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

• Data gathering and management – Extracts large scale

operational, financial and / or clinical data using SQL and automated pipelines

• Performance Reporting
• Build and maintain interactive dashboards (Power BI, Tableau) tracking key

performance indicators

• Process optimization
• Analyze workflow bottlenecks, resource allocation, and practice trends to

recommend data driven improvements

• Cross functional collaboration – Partner with

administrative, finance, and IT departments to translate business goals into

analytical requirements

• Data governance – Ensure secure handling of sensitive

organized or client data in compliance with internal and external regulations

• Strategic leadership – help leadership define the organizations

data strategy and analytical roadmap to align with longer-term organization

goals

• 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.