Lead Data Analyst

About The Team

At ParetoHealth, the Analytics team sits at the intersection of healthcare data, business strategy, and decision-making. We work with rich medical, pharmacy, stoploss, and business datasets to generate insights that directly influence product strategy, client outcomes, underwriting, and internal operations. The team partners closely with a varied set of stakeholders to move from questions to action, promoting data-driven decision making across the organization. We do this within a team culture of collaboration, shared responsibility, mutual respect, and growth.

Position Summary:

This role is designed for a senior, analytically sophisticated individual contributor who feels most at home in the space between data science and traditional BI analytics.

As a Lead Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems. You will lead analyses end-to-end, framing questions, wrangling and validating data, designing sound analytical approaches, and translating results into clear, actionable insights.

This role is not focused on building predictive models or machine learning systems for production, and it does not include people management responsibilities. Success in this role comes from analytic rigor, business judgment, and the ability to turn complex data into decisions. You will report to the VP of Analytics.

Key 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

What We’re Looking For:

• A problem-solver with a natural sense of curiosity, analytic rigor, and a deep interest in understanding complex healthcare data
• A collaborator with proven ability to work cross-functionally across many different stakeholders to create and deliver insights
• A strong communicator who effectively shares information at the appropriate level across a wide variety of audiences
• A self-starter with a demonstrated track record of owning projects from idea to execution
• A critical thinker with demonstrated ability to be creative, strategic, and to apply strong business judgement
• A translator who can turn complex analysis into actionable insights and recommendations for the business

Core Qualifications:

• 8-10+ years’ experience in a healthcare-based analytics role, preferably in the health benefits space/insurance industry
• 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)

Bonus Qualifications:

• Working knowledge of Python or R for analysis and data wrangling (advanced modeling not required)
• 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

Perks & 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