If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process. Data Analyst - Onsite (New Orleans, LA Location) Full Time Salary New Orleans, LA, US2 days ago Requisition ID: 2315GENERAL JOB DESCRIPTIONPOSITION:Data AnalystSUMMARY: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 RESPONSIBILITIES1. Data gathering and management – Extracts large scale operational, financial and / or clinical data using SQL and automated pipelines2. Performance Reporting – Build and maintain interactive dashboards (Power BI, Tableau) tracking key performance indicators3. Process optimization – Analyze workflow bottlenecks, resource allocation, and practice trends to recommend data driven improvements4. Cross functional collaboration – Partner with administrative, finance, and IT departments to translate business goals into analytical requirements5. Data governance – Ensure secure handling of sensitive organized or client data in compliance with internal and external regulations6. Strategic leadership – help leadership define the organizations data strategy and analytical roadmap to align with longer-term organization goals7. Cross departmental data integration – standardize data collection across diverse practice software, HER/CRM platforms and billing systems to create a unified corporate data architectureREQUIRED QUALIFICATIONSEducation – 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 PLUSAdvanced 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.