Senior Data Analyst

Summary

Join Brightwheel's Analytics team as a Senior Data Analyst to drive growth and inform business decisions with data insights.

Requirements

• 3-4 years experience in analytics, business intelligence, or other relevant technical role, or 1-2 yrs of analyst experience paired with 1-2 years of consulting or other directly relevant experience
• Highly proficient in SQL with working knowledge of optimizing and debugging complex queries (Preferred: ETL experience)
• Proficiency in one or more analytics visualization tools (e.g., Tableau, Sigma)
• Must have experience deriving insights from complex data and dealing with relational databases
• Working knowledge of data engineering principles: understanding how to store, manage, & retrieve large-scale data sets from multiple systems for analysis or operations
• Demonstrated ability to be a trusted & respected business partner to all levels in the organization, and the ability to translate data into clearly actionable next steps for internal teams
• Ownership mindset: Must be able to initiate, prioritize and drive projects to completion with minimal guidance

Responsibilities

• Use quantitative data analysis across multiple data sources to provide insights to help business and product leaders understand critical business questions - including identifying and quantifying the key levers that impact the business
• Identify analyses and key metrics to drive and inform our GTM strategy and track progress against company initiatives
• Report against company initiatives by identifying key metrics and building executive-facing dashboards to track progress across the business, including areas like Marketing, Sales, Product, and Customer Success
• Build scaled analytical solutions for the business partnering closely with Data Engineering to simultaneously ensure sustainable sources in the data warehouse
• Partner closely with your internal customers to intake, prioritize and deliver against new report requests and analysis/business questions
• Collaborate with cross-functional operational teams to drive continuous data discovery and usage

Benefits

• Premium medical benefits
• Dental benefits
• Vision benefits
• Generous paid parental leave
• Flexible paid time off policy
• Monthly wellness and productivity stipend
• Learning & Development stipend