Senior Data Analyst

🏢 Brightwheel
📍 Remote · Brazil
💰 $71,000 / year
📅 Posted Sep 14, 2026 · via RemoteIO
🏷 Data Analysis, SQL, Business Intelligence, Data Transformation, AI
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Our Mission and Opportunity
Early education is one of the most important determinants of childhood outcomes, a critical support for working families, and a $175B market that remains underserved by modern technology. Brightwheel is the largest, fastest growing, and most loved platform in early ed, trusted by millions of educators and families every day. We are a three-time Cloud 100 company , backed by top investors including Addition, Bessemer, Emerson Collective, Lowercase Capital, Notable Capital, and Mark Cuban.
Our Team
Our team is passionate, talented, and customer-focused. We embody our Leadership Principles in our work and culture. We are a distributed team with remote employees across every US time zone, as well as select offices in the US and internationally.
Who You Are
You are a highly analytical and technically proficient Senior Data Analyst with a proven track record of using data to inform decision-making in a fast-paced, high-growth environment. As a natural problem-solver, you excel at translating complex data into clear, actionable insights for both technical and non-technical stakeholders. You've played a key role supporting the analytics function in a high-growth environment at a prior company, leveraging AI to drive business outcomes.
You are a generalist at heart — equally comfortable partnering with Finance to reconcile operating and financial views, standing up reporting for external partners, and stitching the full customer lifecycle into a single narrative for leadership. You've earned the trust of leadership and external stakeholders by holding a high bar for accuracy.
What You’ll Do
- You are primarily responsible for Finance and Post-Sales analytics — owning the reporting layer that bridges Sales and Post-Sales, and producing the board-ready and externally-facing reporting our leadership team and government partners depend on.

- Partner directly with Finance and senior leadership to build, validate, and own the metrics that feed board reporting, AOP planning, and monthly/quarterly business reviews — including MRR/ARR, churn and retention, and revenue attribution across customer segments.

- Serve as the connective tissue between Sales and Post-Sales reporting, building a consistent view of the customer lifecycle from pipeline through activation, retention, and expansion, and resolving definitional gaps between the two.

- Own our external partnership reporting portfolio end-to-end, including customer-facing dashboards — translating partner data requirements into models and dashboards, and ensuring the data we hand to an external audience is accurate, appropriately permissioned, and self-service.

- Build, automate, and maintain dashboards and reports in our BI tools (Sigma + Tableau) to track key cross-funnel KPIs for leadership and cross-functional stakeholders.

What you’ve done :
- 4+ years of experience in data analytics, business intelligence, or a relevant technical role — preferably with Finance, Fintech, BizOps, or Retention domain experience.

- Advanced proficiency in core technical analytics , including SQL (writing complex queries and manipulating data), Data Transformation (maintaining data models with tools like dbt), and Business Intelligence/Visualization with tools like Sigma or Tableau.

- Demonstrated experience in creating and maintaining data models and pipelines end-to-end that served as the single source of truth.

- A history of building and owning a suite of dashboards and reports in a BI tool, consistently delivering valuable insights to business stakeholders.

- Excellent communication skills for stakeholder management, including acting as a trusted consultant and effectively translating technical information for all levels of an organization.

- Demonstrated fluency using AI to fundamentally change how you work — not just to speed up tasks, but to automate routine workflows, accelerate analyses, and build reusable tools and data infrastructure.

- Bonus:

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