Senior Analyst, ARPU & Expansion Products

SimplePractice
United States
Workplace: OnsiteFull timeUSD 100,000 - 125,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsSkills: ["Experimental design","Causal inference","Analytical thinking","Data stewardship","Collaboration"]

Own the analytics framework for ARPU and product expansion across insurance, payments, and AI-driven offerings. Partner with Growth and Product to optimize cross-sell and upsell funnels, operationalize predictive monetization models, and lead experimentation (A/B tests) to improve conversion and expansion MRR. Act as a data quality gatekeeper for expansion datasets, leveraging SQL/Python, Snowflake/DBT, Mixpanel, and AI coding tools like Claude Code, Cursor, and n8n.

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FursaFursa
SimplePractice
SimplePractice
3 days ago

Senior Analyst, ARPU & Expansion Products

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Own the analytics framework for ARPU and product expansion across insurance, payments, and AI-driven offerings. Partner with Growth and Product to optimize cross-sell and upsell funnels, operationalize predictive monetization models, and lead experimentation (A/B tests) to improve conversion and expansion MRR. Act as a data quality gatekeeper for expansion datasets, leveraging SQL/Python, Snowflake/DBT, Mixpanel, and AI coding tools like Claude Code, Cursor, and n8n.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own and evolve analytics for tracking ARPU, product attach rates, and transactional volume across the expansion suite (Insurance, Payments, AI Notetaker, CareAid, Erx).
  • •Partner with Growth and Product to analyze multi-product adoption funnels, identify friction points, and find opportunities for cross-sell interventions.
  • •Work with Data Science to implement and test monetization-focused predictive outputs (propensity-to-buy, churn risk, Next Best Action upgrade frameworks).
  • •Design, execute, and analyze A/B tests for pricing adjustments, packaging bundles, and in-app premium feature trials to optimize conversion and expansion MRR.
  • •Act as the primary gatekeeper for expansion data quality, ensuring transactional data streams and product event logs map accurately to the data warehouse.

Pay and Benefits

Salary: USD 100,000 - 125,000 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability Insurance401kPaid LeaveParental LeaveLearning Budget

Key Requirements

  • •8+ years of data analysis experience with a focus on monetization analytics, pricing/packaging strategy, Fintech metrics, or product-led growth (PLG) in B2B SaaS.
  • •Expert-level SQL and Python experience, including building modular transformations with Snowflake and DBT.
  • •Deep experience using Mixpanel for behavioral cohorts and conversion funnels, including understanding usage-based/transactional business models.
  • •Comfort using Git/GitHub and modern AI-coding environments (e.g., Cursor) to write production-adjacent Python and automate analytical data pipelines.
  • •Strong grounding in experimental design, causal inference, and evaluating long-term impact on LTV, gross margin, and retention.
Experience:8+ yearsFintechB2B SaaSProduct-led growth (PLG)
Skills:Experimental designCausal inferenceAnalytical thinkingData stewardshipCollaboration
Languages:English
Tech Stack:SQLPythonSnowflakeDBTMixpanelGitGitHubClaude CodeCursorN8nLLMsA/B testingPropensity-to-buy models

Company Brief

SimplePractice
Provides practice management and telehealth software for behavioral health and wellness professionals, offering scheduling, billing, documentation, and secure telehealth services to streamline clinical workflows.
Industry: HealthTech
Headquarters: Lehi, United States
Founded: 2012
WebsiteLinkedIn