Grid→
Product Analyst | San Francisco on-site at Grid in San Francisco, CA
Entry LevelOn-siteFull-timeSan Francisco, CA$70k–$85k/yr
Skills
sqlmodern data toolingai toolspythonexperimentationstatisticsa/b testingcausal inferenceproduct intuitioncuriosityhigh agency
Job Description
Summary: Grid is a company dedicated to leveling the financial playing field by creating innovative financial products. They are seeking a data-driven Product Analyst to enhance product strategy and user insights, ultimately impacting millions of users' financial futures.
Responsibilities:
- Own end-to-end decision systems, not just analysis—design, build, and iterate on tools that drive product and growth decisions
- Use AI (e.g., LLMs, copilots, automation workflows) to automate analysis, reporting, and insight generation
- Build lightweight internal data products and tools (e.g., self-serve dashboards, GPT-powered interfaces, experimentation tools) that scale decision-making across the org
- Partner with product, engineering, and growth to define success metrics and design experiments, while leveraging AI to accelerate test design and interpretation
- Identify opportunities across the funnel (acquisition, activation, retention, monetization) and rapidly prototype solutions using data + AI
- Translate complex datasets into clear, high-leverage recommendations, often via automated or semi-automated systems
- Continuously improve data infrastructure, instrumentation, and workflows to enable faster, higher-quality decisions
- Develop a deep understanding of our users and their financial behavior, and encode that understanding into scalable models and tools
Required Qualifications:
- Strong proficiency in SQL and comfort working with large datasets
- Experience with modern data tooling (e.g., Looker, BigQuery, etc.)
- Hands-on experience using AI tools (e.g., ChatGPT, Claude, Cursor, etc.) to write and optimize queries, automate workflows, build internal tools or prototypes
- Ability to build, not just analyze: scripting (Python preferred), building lightweight apps, tools, or automations
- Solid understanding of experimentation and statistics (A/B testing, significance, causal inference)
- Strong product intuition and ability to prioritize high-impact opportunities
- Excellent communication skills with the ability to distill complex insights into clear recommendations
- High agency and curiosity—someone who looks for ways to eliminate manual work and scale themselves with AI
- Degree from a top-tier (Tier 1) university in a quantitative or technical field (e.g., CS, Math, Economics, Engineering)
- Ability to work out of our San Francisco office
Required Skills: SQL, Modern data tooling, AI tools, Python, Experimentation, Statistics, A/B testing, Causal inference, Product intuition, Curiosity, High agency
Benefits: Equity, Medical, Dental, Vision, 401K, Life Insurance
Benefits
Equity
Medical
Dental
Vision
401K
Life Insurance