Senior Data Analyst

3 days ago

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ProgenyHealth, LLC

WebsiteLinkedInAll Job Openings

neonatal care • utilization review • case management • managed care • low birth weight

201 - 500 employees

⚕️ Healthcare Insurance

☁️ SaaS

🧘 Wellness

Description

• ProgenyHealth is seeking a talented Sr Data Analyst to join our Enterprise Analytics & Data Engineering team. • The Sr Data Analyst will work directly with ProgenyHealth Stakeholders and team members within a continuous integration/continuous deployment (CI/CD) model, using agile methods within Azure DevOps to develop new analytics content for internal stakeholders and external clients. • Responsibilities include developing, maintaining, and optimizing advanced dashboards and reports tailored to business needs, often using tools like Tableau, SSRS, and Excel. • Schedule design sessions and meet with internal Stakeholders to develop reporting/dashboard requirements and UAT plans. • Deploy work through our continuous integration/continuous deployment (CI/CD) model. • Track and update work within Azure DevOps using best practices. • Hands-on experience using technical documents such as data dictionaries to develop analytics. • Participate in Release Management meetings. • Investigate performance issues with dashboards, reports, and ad-hoc query environments and mitigate those issues.

Requirements

• 7+ years of hands-on experience developing content with clinical data sets required • 7+ years of SSMS experience • Must have the ability to write succinct, highly optimized queries across large volumes of data required • 7+ years of Industry experience in a report development, data science, business analytics, business intelligence or comparable data engineering role, including data warehousing and business intelligence tools, techniques and technology required • 7+ years of creating and managing reports and interactive dashboards in Tableau preferred • 7+ years of GIT experience preferred • Full understanding with the ability to articulate the difference between relational and dimensional data models • Excellent oral and written communication skills, and comfort presenting to everyone from entry-level employees to senior leaders • Knowledge of ETL/ELT and data warehouse concepts and processes • Ability to explain complicated or technical information in a simple way to non-technical audiences • Curiosity and passion about data, visualization and solving problems • Willingness to question the validity, accuracy of data and assumptions • Eagerness to learn in a fast-paced environment • B.S. degree in math, statistics, computer science, information technology or equivalent technical field