Senior Healthcare Data Analyst
$73.54k - $136.07kFull-time
PatientPoint
Role Description
Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. We are seeking a highly skilled Senior Data Analyst to join our team and drive data-driven decision-making across the organization. The ideal candidate will have a strong analytical mindset, expertise in data visualization, and the ability to transform complex data sets into meaningful insights.
- 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.
Qualifications
- 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).
Requirements
- Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field (desired).
- Familiarity with standard claims formats and common data elements such as diagnosis codes and procedure codes (desired).
Benefits
- Competitive compensation.
- Flexible time off to recharge.
- Hybrid work options.
- Mental and emotional wellness resources.
- 401K plan.
Vacancy posted 1 day ago
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