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Senior Python Data Analyst Jobs in Crowley, LA (NOW HIRING)

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.

Senior Technical Incident Manager

Lafayette, LA · On-site

$108K - $149K/yr

... issues, analyze monitoring data, participate in incident response activities, and contribute to ... or Python is beneficial DESIRED SKILLS • AWS Certified Cloud Practitioner or AWS Certified ...

CGI Inc.

Information Security Analyst

Lafayette, LA · On-site

... your data and using cookies - Learn more. Position Description: CGI Federal seeks a technically ... Experience with security automation tools, scripting (Python, PowerShell), and cloud security ...

CGI Inc.

Senior Software Developer

Lafayette, LA · On-site

$52 - $68.75/hr

Work closely with users, stakeholders, business analysts, and product managers to understand ... data. . The candidate should have experience in web-application development including HTML, CSS ...

EDG Inc

Sr. Facilities Engineer

Lafayette, LA · On-site

$99K - $137K/yr

... data/details and survey available space and infrastructure to support facility upgrades ... analysis, pipe stress, API 14C compliance, firewater/deluge, material selection) and develop ...

CGI Inc.

AI Engineer/Architect

Lafayette, LA · On-site

This Senior AI Engineer will be instrumental to design, develop, and lead enterprise grade ... This role requires deep hands-on expertise in Python, Large Language Models (LLMs), prompt ...

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All JobsPython Data Analyst JobsSenior Python Data Analyst JobsSenior Python Data Analyst Jobs in Crowley, LA

Senior Python Data Analyst information

See Crowley, LA salary details

$42.4K

$76.6K

$104.6K

How much do senior python data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for senior python data analyst in Crowley, LA is $76,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $83,700.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Analyst vs Data Scientist?

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What cities near Crowley, LA are hiring for Senior Python Data Analyst jobs?

Cities near Crowley, LA with the most Senior Python Data Analyst job openings:

Senior Python Data Analyst jobs near you
Infographic showing various Senior Python Data Analyst job openings in Crowley, LA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $76,573 per year, or $36.8 per hour.

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

FMOLHS

Lafayette, LA • On-site

Full-time

Re-posted 22 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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