Business Intelligence Analyst, Level 2

• Provide actionable insights into strategic operations initiatives through quantitative analysis, technical systems, and analytics leadership
• Define OKRs and design and build insight-generating reports and dashboards
• Partner cross-functionally with technical program managers to source and process product data
• Use SQL and data visualization tools to communicate product insights and recommendations
• Standardize, maintain, and document metrics, models, datasets, and dashboards using Tableau, Confluence, Acryl, and code
• Source and leverage data for time-critical and strategic decision-making
• Partner with leaders to roll out and drive adoption of dashboards and metrics
• Monitor and improve product performance with product leadership
• Measure and analyze product value and value propositions through metrics
• Collaborate with data producers and consumers to ensure data quality and availability after product launches
• Serve as a trusted advisor and foster stakeholder partnerships

• 3-5 years of professional experience performing quantitative analysis, building dashboards and reports, and converting ambiguous, messy data into actionable results
• Ability to think strategically and initiate, refine, and complete projects with minimal guidance in an ambiguous environment
• Excellent verbal and written communication skills
• Proficiency writing, developing, and performing data deep dives and complex queries in SQL and SQL-like relational data languages
• Minimum 2 years of Tableau experience developing and managing dashboards
• Demonstrated ability to build reports, metrics, and dashboards for analytics projects
• Experience with data extraction, cleansing, mapping, loading, and operationalizing workflows in production
• Familiarity or hands-on experience with Generative AI tools is a plus
• Experience in telephony, email, messaging, social media, or other electronic communications is a plus
• Experience or familiarity with data warehousing, ETL processes, and distributed computing technologies is a plus
• Experience with BI reporting tools like Looker is a plus
• Experience with unstructured data is a plus

• Competitive pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• Retirement savings program
• Support for employee volunteering and donation efforts
• Remote-first work arrangement
• Occasional travel opportunities for project or team in-person meetings