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Lead Data Analyst

Brightwheel logo

Location
United States
Brightwheel

Job Description

Our Mission and OpportunityEarly 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.
Our TeamWe 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.
Who You AreBrightwheel is seeking an experienced analytics lead to support across a wide range of GTM functions including sales, customer success and marketing. 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.
  • 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, data engineering or other relevant data roles.
  • 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.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Brightwheel is committed to creating a diverse and inclusive work environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Advice from our career coach

As an experienced analytics lead at Brightwheel, it is crucial to possess strong business acumen, technical skills, and a customer-focused mindset. To stand out as a successful applicant for this role, here are some tips and insights:

  • Demonstrate your ability to be a strategic business partner by providing insights, analytics, and scalable reporting to support decision-making.
  • Showcase your deep technical acumen by answering complex business questions through a blend of quantitative and qualitative measures.
  • Highlight your experience in building ETL workflows and working with tools like Airflow and dbt to showcase your data engineering skills.
  • Emphasize your proficiency in SQL, programming languages like Python, and analytics visualization tools such as Tableau or Sigma.
  • Showcase your experience in deriving insights from complex data and working with relational databases to emphasize your analytical skills.
  • Illustrate your ability to prioritize and drive projects to completion with minimal guidance to showcase your program management skills.
  • Highlight any experience with data pipelines in SaaS businesses, as well as your understanding of data engineering principles.
  • Ensure you are authorized to work for any employer in the U.S., as Brightwheel does not sponsor employment Visas at this time.
  • Emphasize your commitment to creating a diverse and inclusive work environment to align with Brightwheel's values as an equal opportunity employer.

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