Note: The job is a remote job and is open to candidates in USA. ParetoHealth is redefining the way employers fund healthcare. As a Lead Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex analytical problems, leading end-to-end analyses and delivering actionable insights.
Responsibilities
- Lead End-to-End Analyses
- Partner with stakeholders to understand business priorities and translate them into analytical approaches
- Design, test, and refine appropriate methodologies for complex analytical questions
- Work directly with large, messy healthcare datasets, including medical and pharmacy claims
- Build and maintain robust SQL queries and analytical datasets
- Deliver Decision-Ready Insights
- Develop clear visualizations and summaries that communicate findings to technical and non-technical audiences
- Translate complex analyses into actionable recommendations
- Document methodologies, assumptions, and limitations to ensure transparency and repeatability
- Collaborate Within the Team
- Work closely with Data Scientists to support exploratory analyses, hypothesis generation, and interpretation of results
- Partner with Analytics teammates to align definitions, methodologies, and data quality standards
- Contribute through collaboration and shared problem-solving
- Drive Business Impact
- Proactively identify opportunities where analytics can improve business outcomes
- Support teams across the organization, including underwriting, product, account management, and cost containment
Skills
- 8-10+ years' experience in a healthcare-based analytics role, preferably in the health benefits space/insurance industry
- Working knowledge of Python for analysis and data wrangling (advanced modeling not required)
- Deep, hands-on experience working with administrative healthcare data (medical and pharmacy claims)
- Strong mathematical and statistical foundation, including comfort with quantitative reasoning, distributions, rates, and variability as applied to real-world healthcare data
- Expert-level SQL skills, including building, optimizing, and validating complex analytical queries
- Advanced proficiency in data visualization tools such as Tableau
- Extensive experience in data cleaning, validation, and exploratory analysis using large, complex datasets
- Strong understanding of analytical methods, including descriptive statistics, cohort analysis, risk assessment, trend analysis, and causal thinking
- Strong analytic judgment: knowing which method to use, why, and when
- Master's degree in a quantitative/analytic field (or equivalent work experience)
- Experience working with data from CRM systems, e.g., Salesforce
- Familiarity with underwriting and actuarial risk assessments for healthcare insurance coverage
- Familiarity with AWS Serverless Services and data tools, such as S3, Lambda, Glue, Sagemaker and EMR
Benefits
- Fully paid medical, dental, and vision benefits.
- Flexible PTO
- 401k company contribution
- Tuition reimbursement
- Professional development allowance
- Transportation allowance and daily parking reimbursement
- Engaging hybrid work environment
Company Overview