Business Analyst, Operations Analytics

Our mission: eliminating every barrier to mental health.

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.

Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.

As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

Reporting to the Director of Operations Analytics & Workforce Optimization, the Senior Business Analyst, Operations Analytics will drive the strategic analytics work for cross-cutting, operations-wide priorities—some of the most critical initiatives in the department. This role sits on the Operations Analytics team within Operations Intelligence and will serve as a high-leverage analytics partner to Operations leadership, helping define what “good” looks like, how we measure it, and how we improve it. This is a full time, fully-remote position, though the ability to be onsite in our NYC office once a week is preferred.

What you’ll do:

This role will have two primary categories of work:

Strategic analytics for Ops-wide initiatives:

• Provide the strategic analytics horsepower for major, cross-functional Operations initiatives (e.g., AI transformation efforts) by framing ambiguous problems, identifying decision-critical metrics, and driving analyses that directly shape strategy and execution.
• Translate complex analytics into clear, actionable recommendations for Operations leadership, leveraging AI functionality wherever possible to reduce time-to-insight and increase actionability.
• Build decision-ready narratives for exec audiences: clear problem statements, crisp insights, quantified tradeoffs, and recommended actions.
• Partner cross-functionally (Operations leaders, BI, Product, and other stakeholders) to ensure analytics work is connected to real operational levers and adopted in day-to-day decision-making.

Ops-wide analytics + performance measurement foundation

• Own the creation of core data and reporting groundwork that ensures Operations understands what should be measured, how it’s measured, and how we’re performing.
• Deliver foundational assets such as:
  • An Operations-wide metrics dictionary (definitions, logic, ownership, refresh cadence, caveats).
  • Recurring Operations performance packages that surface the most critical business metrics and trends.
  • Metric trees that enable faster, more systematic root-cause analysis when performance shifts.
  • Partner closely with leaders across each Operations department and BI partners to align on metric definitions, ensure data quality, and maintain scalable reporting.

What success looks like:

• Clarity and alignment: Operations leadership has shared definitions for key metrics and trusts the measurement system (fewer “metric debates,” more decision velocity).
• Adoption: Operations leaders consistently use the reporting foundation and metric trees in business reviews and in-week decision making.