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About the role
As an Analytics & Insights Tech Lead at Google Operations Center, you will play a crucial role in providing strategic and technical guidance to the gData GOC Business Intelligence team. Your main responsibility will be to support the team in developing the data infrastructure to support Tech Ads. Here's a detailed overview of your role: Responsibilities: - Lead the team and collaborate with Business Analysts, Go-To-Market, and other business teams to create data and visualization solutions. - Work closely with stakeholders to tackle data-related technical challenges and support their data infrastructure needs. - Provide technical guidance, prioritization, and mentorship to data analysts for efficient project delivery. - Engage in troubleshooting with the team to address urgent issues and ensure timely resolution. - Implement internal process improvements for scalability, data delivery enhancement, and automation. - Build data pipelines iteratively to provide insights at scale. - Develop a deep understanding of Google data structures. - Integrate data sources, perform impactful calculations, and maintain production pipelines. - Communicate effectively with technical stakeholders, explaining technical design, approach, and solutions. - Utilize strong critical problem-solving skills to resolve data technology-related issues. Minimum Qualifications: - Bachelor's degree in Engineering, a related field, or equivalent practical experience. - Experience in cross-functional collaboration, agile software development, and product lifecycle management. - 8-10 years of experience in SQL, Data Visualization (Tableau, Power BI, Data Studio), and ETL processes. - Rich data technology experience encompassing data engineering, data pipeline building, and scripting. - Experience in mentoring and coaching technical teams, collaborating cross-functionally with technical and business stakeholders. - Expert-level proficiency in writing complex SQL queries across various databases. - Intermediate knowledge of data warehousing concepts and reporting/analytics tools. - Strong critical thinking and problem-solving skills. Benefits: - Competitive wages and comprehensive healthcare coverage. - Support for family with parental leave policies and insurance benefits. - Onsite employees can enjoy free meals, snacks, and fun experiences. - Commitment to diversity and equal employment opportunities. Please note that the information collected as part of your application process is subject to Google Operations Center's Applicant and Candidate Privacy Policy. Thank you for your interest, and our recruitment team will reach out if your profile aligns with the role. As an Analytics & Insights Tech Lead at Google Operations Center, you will play a crucial role in providing strategic and technical guidance to the gData GOC Business Intelligence team. Your main responsibility will be to support the team in developing the data infrastructure to support Tech Ads. Here's a detailed overview of your role: Responsibilities: - Lead the team and collaborate with Business Analysts, Go-To-Market, and other business teams to create data and visualization solutions. - Work closely with stakeholders to tackle data-related technical challenges and support their data infrastructure needs. - Provide technical guidance, prioritization, and mentorship to data analysts for efficient project delivery. - Engage in troubleshooting with the team to address urgent issues and ensure timely resolution. - Implement internal process improvements for scalability, data delivery enhancement, and automation. - Build data pipelines iteratively to provide insights at scale. - Develop a deep understanding of Google data structures. - Integrate data sources, perform impactful calculations, and maintain production pipelines. - Communicate effectively with technical stakeholders, explaining technical design, approach, and solutions. - Utilize strong critical problem-solving skills to resolve data technology-related issues. Minimum Qualifications: - Bachelor's degree in Engineering, a related field, or equivalent practical experience. - Experience in cross-functional collaboration, agile software development, and product lifecycle management. - 8-10 years of experience in SQL, Data Visualization (Tableau, Power BI, Data Studio), and ETL processes. - Rich data technology experience encompassing data engineering, data pipeline building, and scripting. - Experience in mentoring and coaching technical teams, collaborating cross-functionally with technical and business stakeholders. - Expert-level proficiency in writing complex SQL queries across various databases. - Intermediate knowledge of data warehousing concepts and reporting/analytics tools. - Strong critical thinking and problem-solving skills. Benefits: - Competitive wages and comprehensive healthcare coverage. - Support for family with parental leave policies and insurance benefits. - Onsite employees can enjoy free meals, s