Ascension DePaul Services
Data Analyst
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
New Orleans, LA, USA
Work mode:
Onsite
Published on:
17 September 2026
What they need
GENERAL JOB DESCRIPTION
POSITION: Data Analyst
SUMMARY: The manager of data and analytics collects, cleans,
models and reports enterprise data to optimize operational efficiency, track
clinical and business metrics, and helps guide executive decision making.
DUTIES AND RESPONSIBILITIES:
Data gathering and management – Extracts large scale
operational, financial and / or clinical data using SQL and automated pipelinesPerformance Reporting
– Build and maintain interactive dashboards (Power BI, Tableau) tracking key
performance indicatorsProcess optimization
– Analyze workflow bottlenecks, resource allocation, and practice trends to
recommend data driven improvementsCross functional collaboration – Partner with
administrative, finance, and IT departments to translate business goals into
analytical requirementsData governance – Ensure secure handling of sensitive
organized or client data in compliance with internal and external regulationsStrategic leadership – help leadership define the organizations
data strategy and analytical roadmap to align with longer-term organization
goalsCross departmental data integration – standardize data
collection across diverse practice software, HER/CRM platforms and billing
systems to create a unified corporate data architecture
REQUIRED QUALIFICATIONS:
Education – Bachelor’s degree in data analytics, statistics,
computer science, economics, health informatics, or related quantitative
fields.
Technical skills – Advance proficiency in SQL, Excel, data
visualization tools. And a working
knowledge of Python or R is a PLUS
Advanced technical vision as a manager – Deep expertise in
enterprise data architecture, data warehousing concepts, and advanced analytics
platforms
Experience – 5 years of relevant analytical experience, ideally
within a large practice environment, health care environment and / or corporate
environment.
Soft skills – strong communication and data storytelling skills to
present complex technical findings to non technical stakeholders.
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