[Hiring] Senior Analyst, ARPU & Expansion Products @SimplePractice

Role Description

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management.

In this role, you will be responsible for:

• ARPU & Expansion Modeling: Own and evolve the analytics framework for tracking ARPU, product attach rates, and transactional volume across our core expansion suite (Insurance, Payments, AI Notetaker, CareAid, Erx).
• Cross-Sell & Upsell Optimization: Partner with Growth and Product teams to analyze multi-product adoption funnels, identifying friction points and white-space opportunities to trigger timely cross-sell interventions.
• Operationalize Predictive Models: Partner with Data Science to implement and test monetization-focused outputs—such as propensity-to-buy models, Churn risk indicators for high-value users, and Next Best Action (NBA) upgrade frameworks.
• Monetization Experimentation: Lead the design, execution, and statistical analysis of A/B tests covering pricing adjustments, packaging bundles, and in-app premium feature trials (e.g., AI Notetaker rollouts) to optimize conversion and expansion MRR.
• AI-First Workflow: Actively use and experiment with AI tools (e.g., Claude Code, Cursor, n8n) to automate insights, build agentic workflows, and maintain a "developer-lite" approach to data tasks.
• Data Stewardship: Act as the primary gatekeeper for expansion data quality, ensuring complex transactional data streams (e.g., fintech/payment processing and insurance claims data) and product event logs map accurately to our data warehouse.

Qualifications

• 8+ years of experience in data analysis, with a heavy emphasis on monetization analytics, pricing/packaging strategy, financial technology (Fintech) metrics, or product-led growth (PLG) in a B2B SaaS environment.
• Expert-level SQL and Python skills, with extensive hands-on experience building modular transformations using Snowflake and DBT.
• Deep experience using Mixpanel to study behavioral user cohorts and conversion funnels, combined with a strong understanding of usage-based or transactional business models.
• Comfortable using Git/GitHub and modern AI-coding environments (e.g., Cursor) to write production-adjacent Python code and automate complex analytical data pipelines.
• You are an early adopter of AI tools with experience leveraging LLMs and automation platforms to dramatically accelerate your analytical throughput.
• Strong background in experimental design, causal inference models, and evaluating the long-term impact of changes on LTV, gross margin, and retention.

Requirements

• Background working with digital payments, insurance claims processing systems, or AI feature consumption metrics.
• Experience building or maintaining "Expansion Propensity Scores" to predict when a customer is ready for premium feature upgrades.

Benefits

• Medical, dental, vision, life & disability insurance
• 401(k) plan with company match
• Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
• Mental health resources
• Paid parental leave & Backup Care
• Tuition reimbursement
• Employee Resource Groups (ERGs)