Sr Data Analyst/Data Analyst (Contract to Hire)

ProgenyHealth is seeking a talented Sr Data Analyst/Data Analyst to join our Enterprise Analytics & Data Engineering team. The 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.  This position is a contract to hire position. 

Responsibilities:

• 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

Qualifications:

• 7+ years of hands-on experience developing content with clinical data sets required. Job level commensurate with experience. 
• 7+ years of SSMS (SQL Server Management Studio) 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