Business Intelligence Delivery Lead, Data Products, YouTube
Business Intelligence Delivery Lead, Data Products, YouTube
Job Description
Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in system architecture and code comprehension reading in one programming language (Java, C++, Python, etc.). 5 years of experience troubleshooting technical issues for internal/external partners or customers. 5 years of experience with data analysis and SQL/MySQL. 5 years of experience in analytics and analytics development. Experience with relational databases including SQL queries, database definition, and schema design. Experience with business intelligence and data visualization tools including Looker, Tableau, or PowerBI. Location: Bengaluru, Karnataka, India. Experience level: Mid. YouTube Analytics and Data Science drives robust business decisions through analysis, data democratization, and actionable insights. The Users, Partnerships, and Creators Data Products team enhances the experience of front-line strategic partner managers and support operations. This is achieved by developing scalable data products and delivering cogent insights for partner engagement, creator and consumer support and go-to-market strategies across YouTube's relationships with creators, brands, media companies and distributors. In this role, you will lead the end-to-end development of our centralized reporting and analytics solutions. You will partner with Partnerships, Support, and Go-to-Market teams to translate business needs into impactful data products that drive better decision-making at scale. You will own the delivery of these solutions while advocating technical best practices among our community of BI analysts and data engineers.
Locations
- Bengaluru, Karnataka, India
Salary
Estimated Salary Rangemedium confidence
45,000,000 - 70,000,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- System Architectureintermediate (Technical)
- Code Comprehensionintermediate (Programming)
- Troubleshooting Technical Issuesintermediate (Technical Support)
- Data Analysisintermediate (Analytics)
- SQL/MySQLintermediate (Database)
- Analytics Developmentintermediate (Analytics)
- Relational Databasesintermediate (Database)
- SQL Queriesintermediate (Database)
- Database Definitionintermediate (Database)
- Schema Designintermediate (Database)
- Business Intelligence Toolsintermediate (Analytics)
- Data Visualizationintermediate (Analytics)
- Lookerintermediate (Tools)
- Tableauintermediate (Tools)
- PowerBIintermediate (Tools)
- Dashboard Creationadvanced (Analytics)
- Dataset Manipulationadvanced (Data Processing)
- Python APIsintermediate (Programming)
- Python Utilitiesintermediate (Programming)
- Data Pipelinesintermediate (Data Engineering)
- Business to Technical Requirementsintermediate (Analysis)
Required Qualifications
- Bachelor’s degree (degree)
- System architecture and code comprehension (experience in Programming (Java, C++, Python), 5 years)
- Troubleshooting technical issues (experience in Internal/external partners or customers, 5 years)
- Data analysis (experience in SQL/MySQL, 5 years)
- Analytics and analytics development (experience, 5 years)
- Relational databases, SQL queries, database definition, schema design (experience)
- Business intelligence and data visualization tools (experience in Looker, Tableau, PowerBI)
- Master’s degree (degree)
- Creating dashboards, manipulating datasets, data analysis (experience in SQL and data visualization tools, 10 years)
- Working with product adoption, business, or media consumption data (experience)
- Python-based APIs and utilities (experience)
- Programming languages for data pipelines (experience in Python, Java, C++)
- Converting business requests into technical requirements (experience in Data products)
- Deploying data products (experience in Cross-functional delivery)
Responsibilities
- Lead the end-to-end development and deployment of centralized reports, dashboards, models, and tools to analyze and present data related to partner management, creator and consumer support.
- Collaborate with Partnerships, Consumer and Creator Support Operations, and Go-to-Market (GTM) teams to identify key business questions and process pain points where data products can enhance YouTube's GTM outcomes. Translate ambiguous business requests into technical requirements for insightful data products.
- Deliver and contribute to a prioritized roadmap, working cross-functionally with Data Infrastructure (DI) and Engineering to release product features that empower stakeholders to improve YouTube's support outcomes.
- Deliver data products to Partner Management and User Support teams to drive better decision-making. Assist in creating Key Performance Indicators and key results for the YouTube Business Organization, and provide strategic and operational recommendations to achieve goals.
Benefits
- Equal Opportunity: Google is proud to be an equal opportunity and affirmative action employer committed to building a representative workforce and providing equal employment opportunity regardless of protected characteristics.
- Culture: Creating a culture of belonging at Google.
- Accommodations: Accommodations available for applicants with needs; complete the Accommodations for Applicants form.
- Global Collaboration: English proficiency required for efficient global collaboration and communication.
Tags & Categories
Business Intelligence Delivery Lead, Data Products, YouTube
Business Intelligence Delivery Lead, Data Products, YouTube
Job Description
Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in system architecture and code comprehension reading in one programming language (Java, C++, Python, etc.). 5 years of experience troubleshooting technical issues for internal/external partners or customers. 5 years of experience with data analysis and SQL/MySQL. 5 years of experience in analytics and analytics development. Experience with relational databases including SQL queries, database definition, and schema design. Experience with business intelligence and data visualization tools including Looker, Tableau, or PowerBI. Location: Bengaluru, Karnataka, India. Experience level: Mid. YouTube Analytics and Data Science drives robust business decisions through analysis, data democratization, and actionable insights. The Users, Partnerships, and Creators Data Products team enhances the experience of front-line strategic partner managers and support operations. This is achieved by developing scalable data products and delivering cogent insights for partner engagement, creator and consumer support and go-to-market strategies across YouTube's relationships with creators, brands, media companies and distributors. In this role, you will lead the end-to-end development of our centralized reporting and analytics solutions. You will partner with Partnerships, Support, and Go-to-Market teams to translate business needs into impactful data products that drive better decision-making at scale. You will own the delivery of these solutions while advocating technical best practices among our community of BI analysts and data engineers.
Locations
- Bengaluru, Karnataka, India
Salary
Estimated Salary Rangemedium confidence
45,000,000 - 70,000,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- System Architectureintermediate (Technical)
- Code Comprehensionintermediate (Programming)
- Troubleshooting Technical Issuesintermediate (Technical Support)
- Data Analysisintermediate (Analytics)
- SQL/MySQLintermediate (Database)
- Analytics Developmentintermediate (Analytics)
- Relational Databasesintermediate (Database)
- SQL Queriesintermediate (Database)
- Database Definitionintermediate (Database)
- Schema Designintermediate (Database)
- Business Intelligence Toolsintermediate (Analytics)
- Data Visualizationintermediate (Analytics)
- Lookerintermediate (Tools)
- Tableauintermediate (Tools)
- PowerBIintermediate (Tools)
- Dashboard Creationadvanced (Analytics)
- Dataset Manipulationadvanced (Data Processing)
- Python APIsintermediate (Programming)
- Python Utilitiesintermediate (Programming)
- Data Pipelinesintermediate (Data Engineering)
- Business to Technical Requirementsintermediate (Analysis)
Required Qualifications
- Bachelor’s degree (degree)
- System architecture and code comprehension (experience in Programming (Java, C++, Python), 5 years)
- Troubleshooting technical issues (experience in Internal/external partners or customers, 5 years)
- Data analysis (experience in SQL/MySQL, 5 years)
- Analytics and analytics development (experience, 5 years)
- Relational databases, SQL queries, database definition, schema design (experience)
- Business intelligence and data visualization tools (experience in Looker, Tableau, PowerBI)
- Master’s degree (degree)
- Creating dashboards, manipulating datasets, data analysis (experience in SQL and data visualization tools, 10 years)
- Working with product adoption, business, or media consumption data (experience)
- Python-based APIs and utilities (experience)
- Programming languages for data pipelines (experience in Python, Java, C++)
- Converting business requests into technical requirements (experience in Data products)
- Deploying data products (experience in Cross-functional delivery)
Responsibilities
- Lead the end-to-end development and deployment of centralized reports, dashboards, models, and tools to analyze and present data related to partner management, creator and consumer support.
- Collaborate with Partnerships, Consumer and Creator Support Operations, and Go-to-Market (GTM) teams to identify key business questions and process pain points where data products can enhance YouTube's GTM outcomes. Translate ambiguous business requests into technical requirements for insightful data products.
- Deliver and contribute to a prioritized roadmap, working cross-functionally with Data Infrastructure (DI) and Engineering to release product features that empower stakeholders to improve YouTube's support outcomes.
- Deliver data products to Partner Management and User Support teams to drive better decision-making. Assist in creating Key Performance Indicators and key results for the YouTube Business Organization, and provide strategic and operational recommendations to achieve goals.
Benefits
- Equal Opportunity: Google is proud to be an equal opportunity and affirmative action employer committed to building a representative workforce and providing equal employment opportunity regardless of protected characteristics.
- Culture: Creating a culture of belonging at Google.
- Accommodations: Accommodations available for applicants with needs; complete the Accommodations for Applicants form.
- Global Collaboration: English proficiency required for efficient global collaboration and communication.
Tags & Categories