Staff Business Intelligence Engineer, Headspace Health

• The ideal candidate is a technically savvy and innovative thinker, who likes to use the latest big data technologies to solve complex business problems
• 10+ years of strong SQL/Tableau/Looker development experience
• 10+ years of experience in data modeling, ETL development, data warehousing, visual report development
• 10+ years of hands on experience in highly collaborative analytics environments
• 10+ years of experience working with big data technologies (Redshift, S3, Databricks, Datalakes, DBT, etc)
• 3+ years experience working with DBT and exposure to creating a semantic layer
• Knowledge of data management fundamentals and data storage principles
• Strong presentation skills to executive leadership teams
• Strong project management experience leading multiple quarter long projects
• Experience in leading and mentoring junior team members with clear technical guidance in all these above areas

Desirable

• We are seeking a Staff Business Intelligence Engineer to help build a world class reporting infrastructure
• This role will be providing data expertise in developing efficient, reliable, and scalable BI tools and systems
• In the short term, the focus will be on building a dynamic single source of truth for business performance reporting, enabling self-service access and accelerating data-driven decision-making
• Long term projects will include end to end architecture of data warehouse solutions, data democratization, etc
• Gather business requirement documents and able to propose technical solutions and prototypes that can answer business questions and fostering self-service via your solutions
• Experience with event level data to create aggregated data tables for analysis and reporting
• Familiarity with Mental Health Care and/or Marketplace Operations metrics (completed appointment rate, cancellation rate, time to earliest offered appointments, etc)
• Strong DBT modeling experience in production environments
• Exposure to BI Platform migration processes and strategies
• Triage and optimize data reporting ETL via collaboration with data analysts and data engineers to design and build long term implementations
• Collaborate with cross functional leads to build out comprehensive reporting suite that enables both analysts and business users to make fast decisions
• Passionate about collaborating with business partners, perform report showcase/roadshow to evangelize reporting utility and influence
• Proactively identify areas of improvement within data modeling process, documentation, and reporting development process
• Willing to learn best in class technologies and BI solutions to set best practices and standard of procedures for team members