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13 часов назад

Senior Data Analyst (AI)

129 600 - 194 400$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Analyst (AI): Building commercial analytics infrastructure, AI-powered workflows, self-service tools, and reporting systems for a digital health platform with an accent on SQL, dbt, cloud data platforms, and healthcare analytics. Focus on scaling AI agents, owning the commercial data layer, leading high-stakes analytical initiatives, and aligning CS, Commercial, Partnerships, Product, and Engineering stakeholders.

Location: San Francisco, United States; hybrid work with three days per week in the office

Salary: $129.6K–$194.4K annually, plus equity and benefits

Company

hirify.global uses software and AI to automate care for joint and muscle health, improve member outcomes, reduce healthcare costs, and support a broad range of musculoskeletal care.

What you will do

  • Act as the senior analytical thought partner for Customer Success, Commercial, and Partnerships/HSO leadership.
  • Own complex, cross-functional analyses covering client retention, surgery intent, program expansion, commercial performance, client health, and performance guarantees.
  • Maintain the CS KPI and Bowler reporting suite and lead multi-quarter initiatives such as Analytics OS, the client hub, and the retention model.
  • Own the Commercial Analytics AI and self-service strategy, scaling CSM AnswerBot, Data Discovery Agent, AFTR, and Matik-powered reporting automation.
  • Own and evolve the commercial dbt data layer and mesh architecture, including program-specific modeling and user-level pain reporting.
  • Mentor analysts, lead design reviews, document analytical practices, and communicate complex data and methodology to technical and non-technical stakeholders.

Requirements

  • Bachelor’s degree in a quantitative field or equivalent professional experience.
  • 3+ years of experience as a data analyst owning complex, cross-functional analytical work in a commercial or product environment.
  • Technical depth in SQL, Python, and cloud data platforms such as Databricks, Snowflake, or BigQuery.
  • Experience delivering strategic analysis to VP-level and senior stakeholders, framing ambiguous problems, and developing methodology under uncertainty.
  • Deep healthcare industry knowledge across clinical, payer, provider, or digital health environments.
  • Experience scaling AI capabilities, building self-service analytics platforms, mentoring analysts, and working with high autonomy.

Nice to have

  • Experience with unified analytics platforms that consolidate multiple tools under a shared architecture.
  • Experience with AI-assisted tools such as Claude Code or Cursor and agentic workflows.

Culture & Benefits

  • Hybrid working model combining remote and in-person work, with a dog-friendly San Francisco office.
  • Equity and participation in an Employee Stock Purchase Plan with a 15% discount against the lower market price.
  • Comprehensive medical coverage for employees and dependents.
  • Traditional and Roth 401(k) retirement savings options.
  • Lifestyle stipends supporting professional growth and continuous learning.

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