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Python Data Jobs in Louisiana (NOW HIRING)

... Python or PowerShell scripting for validation checks, operational reporting, or basic automation. • Exposure to cloud-native operations, enterprise data platforms, or large-scale analytics ...

Object oriented programming (Java, Python) * Data Analysis experience using large datasets and databases to solve problems * Familiarity with control theory and applications * Experience with custom ...

Object oriented programming (Java, Python) * Data Analysis experience using large datasets and databases to solve problems * Familiarity with control theory and applications * Experience with custom ...

Object oriented programming (Java, Python) * Data Analysis experience using large datasets and databases to solve problems * Familiarity with control theory and applications * Experience with custom ...

Object oriented programming (Java, Python) * Data Analysis experience using large datasets and databases to solve problems * Familiarity with control theory and applications * Experience with custom ...

Object oriented programming (Java, Python) * Data Analysis experience using large datasets and databases to solve problems * Familiarity with control theory and applications * Experience with custom ...

Database Architect

New Orleans, LA · On-site

$58.75 - $75.50/hr

The ideal candidate will possess deep expertise in SQL, Python, modern cloud data platforms, and enterprise ERP ecosystems such as Microsoft Dynamics 365 Finance & Operations or similar ERP solutions.

Object oriented programming (Java, Python) * Data Analysis experience using large datasets and databases to solve problems * Familiarity with control theory and applications * Experience with custom ...

Database Architect

New Orleans, LA · On-site

$58.75 - $75.50/hr

The ideal candidate will possess deep expertise in SQL, Python, modern cloud data platforms, and enterprise ERP ecosystems such as Microsoft Dynamics 365 Finance & Operations or similar ERP solutions.

Database Architect

New Orleans, LA · On-site +1

$58.75 - $75.50/hr

The ideal candidate will possess deep expertise in SQL, Python, modern cloud data platforms, and enterprise ERP ecosystems such as Microsoft Dynamics 365 Finance & Operations or similar ERP solutions.

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 ...

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 ...

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 ...

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 ...

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Python Data information

What is the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries.

What Python jobs are in demand?

Python data-related jobs in demand include data analyst, data scientist, machine learning engineer, and backend developer. These roles often require proficiency in libraries like Pandas, NumPy, and frameworks such as TensorFlow, with employers seeking strong programming skills and experience with data analysis or AI projects.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

Will AI replace Python devs?

Python developers are unlikely to be fully replaced by AI, as their role involves designing, coding, and maintaining complex software systems that require human judgment and creativity. AI tools can assist with tasks like code generation and debugging, but human oversight remains essential for quality and innovation. Staying updated with new frameworks and machine learning techniques can help Python developers remain valuable in the evolving tech landscape.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

What are the key skills and qualifications needed to thrive as a Python Data professional, and why are they important?

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.
What are popular job titles related to Python Data jobs in Louisiana? For Python Data jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Python Data jobs in Louisiana look for? The top searched job categories for Python Data jobs in Louisiana are:

Lead, Institutional Research & Data Analytics

ILHeadStart

Lafayette, LA

Full-time

Posted 24 days ago


Job description

A leading university is seeking an Associate Director of Institutional Research to provide technical leadership and manage data infrastructure. This role involves developing data models, ensuring data quality, and collaborating with stakeholders to deliver actionable insights. The ideal candidate will have a Master's degree and expertise in data management, SQL, and Python. Strong communication and project management skills are essential. Applications are to be submitted online with a cover letter and resume. #J-18808-Ljbffr