About The Position

Change.org is seeking a Senior Business Intelligence Analyst, Revenue & Product to help build and scale a modern, AI-first analytics function. Reporting to the Director of Finance & Business Intelligence, you’ll partner closely with Product, Finance, Growth, and Leadership teams to deliver the dashboards, models, and analyses that drive strategic business decisions. Change.org is the world’s largest platform for democracy. At a time when dissatisfaction with democracy globally is at an all-time high, we’re investing heavily in using AI to build the most powerful tools in the world to give people greater voice, while bringing people across the political spectrum together to identify shared solutions. Our core petitions platform, used by more than 100 million people annually, is growing rapidly - and we are rebuilding it from the ground-up using new tools to turn anyone into a powerful civic leader on the issues they care about. Soon we will launch a new platform to identify the >80% of issues that most people agree on, locally and nationally, and to mobilize hundreds of millions of people to advocate for those common-ground solutions. To realize this vision, we’re expanding the most talented team in the world at the intersection of technology and social impact - all focused every day on building healthier democracies globally. This new Senior Business Intelligence Analyst is a foundational role with significant ownership. You’ll help shape how we measure revenue performance, product engagement, forecasting, experimentation, and business health overall, while also helping evolve the team’s analytics stack and workflows. We’re looking for someone with strong analytical rigor, business judgment, and an AI-native workflow who instinctively uses LLMs, copilots, and automation to move faster and work smarter.

Requirements

  • AI-native working style. Instinctively reach for LLMs, copilots, and automation in daily analytics work. Can articulate, with specifics, where AI has accelerated your output and where it hasn't.
  • Advanced SQL. Write complex queries from scratch, optimize slow ones, and debug data issues at the source. With or without AI assistance, you know what good SQL looks like.
  • Financial fluency. Comfortable with budget vs. actuals, cohort analysis, revenue forecasting, and conversion funnels.
  • Strong data quality instincts. When numbers don't match across sources, you dig in until you understand why.
  • Clear communication. You can write up a finding or walk someone through an analysis without overcomplicating it.
  • Self-direction and ownership. Comfortable operating in a small team with daily standups, real autonomy, and direct accountability for your work.
  • 6+ years in BI, analytics, or a data role, with meaningful exposure to revenue or financial metrics.
  • Hands-on dbt experience in a production environment.
  • Proficiency with Looker and Redash (or comparable BI tools), with a track record of building dashboards people actually trust and use.
  • Working knowledge of a cloud data warehouse, ideally Redshift.
  • Daily use of AI tools in your analytics workflow, with concrete examples of how they've changed how you work.

Nice To Haves

  • Python for data analysis or automation.
  • Google Sheets / Apps Script proficiency.
  • Experience building internal tools or automations using AI APIs (OpenAI, Anthropic, or similar).
  • Experience working in a subscription or membership-based business.

Responsibilities

  • Own revenue reporting end-to-end: membership metrics, cohort performance, monetization trends, and funnel conversion. Use AI tooling to accelerate development and catch anomalies a human might miss.
  • Run deep-dive analyses on the levers that matter: Signs/QP trends, PPMU conversion, country-level dynamics, and product performance. Pair rigor with speed.
  • Build and evolve dashboards in Looker and Redash that people actually trust and use. Prototype quickly, validate carefully, ship often.
  • Co-own forecasting models alongside the Director: stress-testing assumptions, running scenarios, and surfacing patterns in cohort behavior.
  • Perform variance analysis between actuals and budget, translating discrepancies into clear, stakeholder-ready narratives.
  • Write clean, performant SQL in Redshift and maintain dbt models that power reporting. AI helps with the boilerplate; your judgment shapes the output.
  • Propose metric definitions and KPI frameworks in partnership with leadership, and push back when something we're measuring doesn't actually answer the question.
  • Interpret A/B test results and partner with product teams on measurement approaches, with honest reads of what experiments do and don't tell us.
  • Support product analytics for Growth and other squads, often by building lightweight tools or automations that scale your reach beyond what one analyst could do directly.

Benefits

  • Full time remote role
  • Compensation philosophy is based on pay equity.
  • Salaries are determined before launch based on a predetermined salary scale, the level on that scale and the cost of labor for that location.
  • Benefits and perks also vary based on location.
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