Data Analyst

WindfallSan Francisco, CA
3d$90,000 - $120,000

About The Position

At Windfall, data isn't just a resource—it’s our product. We are on a mission to democratize access to sophisticated people insights, transforming how organizations understand and engage with their audiences. By leveraging a vast and proprietary data ecosystem, we empower non-profits to exceed their fundraising goals and commercial enterprises to maximize their marketing ROI through precision and intelligence. We’re looking for a Data Analyst to help us unlock the full potential of our unique data assets. In this role, you’ll collaborate with a talented cross-functional team of engineers and scientists to solve complex problems, advance your analytical toolkit, and deliver measurable impact for our customers. We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.

Requirements

  • Bachelor’s degree
  • 2-4 years of professional work experience (including internships) in an Analyst role
  • Proficient in SQL
  • Collaborative team-focused attitude with a strong desire and learn new things and support the business
  • A fierce sense of ownership and responsibility in one’s work
  • Ability to translate a business problem into technical steps, and data-driven insights into recommendations
  • Demonstrates attention to detail

Nice To Haves

  • Demonstrated experience building dashboards
  • Basic Python experience

Responsibilities

  • Aggregate data from several sources and conduct data research to generate accurate analysis to support our product development.
  • Generate visualizations leveraging different technologies to be included in slide decks and dashboards.
  • Influence internal stakeholders by constructing slide decks from inception and effectively communicate results.
  • Deeply understand and document structures and processes that make up our data pipeline.
  • Investigate the quality and relationships of new and existing data sources.
  • Perform analyses, extract insights, and make recommendations on next steps.
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