Sr Data Analyst
New
J
JobgetherHealthcare Analytics
Based in United StatesFull-TimeSenior
Salary73,539 - 136,065 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLMicrosoft Power BITableauData visualizationData modelingLookerR
Requirements
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or another quantitative discipline.
- 5+ years of experience in analytics, data management, business intelligence, or a related field.
- Experience working with healthcare claims data, including medical and pharmacy claims.
- Strong proficiency in SQL for querying, analyzing, 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 principles.
- Experience with programming languages such as Python or R for analytics, automation, and data processing.
- Familiarity with cloud-based data platforms such as Snowflake, Google Cloud Platform, AWS, or Azure.
- Knowledge of healthcare data standards, including diagnosis codes, procedure codes, and common claims formats.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.
Responsibilities
- Analyze large and complex datasets to identify trends, patterns, and insights that support strategic business decisions.
- Develop automated dashboards and reporting solutions using data visualization tools to improve accessibility and reduce manual reporting efforts.
- Partner with business leaders and cross-functional teams to understand objectives and provide actionable recommendations.
- Transform descriptive analytics into proactive insights that identify opportunities for operational and business improvements.
- Design and maintain data models while ensuring accuracy, consistency, and integrity across multiple data sources.
- Apply statistical analysis and machine learning techniques to address complex business challenges.
- Collaborate with engineering, IT, product, and business stakeholders to improve data pipelines and collection processes.
- Work with healthcare claims data to uncover meaningful insights related to medical and pharmacy information.
- Mentor junior analysts and contribute to building a strong data-driven culture across the organization.
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