Okay, I've searched for Data Analyst roles in San Francisco, CA requiring 2-4 years of experience, a Bachelor's degree, proficiency in SQL, and full-time schedule. I have found 137 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Analyst role at Windfall centers on transforming complex people data into actionable insights that directly support both product development and client success, particularly in sectors like non-profits and commercial marketing. This role requires a candidate who is not just technically skilled with SQL and data visualization tools, but who also deeply understands business contexts to translate analytical findings into strategic recommendations. The fundamental purpose is to master Windfall’s rich and multifaceted data assets—mapping their structure, quality, and relationships—to enhance the company’s data products and drive measurable impact for users. Collaboration and clear communication are critical given the cross-functional nature of this position; the analyst will need to influence stakeholders across analytics, engineering, and client-facing teams through well-constructed reports and presentations. Success in this role means owning the full lifecycle of data problem-solving—from identifying data quality issues and performing insightful research to delivering visualizations that tell compelling stories. The preference for Python experience and dashboard-building skills signals a need for continuous technical growth and the ability to empower internal teams with self-service analytical tools. Ultimately, the analyst must operate with a high sense of responsibility and curiosity, innovating within a fast-evolving AI-driven environment where clarity, trust, and impact are prioritized.

Company Analysis:

Windfall operates at the intersection of people intelligence and AI, positioning itself as a transformative force that democratizes access to advanced data resources for go-to-market teams. As a growing player trusted by over 1,500 organizations, Windfall inhabits a dynamic space where innovation and integrity drive its market relevance. The company culture values transparency, excellent communication, and meaningful impact, all of which shape a work environment that expects its employees to own their contributions fully and work collaboratively. For a data analyst, this means joining a mission-oriented team where their insights must resonate beyond number-crunching to actively guide business strategy and product evolution. The cross-disciplinary team setup and emphasis on AI-infused data products suggest a workplace that blends technical rigor with an entrepreneurial mindset. This role likely offers moderate visibility with leadership through impactful presentations and cross-functional projects, providing a platform to influence company-wide decision-making. Overall, Windfall's commitment to ethical data use, innovation, and client success aligns a data analyst’s work tightly with larger strategic goals, inviting professionals who seek a purposeful, growth-oriented setting where their analytical contributions directly enhance both product excellence and customer outcomes.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to translate a complex business problem into technical steps. How did you approach it and what was the outcome?
• Behavioral: Describe a situation in which you identified a data quality issue. How did you detect it and what steps did you take to resolve it?
• Behavioral: How have you influenced stakeholders who had different levels of technical understanding? Can you give an example of how you communicated insights effectively?
• Behavioral: Share an experience where you took ownership of a project or task that required going beyond your initial responsibilities. What motivated you and what was the impact?
• Technical: How do you typically design and implement data pipelines to ensure data integrity and usability for analysis?
• Technical: Walk me through your process of building a dashboard for a non-technical audience. What tools have you used and how do you ensure clarity and actionability?
• Technical: Describe your experience writing and optimizing SQL queries in the context of large and complex datasets.
• Technical: How do you leverage Python in your data analysis workflow? Can you provide examples of libraries or techniques you've used?
• Situational: Imagine you are given multiple disparate data sources with inconsistent schemas and partial overlaps. How would you approach aggregating this data for a client-facing report?
• Situational: If you notice your delivered analysis does not align with stakeholder expectations, how would you address the discrepancy while maintaining trust?
• Situational: Suppose you are asked to quickly generate visualizations to support a critical product pitch but a key data source has unresolved quality problems. What would be your immediate next steps?
• Company Fit: Why are you interested in Windfall's mission to democratize access to people data and insights?
• Company Fit: How do you see your values and working style aligning with Windfall’s core values, especially regarding transparency and making a difference every day?
• Company Fit: What excites you most about working at a data-driven AI company focused on go-to-market intelligence?
• Questions to Ask Interviewer: Can you describe how data analysts typically collaborate with data scientists and engineers at Windfall?
• Questions to Ask Interviewer: How does Windfall measure success for this analyst role in the first 6 to 12 months?
• Questions to Ask Interviewer: What are some upcoming challenges or initiatives the analytics team is focusing on that this role would directly support?