Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in Business Intelligence or Data Analytics.
• 4 years of experience in SQL and Data Visualization (e.g., Looker, Tableau, Power BI, Qlik, or similar technologies).

Preferred qualifications:

• Master's degree in a relevant field or equivalent practical experience.
• 6 years of experience creating dashboards, manipulating datasets, and performing data analysis using SQL and data visualization tools (e.g., Looker, Tableau, PowerBI, Data Studio, etc.).
• Experience converting ambiguous business requests into technical requirements for insightful data products.
• Experience working with support or contact center data.
• Experience with data warehousing or data modeling concepts.
• Experience with big data technologies (e.g., Hadoop, Spark, Python, or R).

About the job

YouTube Analytics and Decision Support (ADS) powers sound business decisions through scaled data and insights for YouTube's business organization. Support ADS improves the experience for YouTube's partners, creators, and users seeking support on YouTube product surfaces, social media engagement, or 1 to 1 channels by empowering Creator Support, Consumer Support, Scaled/Social Support, Vendor Operations, and Support Go-To-Market Solutions through data.

As a Senior Business Intelligence Analyst, you will define, implement, and operationalize key performance indicators (KPIs) using ADS metrics maturity framework. You will own strategy for shared analyst infrastructure (e.g., code base, business intelligence stack), and continually innovate on infrastructure for the analyst community to utilize. As new products are launched, communicate to all relevant stakeholders, and solicit, record, prioritize, and incorporate relevant feedback on metrics platforms. You'll also be expected to advocate for technical best practices within the analyst community on pipelines, dashboards, code review practices, and data concepts, and lead technical training for business analysts.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.

The US base salary range for this full-time position is $111,000-$163,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Lead development and deployment of "single source of truth" centralized reports, dashboards, models, and tools to analyze, report, and present partnerships and operations related data that is associated with YouTube Support organization.
• Work with User Support teams to determine key business questions and pain points in existing processes where ADS data products can improve YouTube support outcomes and convert 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 Business Technology to release product features which empower stakeholders to improve YouTube support outcomes.
• Deliver data products to User Support teams which drive better decision-making. Aid in the creation of key performance indicators (KPIs) and key results for a selected business domain. Make strategic and operational recommendations to achieve goals.