What are the responsibilities and job description for the Sr Data Analyst position at ProgenyHealth LLC?

Job Description

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

ProgenyHealth positively recruits people from diverse backgrounds, including individuals with disabilities - if you need an accommodation to interview, please contact us by email : careers@progenyhealth.com

ProgenyHealth is an Equal Opportunity Employer

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