Senior Business Intelligence Analyst
New
J
JobgetherHealthcare Technology
Based in the United StatesFull-TimeSenior
Salary$115,000–$130,000 USD
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLSnowflakeTableauData modelingdbtGitHubEHR
Requirements
- 5+ years of experience in healthcare data analytics, preferably supporting commercial, business development, or operational teams.
- 3+ years of hands-on Tableau experience, including advanced calculations, parameters, performance optimization, and interactive dashboard development.
- Strong SQL skills with the ability to analyze large datasets and build analytical solutions using Snowflake or comparable cloud data warehouses.
- Experience with dbt for data modeling and GitHub for version control.
- Familiarity with healthcare data sources such as claims, electronic health records, and health information exchange systems.
- Strong data storytelling skills with the ability to communicate findings clearly to technical and non-technical stakeholders.
- Ability to work effectively in a fast-changing environment, manage ambiguity, and adapt to shifting priorities.
- Strong analytical thinking, problem-solving abilities, and attention to detail.
- Tableau Desktop Specialist certification or similar certification is preferred.
Responsibilities
- Serve as a key point of contact for reporting needs, business questions, and analytical requests by providing accurate and meaningful data insights.
- Design, develop, and maintain Tableau dashboards that support reporting, operational performance, client needs, and emerging programs.
- Apply business intelligence best practices to create scalable, user-friendly, and high-performing reporting solutions aligned with business objectives.
- Build analytical models using dbt to support dashboards, reporting workflows, and downstream analytics.
- Use SQL and analytics tools to collect, transform, and analyze large datasets from healthcare sources, including claims, EHR, health information exchange, and operational systems.
- Manage analytics requests and reporting priorities through project management tools while maintaining clear communication and timely delivery.
- Translate complex data findings into clear narratives and recommendations that connect insights to business goals and measurable impact.
- Collaborate with product, engineering, and data teams to develop new capabilities that improve operational efficiency and decision-making.
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