IT Advanced Analytics Developer
New
United StatesFull-TimeMiddle
Salary41.1 - 61.65 USD per hour
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Job Details
- Experience
- 2–4 years
- Required Skills
- SQLBusiness IntelligenceData AnalysisData visualizationData modeling
Requirements
- Bachelor’s degree in data science, statistics, economics, finance, business analytics, health informatics, or a related field (Master’s preferred).
- 2–4 years of experience in business analytics, healthcare informatics, or a related data-focused role.
- Experience working with large-scale datasets and building business intelligence or analytics solutions.
- Strong knowledge of data analysis, modeling, reporting, and data visualization concepts.
- Proficiency in programming or querying languages used for data extraction, transformation, and automation.
- Familiarity with healthcare data environments and clinical or operational reporting preferred.
- Ability to manage multiple priorities and deliver complex analytical work in a deadline-driven environment.
- Strong communication skills with the ability to translate technical findings into business insights.
- Critical thinking mindset with strong problem-solving and attention to detail.
- Certification or familiarity with Epic tools (Cogito, Clarity, Caboodle) is highly desirable.
Responsibilities
- Design, build, and maintain reports, dashboards, and self-service analytics solutions to support enterprise stakeholders.
- Develop and optimize datasets and datamarts for advanced analytics, reporting, and data visualization needs.
- Analyze large-scale healthcare datasets to identify trends, patterns, and outcomes across clinical and operational programs.
- Collaborate with senior analysts and stakeholders to interpret findings and communicate insights clearly and effectively.
- Apply data stewardship principles, governance standards, and documentation best practices to ensure data quality and compliance.
- Contribute to multiple concurrent analytics projects while managing priorities and deliverables in a structured environment.
- Support development of data extraction, automation, and modeling processes using modern analytics tools and programming languages.
- Participate in continuous improvement of business intelligence frameworks and data architecture standards.
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