and presentations.
• Identify opportunities for automation and optimization in data processes to improve efficiency and accuracy.