4+ years of experience working with data as a Data Scientist, Product Analyst, or Analytics Engineer in an applied business setting
Strong foundation in SQL, Python (or R), statistics, and machine learning
Experience designing and evaluating experiments, predictive models, and other statistical analyses to inform product decisions
Experience building scalable data assets, metrics, and analytical frameworks on modern cloud data platforms (e.g., Snowflake, dbt)
Deep experience with data visualization
Experience using modern AI-assisted analytics tools or LLM-powered workflows to accelerate analysis and improve decision making
Deep understanding of product analytics, customer behavior, and B2B SaaS growth metrics
Experience partnering closely with Product, Engineering, Design, and Customer Success throughout the product lifecycle
Demonstrated ability to translate ambiguous business problems into meaningful analytical frameworks and actionable recommendations
Passion for building reusable analytical systems that increase organizational leverage rather than one-off analyses
Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact