Data Analyst - Onsite (New Orleans, LA Location)

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:


1. Data gathering and management – Extracts large scale
operational, financial and / or clinical data using SQL and automated pipelines


2. Performance Reporting
– Build and maintain interactive dashboards (Power BI, Tableau) tracking key
performance indicators


3. Process optimization
– Analyze workflow bottlenecks, resource allocation, and practice trends to
recommend data driven improvements


4. Cross functional collaboration – Partner with
administrative, finance, and IT departments to translate business goals into
analytical requirements


5. Data governance – Ensure secure handling of sensitive
organized or client data in compliance with internal and external regulations


6. Strategic leadership – help leadership define the organizations
data strategy and analytical roadmap to align with longer-term organization
goals


7. Cross 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.