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Freelance Python Data Analysis Jobs in Lafayette, LA

CGI Inc.

Python AWS Mongo Developer

Lafayette, LA · On-site

$48 - $66.25/hr

... data and using cookies - Learn more. Position Description: The best version of us starts with You ... Agile Ceremonies - Participate and Contribute Applications Development - Analysis Design ...

CGI Inc.

Data Engineer

Lafayette, LA · On-site

$109K - $131K/yr

... into downstream analytics and reporting environments. The successful candidate will own the ... Python or Java experience supporting validation utilities, pipeline tooling, and engineering ...

CGI Inc.

Forward Deployed Engineer

Lafayette, LA · On-site

Design, build, and maintain computer vision pipelines that analyze and extract insights from large ... Python for ML development, data processing, and automation . Running AI/ML workloads for training ...

CGI Inc.

Database Engineer

Lafayette, LA · On-site

... analysts to ensure data reliability, performance, auditability, and seamless integration with ... Experience automating database operations using PowerShell or Python. . Exposure to Appian ATF ...

CGI Inc.

Cloud Architect/Engineer - Senior

Lafayette, LA · On-site

$53.25 - $71.25/hr

S. - What we do matters By playing this video you consent to Google/YouTube processing your data ... Python, Shell) and automation tools. . Problem Solving: Excellent analytical and problem solving ...

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Freelance Python Data Analysis information

See Lafayette, LA salary details

$12

$55

$82

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

As of Aug 6, 2026, the average hourly pay for freelance python data analysis in Lafayette, LA is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

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

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Lafayette, LA? The most popular types of Python Data Analysis jobs in Lafayette, LA are:
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What cities near Lafayette, LA are hiring for Freelance Python Data Analysis jobs? Cities near Lafayette, LA with the most Freelance Python Data Analysis job openings:
Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Lafayette, LA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,444 per year, or $56 per hour.

Healthcare Data Analyst (On-Site in Lafayette, LA)

FMOLHS

Lafayette, LA

Other

Re-posted 2 days ago

Job description

This role will be located on-site in Lafayette, LA.

The Healthcare Data Analyst 2 plays a crucial role in analyzing and interpreting complex health data to help improve patient outcomes, operational efficiency, and overall healthcare delivery within our health system. The ideal candidate will have advanced analytical skills, a strong understanding of healthcare data, and the ability to work collaboratively with various stakeholders across the organization.

Education: Bachelor's degree in Health Informatics, Data Science, Statistics, Public Health, Business/Healthcare Administration or a related field.

Experience: Minimum of 3 years of experience in healthcare data analysis or a related field including internship.

Technical Skills: Proficiency in data analysis tools and software, such as SQL, SAS, R, Python, or Tableau. Strong understanding of electronic health records (EHR) systems, healthcare databases, and data standards (e.g., ICD-10, CPT codes).

Analytical Skills: Advanced analytical and problem-solving skills. Ability to interpret complex data sets and provide meaningful insights.

Communication Skills: Excellent verbal and written communication skills. Ability to present data findings clearly and concisely to non-technical stakeholders.

Attention to Detail: Strong attention to detail and commitment to data accuracy and quality.

Team Player: Ability to work effectively in a collaborative, team-oriented environment.

Data Analysis and Reporting: Perform advanced data analysis to support clinical and operational decision-making. Generate comprehensive reports and data visualizations to communicate findings effectively.

Data Management: Ensure the accuracy, integrity, and security of healthcare data. Manage data extraction, transformation, and loading (ETL) processes.

Performance Metrics: Develop and monitor key performance indicators (KPIs) to assess the effectiveness of clinical and operational processes. Provide actionable insights to improve performance.

Research and Evaluation: Conduct research and evaluation projects to assess the impact of healthcare interventions and programs. Collaborate with clinical and administrative teams to design and implement studies.

Compliance and Standards: Ensure compliance with relevant regulations, standards, and best practices in healthcare data management and analysis.

Collaboration: Work closely with IT, clinical, and administrative teams to identify data needs and provide analytical support. Participate in cross-functional projects and initiatives.
 

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