数据分析师
Data Analyst
**为什么选择Clarium？**
医疗行业每年在供应链上多花费超过250亿美元，这是由于数据碎片化、低效的工作流程和浪费的物资造成的。Clarium正在解决这个问题。我们基于AI的平台Astra OS，为医院提供端到端的供应链运营可见性，自动化工作流程并提供可操作的见解，使供应链团队能够专注于最重要的事情：患者护理。我们已获得耶鲁新港健康、斯坦福、Geisinger和Kaiser Permanente等全球领先医疗系统的信任。
Clarium成立于2020年，已累计融资4300万美元。我们的A轮融资由Northzone领投，General Catalyst、AlleyCorp、Kaiser Permanente Ventures、德克萨斯医学中心风险投资和1984 Ventures参与投资。
**这个机会**
Clarium正在寻找一名数据分析师，将原始数据转化为决策。你将与公司各个团队合作，解答他们最困难的问题，构建查询、模型和仪表板，展示实际发生的情况及其原因。
这个职位适合一位既能编写复杂的SQL查询，也能在Python中清理混乱的数据集，并且能向非技术人员解释结果而不用专业术语的人。
**在这个职位中，你将**
- 编写并优化SQL，从大型关系型数据集中提取、连接和聚合数据
- 使用Python清理、转换和分析无法直接通过查询处理的数据
- 独立探索数据集，发现趋势、异常和业务尚未想到的机会
- 构建和维护利益相关者真正使用的仪表板和定期报告
- 与产品和客户成功团队合作，将模糊的问题转化为可解答的分析
- 调查数据质量问题，并与工程团队合作从源头解决
- 记录数据定义、指标和方法论，确保结果可重复且可信
- 向技术和非技术受众清晰地呈现发现和建议
**我们寻找的条件**
1. 在分析、数据或商业智能相关岗位上有3年以上专业经验
2. 精通SQL——熟悉连接、窗口函数、CTE和对大型表的查询优化
3. 精通Python用于数据分析（如pandas、NumPy、Jupyter）
4. 有使用关系型数据库的实际经验；PostgreSQL和Snowflake优先
查看英文原文
**Why Clarium?**
The healthcare industry overspends on its supply chain by over $25B each year, the result of fragmented data, inefficient workflows, and wasted supplies. Clarium is fixing that. Our AI-powered platform, Astra OS, gives hospitals end-to-end visibility into their supply chain operations, automating workflows and surfacing actionable insights so supply chain teams can focus on what matters most: patient care. We're trusted by some of the world's leading health systems, including Yale New Haven Health, Stanford, Geisinger, and Kaiser Permanente.
Founded in 2020, Clarium has raised $43M in total funding. Our Series A was led by Northzone, with participation from General Catalyst, AlleyCorp, Kaiser Permanente Ventures, Texas Medical Center Ventures, and 1984 Ventures.
**The Opportunity**
Clarium is looking for a Data Analyst to turn raw data into decisions. You'll partner with teams across the business to answer their hardest questions, building the queries, models, and dashboards that show what's actually happening and why.
This role is a strong fit for someone who is equally comfortable writing a complex SQL query, cleaning a messy dataset in Python, and explaining the result to a non-technical stakeholder without jargon.
**In This Role You Will**
- Write and optimize SQL to extract, join, and aggregate data across large relational datasets
- Use Python to clean, transform, and analyze data that doesn't fit neatly into a query
- Independently explore datasets to surface trends, anomalies, and opportunities the business hasn't thought to ask about yet
- Build and maintain dashboards and recurring reports that stakeholders actually use
- Partner with product and customer success teams to scope ambiguous questions into answerable analyses
- Investigate data quality issues and work with engineering to resolve them at the source
- Document data definitions, metrics, and methodology so results are reproducible and trusted
- Present findings and recommendations clearly to both technical and non-technical audiences
**What we're looking for**
1. 3+ years of professional experience in an analytics, data, or business intelligence role
2. Strong proficiency in SQL — comfortable with joins, window functions, CTEs, and query optimization against large tables
3. Strong proficiency in Python for data analysis (e.g. pandas, NumPy, Jupyter)
4. Hands-on experience working with relational databases; PostgreSQL and Snowflake strongly preferred
5. Working knowledge of Git for version control — branching, pull requests, and collaborating on a shared codebase
6. Demonstrated ability to work independently — scoping your own analyses from a vague business question, and proactively identifying what's worth investigating without being handed a spec
7. Track record of building dashboards and reporting that others rely on
8. Excellent written and verbal communication skills
**Nice to have**
- Experience working with healthcare data — claims, EHR/EMR, eligibility, clinical, or patient-level data
- Familiarity with healthcare data standards and privacy requirements (HIPAA, PHI/PII handling, HL7/FHIR, ICD/CPT coding)
- Experience with hospital cost and operations data — ERP / supply chain (purchasing, inventory), resource and procedure utilization, and charge data (chargemaster, charge capture)
- Experience with dbt or similar modern analytics engineering workflows
- Experience with BI and visualization tools (Sigma, Tableau, Looker, Power BI, or similar)
**What You Get at Clarium**
Target Base Salary Range: $90K - $120K
The base salary Clarium offers may vary depending upon the ultimate scope and responsibilities of the position and on the candidate’s job-related knowledge, skills, and experience. The total package will include equity, in addition to a full range of medical and/or other benefits, depending on the position offered. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
- Incentive Stock Options proportionate to your salary
- Fully remote, with a NYC co-working space available; distributed team across multiple time zones with opportunities for in-person time
- Unlimited PTO
- Top-tier health, vision, and dental benefits
- 401K
- The opportunity to build on a strong foundational team with deep data and engineering roots at a stage where your work genuinely shapes the product
- A fast-paced, high-growth environment where we move quickly to solve critical healthcare challenges
- The chance to empower frontline healthcare workers by automating the administrative friction in their day-to-day
- Collaborative work alongside a high-caliber team of clinicians, engineers, and revenue leaders
**Equal Opportunity Statement**
Clarium is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.