Early education is one of the greatest determinants of childhood outcomes, is a must for working families, and has a lasting social and economic impact. Brightwheel’s vision is to enable high quality early education for every child — by giving teachers meaningfully more time with students each day, engaging parents in the development of their kids, and supporting the small businesses that make up the backbone of the $175 billion early education market. Brightwheel is the most loved technology brand in early education globally, trusted by thousands of educators and millions of families.

We are a fully remote team with employees across every time zone in the US. Our team is passionate, talented, and customer-focused. Our exceptional investor group includes Addition, Bessemer Venture Partners, Chan Zuckerberg Initiative, GGV Capital, Lowercase Capital, Emerson Collective, and Mark Cuban. 

We believe that everyone—from our employees to the students, teachers, and administrators we serve— should be given the opportunity to learn and thrive, whatever their background may be. We celebrate diversity in all forms because it allows our team and the communities we serve to reach their full potential and do their best work. From decision making, to how we operate, we ground ourselves in our Leadership Principles every day. 

Brightwheel is seeking an experienced analytics manager to lead our sales analytics function. We are looking for a business thought partner that can help transform Brightwheel into a data-first company. You are a highly structured thinker that can break down and simplify complex business problems into quantifiable measures. Additionally, you believe in the impact leveraging technology and data techniques can have in scaling internal operations and in turn accelerating growth. Most importantly, you believe this approach can positively impact our customer experience. You will work alongside a talented team of data professionals, which includes a mix of senior and junior analysts, to build on and improve our operational data models that power our data engine. 

What You’ll Do

• Be a strong business thought partner, supporting senior leaders at the company in decision making through insights, analytics and scalable reporting. 
• Manage, mentor, and build a high performance team of analysts
• Leverage deep technical acumen to answer our most pressing business questions through compelling narratives that blend quantitative and qualitative measures. This includes front-end (visualizations, reporting) and back-end (pipeline development, data transformation) data capabilities
• Dive deep and become an expert in our available datasets while also proactively identifying gaps and prioritizing the instrumentation of new metrics that will give Brightwheel greater visibility into its customers and business performance.
• Act as a bridge between the business and data engineers to simultaneously ensure sustainable data models in the data warehouse.
• Partner closely with your internal customers to field, prioritize and deliver against new data requests and business questions.
• Be a champion of data-driven decision making at Brightwheel as a whole and act as a mentor to your analytics peers.

Qualifications, Skills, & Abilities

• 5+ years of experience in analytics, business intelligence, or other relevant data roles.
• 2+ years as a player/coach leading data or business analysts.
• Advanced SQL skills, with the ability to create, optimize and debug complex queries.
• Excellent Program Management skills, initiating, prioritizing and driving projects to completion with minimal guidance. 
• Proven experience in impacting business outcomes, directly or indirectly, flexing both business and technical acumen to achieve those results.
• Experience building ETL workflows, with experience using Airflow and dbt highly preferred. 
• Experience in building pipelines that ingest data from key tools used in SaaS businesses (Salesforce, Hubspot, etc).
• Experience using programming languages such as Python is a plus. 
• 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.

$118,000 - $169,000 a year