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Contract Python Data Analysis Jobs in New Orleans, LA

Data Engineer

New Orleans, LA

$110K - $132K/yr

Leads analysis, model and design the application data structure, storage, integration, deployment ... A minimum of 2 years of experience using Scripting (Python, Perl, Shell, etc) is required A minimum ...

Utilize Python or SQL to identify outliers, handle missing values, and normalize data. * Load & Demand Analysis: Analyze historical load profiles to identify patterns, peaks, and anomalies. Translate ...

Utilize Python or SQL to identify outliers, handle missing values, and normalize data. * Load & Demand Analysis: Analyze historical load profiles to identify patterns, peaks, and anomalies. Translate ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Showing results 41-60

Contract Python Data Analysis information

See New Orleans, LA salary details

$12

$56

$82

How much do contract python data analysis jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for contract python data analysis in New Orleans, LA is $56.30, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $63.94 per hour, depending on experience, location, and employer.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in New Orleans, LA? The most popular types of Python Data Analysis jobs in New Orleans, LA are:
What are popular job titles related to Contract Python Data Analysis jobs in New Orleans, LA? For Contract Python Data Analysis jobs in New Orleans, LA, the most frequently searched job titles are:
What job categories do people searching Contract Python Data Analysis jobs in New Orleans, LA look for? The top searched job categories for Contract Python Data Analysis jobs in New Orleans, LA are:
What cities near New Orleans, LA are hiring for Contract Python Data Analysis jobs? Cities near New Orleans, LA with the most Contract Python Data Analysis job openings:

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago


Job description

Job Type
Full-time
Description
SUMMARY
The LSU Healthcare Network is a non-profit, academic, multi-specialty healthcare delivery system dedicated to patient care, research, and education. You can be a part of a progressive healthcare team making a meaningful difference in the care of patients. The LSU Healthcare Network is made up of over 175 healthcare providers - from primary care to specialty care - at several multi-specialty care locations in and around the Greater New Orleans area.
We offer a competitive compensation and benefits package, including:
  • 15 PTO Days
  • 11 Paid Holidays
  • 401(k) Plan with employer match
  • Health Insurance
  • Tuition Reimbursement

Note: This is an onsite position based in our New Orleans Administrative office. Remote work and relocation assistance are not available.
POSITION PURPOSE
The Revenue Cycle Analyst is responsible for generating, analyzing, and interpreting revenue cycle and operational data to support organizational decision-making. This role develops routine and ad hoc reports, monitors key performance indicators, identifies trends and variances, and provides analytical support for revenue cycle operations, payor contract management, and strategic initiatives.
To be successful in this role, the individual must be able to perform each essential duty effectively. The qualifications outlined below represent the knowledge, skills, and abilities required. Reasonable accommodations will be made, as needed, to support individuals with disabilities in performing the essential functions of the position.
PRINCIPAL RESPONSIBILITES
  • Generate routine and ad hoc reports as directed by the CEO and organizational leadership.
  • Analyze data and provide actionable insights related to revenue cycle performance, operational metrics, and financial outcomes.
  • Assist with the interpretation and distribution of operational scorecards and performance dashboards.
  • Monitor key revenue cycle metrics and proactively identify significant variances or trends.
  • Support payor contract management through data analysis and reporting.
  • Assist the CEO in evaluating current vendor relationships and potential business partners.
  • Participate in organizational projects and initiatives requiring data analysis and reporting support.
  • Contribute to the development and enhancement of business intelligence tools, reporting platforms, and data warehouses.
  • Utilize reporting and analytics tools including Microsoft Excel, PowerPoint, , Access, and other reporting systems.
  • Compile, maintain, and analyze cash, billing, reimbursement, and accounts receivable metrics to support operational management and performance improvement.

SUPERVISORY RESPONSIBILITIES
None.
Requirements
EDUCATION AND EXPERIENCE
  • Bachelor's degree in Finance, Business Administration, Healthcare Management, or a related field preferred.
  • Minimum of three (3) years of healthcare financial analysis, revenue cycle, or reimbursement experience required.
  • Experience in healthcare revenue cycle management and project management preferred.

CORE COMPETENCIES
  • Strong understanding of healthcare revenue cycle operations and related workflows.
  • Knowledge of revenue cycle performance metrics and benchmarking standards.
  • Advanced proficiency in Microsoft Excel and reporting tools such as Crystal Reports or similar applications.
  • Understanding of physician revenue cycle processes, including registration, eligibility verification, coding, charge entry, claims management, denial management, cash posting, patient billing, and payor contracting preferred.
  • Experience with business intelligence tools, data warehouses, or database development preferred.
  • Experience with EPIC and electronic health record systems preferred.
  • Strong analytical, problem-solving, and decision-making skills.
  • Excellent verbal and written communication skills with the ability to communicate effectively across all organizational levels.
  • Strong attention to detail and customer service orientation.