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:
- 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
Qualifications:
- 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