Ops Analytics Lead: Demand Forecasting & Capacity

Doist

United States

Remote

USD 140,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Equity in a high-growth startup
Paid time off
Comprehensive medical, dental, and vis
401(k) Retirement savings options
Work from Home reimbursement
Productivity & Wellness Stipend
Healthcare FSA or HSA contribution
Paid parental leave

Job summary

Two Chairs is redefining mental health operations with data-driven decisions. As Operations Analytics Manager, you will build psychiatry S&D forecasting models and integrate them with core data infrastructure, guiding hiring velocity, capacity, and cross-licensing strategies.

Collaboration across Growth, Finance, Data Science, Clinical Recruiting, and Clinical Ops is essential. You will frame capacity metrics, conduct forecast vs.

Qualifications

  • 5+ years of relevant work experience in an analytical role.
  • Proficient in building forecasting models and evaluating unit economics.
  • Experience collaborating with Data Science, Finance, Growth, and Clinical Ops is a plus.

Responsibilities

  • Build, maintain, and refine end-to-end S&D forecasting models for psychiatry and therapy lines.
  • Incorporate complex variables into supply and demand models (session frequency, ramp times, cross-licensing).
  • Define and track standardized operational metrics (capacity, utilization, hiring targets).
  • Partner with Data Science and Data Engineering to deploy models into core infrastructure.

Skills

Forecasting
SQL
Looker
Data analysis
Cross-functional collaboration

Tools

SQL
Excel
Data Visualization

Job description

Two Chairs is redefining mental health operations with data-driven decisions. As Operations Analytics Manager, you will build psychiatry S&D forecasting models and integrate them with core data infrastructure, guiding hiring velocity, capacity, and cross-licensing strategies.

Collaboration across Growth, Finance, Data Science, Clinical Recruiting, and Clinical Ops is essential. You will frame capacity metrics, conduct forecast vs.

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