Senior Healthcare Data Analyst, Claims Analytics
New
J
JobgetherHealthcare Analytics
Based in the United StatesFull-TimeSenior
Salary73,539 - 136,065 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLGCPMicrosoft Power BISnowflakeTableauAzureLookerR
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.
- 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.
Responsibilities
- 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.
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