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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in product analytics and experimentation, with a strong focus on A/B testing, causal inference frameworks, and user behavioral data analysis. Proficient in SQL, Python, and R, with experience in building data pipelines and integrating AI workflows to optimize product offerings.
Highest-signal resume keywords
Product AnalyticsA/B Testing FrameworksSQL ProficiencyPython ProgrammingUser Behavioral Data Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
A/B TestingCausal InferenceData Pipeline DevelopmentBehavioral Segmentation ModelingStatistical AnalysisData StorytellingCohort Retention ModelingConversion Funnel OptimizationMetric Layer ArchitectureAuditing AI-Generated Code
Soft Skills
Executive CommunicationTechnical MentorshipCross-Functional Collaboration
Tools & Technologies
SQLPythonRSnowflakeHexStreamlitQuartoDbtClaude CodeModel Context Protocol
Industry Keywords
B2B SaaSFinTechInsurTechPropTechConsumer Workflow SoftwareDual-Sided MarketplacesB2B2CReal Estate
Tech Stack
Tools & technologiesCloudPythonSnowflakeSQL
About the role
Key responsibilities & impact- Drive the product analytics and experimentation strategy for AppFolio's Resident experience business
- Optimize end-to-end enrollment and purchase funnels for resident insurance, rewards, and benefit offerings
- Build and implement causal inference and A/B testing frameworks to validate product hypotheses from product teams and AI agents
- Develop behavioral segmentation models to identify product-market fit signals, reduce cancellations, and improve insurance renewals and benefit utilization
- Integrate AI developer workflows, agentic coding assistants, and pipeline automation into team operations
- Establish auditing and QA practices for AI-generated code and workflows
- Architect standard metric layers and cross-product analytical frameworks as sources of truth for resident adoption and financial metrics
- Partner with Product, Engineering, Design, and other data scientists
- Conduct design and code reviews, provide technical mentorship, and share knowledge on complex statistical problems
Requirements
What you’ll need- 6+ years of data team experience specializing in product analytics, user behavioral data, and statistical analysis
- Advanced proficiency in SQL
- Strong programming skills in Python and/or R
- Deep familiarity querying relational database structures and cloud data warehouses, with Snowflake preferred
- Proven track record designing, analyzing, and scaling A/B testing and causal inference frameworks
- Demonstrated hands-on use of AI coding agents and agentic developer workflows, such as Claude Code, Model Context Protocol integrations, or custom skills
- Experience auditing and validating AI-generated code
- Strong executive communication and data storytelling skills
- Demonstrated success partnering cross-functionally with Product, Engineering, Design, and Business leaders
- Expertise in user behavioral data, cohort retention modeling, conversion funnel optimization, and complex A/B or causal experiments
- Experience building, transforming, and validating production data pipelines and centralized metric layers
- Experience building interactive decision apps, dashboards, or reporting workflows using Hex, Streamlit, Quarto, or comparable frameworks
- Familiarity with dbt
- Experience in dual-sided marketplaces, consumer workflow software, B2B2C, FinTech/InsurTech, or PropTech environments is a plus
- Data modeling experience using dbt is nice to have
- Experience building data pipelines, tooling, or automation is nice to have
- Experience in B2C marketplaces, customer workflow products, B2B SaaS products, marketing software products, or real estate/PropTech is nice to have
Benefits
Comp & perks- Comprehensive Total Rewards package
- Discretionary bonuses may be available based on role and/or employment type
- Benefits eligibility for regular full-time employees
- Opportunities for growth and compelling total rewards
- Coaching and mentorship with best-in-class leaders
- Time and tools to develop skills
- Hybrid work environment that is flexible, personal, and connected
- In-person meeting with an AppFolian during the late-stage hiring process