Sr. Data Analyst
New
P
PatientPoint - Invite OnlyDigital Health
Remote, USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLGCPMachine LearningMicrosoft Power BISnowflakeTableauAzureData visualizationData modelingLookerR
Requirements
- 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)
- 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)
- 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
- Strong problem-solving skills and a results-driven approach
- Excellent time management skills and keen attention to detail
Responsibilities
- Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions
- Communicate findings effectively to stakeholders primarily using Looker
- Work closely with business leaders to understand objectives and provide actionable recommendations based on data analysis
- Evolve from creating descriptive reports to utilizing data proactively to uncover opportunities for improvement
- 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
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