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Freelance Python Data Analysis Jobs in Gretna, LA

Data Engineer

New Orleans, LA ยท On-site

$110K - $132K/yr

... Python, C#, or Java for data manipulation and automation purposes. * Familiarity with data security protocols and compliance standards related to data management. * Strong analytical and problem ...

Data Engineer

New Orleans, LA ยท On-site

$110K - $132K/yr

... Python, C#, or Java for data manipulation and automation purposes. * Familiarity with data security protocols and compliance standards related to data management. * Strong analytical and problem ...

Data Engineer

New Orleans, LA ยท On-site

$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

We are looking for someone with: -Prior professional journalism experience -The ability to use tools such as Python, SQL or R to scrape, clean and analyze data -Familiarity with using GIS and mapping ...

Lead AI and Data Science Engineer II

New Orleans, LA ยท On-site

$98K - $129K/yr

... data science, analytics, or applied research * Experience using Python and Structured Query ... Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML ...

Prepare reports and data analysis. Perform records management activities. Lead in the training of ... Possess skills in computer programming (Python, SQL), imaging and multimedia. Have solid background ...

Prepare reports and data analysis. Perform records management activities. Lead in the training of ... Possess skills in computer programming (Python, SQL), imaging and multimedia. Have solid background ...

Showing results 21-40

Freelance Python Data Analysis information

See Gretna, LA salary details

$11

$50

$74

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

As of Aug 17, 2026, the average hourly pay for freelance python data analysis in Gretna, LA is $50.58, according to ZipRecruiter salary data. Most workers in this role earn between $41.68 and $57.45 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 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 cities near Gretna, LA are hiring for Freelance Python Data Analysis jobs?

Cities near Gretna, LA with the most Freelance Python Data Analysis job openings:

Infographic showing various Freelance Python Data Analysis job openings in Gretna, LA as of June 2026, with employment types broken down into 87% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $105,208 per year, or $50.6 per hour.

Data Engineer

THE PRUITT GROUP LLC

New Orleans, LA โ€ข On-site

$110K - $132K/yr

Contractor

Re-posted 18 days ago


Job description

We are looking for a talented and driven Data Engineer with strong expertise in Azure Data Factory and other Microsoft technologies to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining data pipelines, integration solutions, and data-centric applications. Your in-depth knowledge of Microsoft technologies and proficiency in Azure Data Factory will be key to optimizing data processing, storage, and analysis.

Responsibilities:

  1. Design and Develop Data Pipelines: Partner with cross-functional teams to gather data requirements and create robust, scalable, and reliable data pipelines using Azure Data Factory and other Microsoft tools, ensuring high data quality.

  2. Data Integration: Consolidate data from diverse sources—including databases, APIs, and third-party platforms—into centralized data lakes or warehouses utilizing Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and related technologies.

  3. Data Transformation: Execute data transformation and cleansing processes to prepare data for analysis, reporting, and business intelligence applications.

  4. Data Modeling: Develop and implement data models and schemas that align with business needs and industry standards, promoting efficient data access for end-users and applications.

  5. Optimization and Performance Tuning: Regularly monitor and fine-tune data pipelines and processing tasks to enhance performance, reduce latency, and ensure accurate, timely data delivery.

  6. Data Security and Compliance: Enforce data security protocols, including encryption and access controls, to protect sensitive information and maintain compliance with data privacy regulations.

  7. Troubleshooting and Issue Resolution: Diagnose and resolve data engineering challenges, debugging pipelines and processes to uphold system performance and data accuracy.

  8. Collaboration and Documentation: Collaborate with data scientists, analysts, and other stakeholders to address data needs, while maintaining thorough documentation of pipelines, models, and integration workflows.

  9. Cloud Infrastructure Management: Oversee Azure cloud resources, monitor usage, and apply best practices for cost-effective infrastructure management.

  10. Continuous Learning and Improvement: Keep abreast of the latest Azure Data Factory developments and Microsoft technologies, integrating best practices and innovative solutions to continually enhance data engineering processes.

Requirements:

  1. A Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
  2. Demonstrated experience as a Data Engineer with a strong emphasis on Microsoft technologies, especially Azure Data Factory.
  3. Advanced skills in SQL, data modeling, and working with database platforms such as Azure SQL Database, Azure Synapse Analytics, and Cosmos DB.
  4. Hands-on experience designing and developing data pipelines using Azure Data Factory or comparable ETL/ELT tools.
  5. Solid understanding of cloud-based data storage and processing solutions within the Microsoft Azure ecosystem.
  6. Knowledge of data warehousing principles and data integration methodologies.
  7. Proficiency in programming languages like Python, C#, or Java for data manipulation and automation purposes.
  8. Familiarity with data security protocols and compliance standards related to data management.
  9. Strong analytical and problem-solving abilities with a keen attention to detail.
  10. Excellent communication and collaboration skills, capable of working effectively within cross-functional teams.
  11. Relevant Microsoft certifications (e.g., Azure Data Engineer Associate) are preferred.
  12. Experience with Microsoft Fabric is a plus but not required.