Lead Data Analyst

ParetoHealth•Philadelphia, PA

7d•Hybrid

About The Position

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.

Requirements

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)

Nice To Haves

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

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