Data Analyst - Onsite (New Orleans, LA Location)

Ascension DePaul Services; New Orleans (LA); Hybride; USD 65 000 - 90 000; Plein temps

Résumé du poste

Ascension DePaul Services in New Orleans, LA is seeking a Data Analyst to join onsite operations. You will collect, clean, model and report enterprise data to improve operational efficiency and inform executive decisions.

The role focuses on extracting data with SQL, building dashboards in Power BI or Tableau, and collaborating with clinical, administrative and IT teams to translate business goals into analytical requirements.

Qualifications

• Bachelor’s degree in data analytics, statistics, computer science, economics, health informatics, or related quantitative fields.
• Proficiency in SQL and Excel; experience with data visualization tools.
• Experience with enterprise data architecture, data warehousing concepts, and analytics platforms.
• 5 years of relevant analytical experience in large practice/healthcare/corporate environments.

Responsabilités

• Data gathering and management – Extracts large scale operational, financial and/or clinical data using SQL and automated pipelines.
• Performance reporting – Build and maintain dashboards (Power BI, Tableau) tracking KPIs.
• Process optimization – Analyze workflow bottlenecks, resource allocation, and practice trends to recommend data-driven improvements.
• Cross-functional collaboration – Partner with administrative, finance, and IT to translate goals into analytics requirements.
• Data governance – Ensure secure handling of sensitive data in compliance with regulations.
• Strategic leadership – help leadership define data strategy and analytics roadmap.
• Cross-department data integration – standardize data collection across diverse practice software, HER/CRM and billing systems.

Connaissances

SQL

Excel

Data visualization tools

Python or R

Formation

Bachelor's degree in data analytics, statistics, computer science, economics, health informatics, or related quantitative fields

Outils

Power BI

Tableau

Description du poste

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Data Analyst - Onsite (New Orleans, LA Location)

Full Time Salary New Orleans, LA, US

2 days ago Requisition ID: 2315

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.