Senior Healthcare Data Analyst, Claims Analytics

Accountabilities:

• • Analyze large and complex healthcare datasets, including medical and pharmacy claims, to uncover trends, patterns, performance drivers, and opportunities for improvement.
  • Translate analytical findings into actionable recommendations that help business leaders make informed strategic and operational decisions.
  • Develop automated dashboards, reports, and visualizations primarily using Looker, reducing reliance on manual reporting and improving access to timely insights.
  • Partner with business stakeholders to understand objectives, identify analytical opportunities, and evolve reporting from descriptive monitoring toward proactive business intelligence.
  • Design and maintain data models that support data integrity, accuracy, consistency, and reliable analysis across multiple data sources.
  • Apply statistical techniques and, where appropriate, machine learning approaches to address complex business challenges and generate deeper insights.
  • Collaborate with IT, engineering, product, and business teams to improve data collection, pipelines, and overall analytical processes.
  • Quickly understand unfamiliar datasets and translate them into meaningful insights that can support business priorities.
  • Mentor and guide junior analysts while contributing to a broader data-driven culture across the organization.
  • Stay current with developments in healthcare analytics, business intelligence, data technologies, and industry best practices.

  Requirements:

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or another highly quantitative discipline; a Master’s degree is a plus.
  • 5+ years of experience in analytics, data management, business intelligence, or a related field, with substantial experience working with healthcare claims data.
  • Hands-on experience analyzing medical and/or pharmacy claims, with familiarity with standard claims formats and common elements such as diagnosis and procedure codes preferred.
  • Strong SQL skills and experience querying, transforming, and managing large datasets.
  • Proficiency with data visualization and business intelligence platforms such as Looker, Tableau, or Power BI.
  • Strong knowledge of data modeling, statistical analysis, data visualization, and analytical methodologies.
  • Programming experience in Python, preferably, or R for data analysis, automation, and advanced analytics.
  • Experience working with cloud-based data platforms such as Snowflake, GCP, AWS, or Azure.
  • Strong analytical and problem-solving abilities, with excellent attention to detail and a results-oriented mindset.
  • Excellent communication and presentation skills, with the ability to explain complex analytical concepts and insights to non-technical stakeholders.
  • Strong data storytelling skills and the ability to connect analytical findings to business objectives and practical recommendations.
  • Effective time management and the ability to manage multiple priorities in a collaborative, cross-functional environment.

  Benefits:

  • Fully remote work environment.
  • Base salary range of $73,539–$136,065, with compensation determined by factors including skills, qualifications, geographic location, and professional experience.
  • Comprehensive benefits package for full-time employees.
  • Flexible time off to support work-life balance and personal wellbeing.
  • Hybrid work options where applicable.
  • 401(k) retirement plan.
  • Mental and emotional wellness resources.
  • Supportive and purpose-driven workplace focused on improving healthcare outcomes.
  • Approximately 2–5 weeks of travel per year required.
  • Equal opportunity workplace committed to inclusion and diverse perspectives.