SimplePractice

Senior Analyst, ARPU & Expansion Products

SimplePractice · United States

Posted 26 days ago

or apply directly on SimplePractice's site. We never take the application ourselves.

Is this posting real?

This role has been open
26 days
SimplePractice's roles stay open a median of 36 days
Reposted
No
Salary listed
No
5% of SimplePractice's roles list one
Ghost-job risk at SimplePractice
high
13 stale, 0 reposted of 37 open
Hiring momentum
57 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from SimplePractice's own greenhouse board since 2026-08-03. Full hiring picture for SimplePractice.

About this role

The Senior Analyst for ARPU & Expansion Products will focus on developing and managing analytics frameworks to track key metrics such as ARPU and product attach rates. The role involves collaborating with Growth and Product teams to optimize cross-sell and upsell strategies, operationalizing predictive models, and leading monetization experiments. Additionally, the analyst will ensure data quality and leverage AI tools to enhance analytical processes.

Our read on this posting3.2out of 5
benefits
4/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SimplePractice as an employer.

What you need

  • 8+ years of experience in data analysis with a focus on monetization analytics, pricing/packaging strategy, financial technology metrics, or product-led growth in a B2B SaaS environment
  • Expert-level SQL and Python skills
  • Experience building modular transformations using Snowflake and DBT
  • Deep experience using Mixpanel to study behavioral user cohorts and conversion funnels
  • Comfortable using Git/GitHub and modern AI-coding environments to write production-adjacent Python code
  • Strong background in experimental design, causal inference models, and evaluating long-term impacts on LTV, gross margin, and retention

Nice to have

  • 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

What you get

  • 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

Worth weighing

  • No salary listed in the posting, but a compensation range is provided
  • The role requires a strong emphasis on monetization analytics and financial technology, which may limit broader analytical experience
  • The use of modern AI tools and coding environments suggests a forward-thinking approach, but may require continuous learning and adaptation

Summarised from SimplePractice's posting. Read the full original.

Listed by SimplePractice on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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