Senior Data Analyst

Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

What You’ll Do

• Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
• Communicate findings effectively to stakeholders primarily using Looker to ensure information is automated and not created manually.
• Work closely with business leaders to understand objectives and provide actionable recommendations based on data analysis.
• Evolve from creating descriptive reports that monitor metrics and outcomes to utilizing data proactively to uncover opportunities for improvement across the organization.
• Design and implement data models, ensuring data integrity, accuracy, and consistency across multiple sources.
• Utilize advanced statistical techniques and leverage machine learning models to solve business challenges.
• Collaborate with IT, engineering, product, and business stakeholders to optimize data collection and pipeline processes.
• Mentor and guide junior analysts, fostering a data-driven culture within the organization.
• Stay updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence.
• Quickly familiarize yourself with new datasets and efficiently provide valuable insights.

What We Need

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field.
• 5+ years of experience in analytics, data management, business intelligence or a related field.
• Experience working with healthcare claims data, including medical or pharmacy claims.
• Proficiency in SQL for querying and managing large datasets.
• Experience with data visualization tools such as Looker, Tableau, or Power BI.
• Strong understanding of data modeling, statistical analysis and data visualization.
• Proficiency in programming languages such as Python (preferred) or R for data analysis and automation.
• Experience with cloud-based data platforms (e.g., Snowflake, GCP, AWS, Azure).

Desired Qualifications

• Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field.
• Familiarity with standard claims formats and common data elements such as diagnosis codes and procedure codes.

What You'll Need to Succeed

• Excellent communication and presentation skills, with the ability to convey complex data concepts to non-technical stakeholders.
• Strong ability to translate analytical concepts and robust data storytelling skills to communicate insights to various audiences, including non-technical business partners.
• Strong problem-solving skills and a results-driven approach.
• Excellent time management skills and keen attention to detail.