Data Analyst

San Francisco,San FranciscoFull-Timemid

Data ScienceData AnalystDataData & AI

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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.

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.

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