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Entry Level Python Jobs in Lafayette, LA (NOW HIRING)

Build project-level data models (SQL, and some Python) to support analytics and reporting ... Demonstrated early-career experience through internships, co-ops, academic projects, or entry-level ...

Build project-level data models (SQL, and some Python) to support analytics and reporting ... Demonstrated early-career experience through internships, co-ops, academic projects, or entry-level ...

Entry Level Python information

See Lafayette, LA salary details

$12

$55

$82

How much do entry level python jobs pay per hour?

As of May 30, 2026, the average hourly pay for entry level python 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 Are Entry Level Python Jobs?

Entry-Level Python positions can be found in multiple industries because Python is a general-purpose language. The company you work for may shape your development, but your general responsibilities include programming software, writing code, and building web applications. Your duties have you working hands-on with Python to analyze, identify, and develop sourced data. You program efficient approaches to process data and test and troubleshoot systems. In an entry level Python position, you work under higher level programmers and assist with improvements while gaining valuable experience to enhance your skills.

What are the key skills and qualifications needed to thrive as an Entry Level Python Developer, and why are they important?

To thrive as an Entry Level Python Developer, you need a solid understanding of Python programming fundamentals, problem-solving abilities, and a relevant degree or coursework in computer science or related fields. Familiarity with version control systems like Git, basic knowledge of databases, and exposure to development environments such as PyCharm or VS Code are often expected. Strong communication, eagerness to learn, and teamwork skills help you adapt quickly and collaborate effectively with peers. These skills ensure you can contribute to projects, learn from feedback, and grow within dynamic software development teams.

What are some common challenges faced by entry level Python developers in their first role?

Entry level Python developers often encounter challenges such as understanding legacy codebases, adapting to team coding standards, and effectively using version control systems like Git. Additionally, they may need to quickly learn new frameworks or tools relevant to the project. Collaborating with more experienced developers and asking questions is key to overcoming these hurdles and growing technical skills.

What does an Entry Level Python developer do?

An Entry Level Python developer is responsible for writing, testing, and debugging code using the Python programming language. They typically assist in building and maintaining software applications, automating simple tasks, and supporting senior developers in various projects. Entry-level roles are ideal for those new to the field and often focus on learning best coding practices and gaining real-world experience through hands-on projects.

What is the difference between Entry Level Python vs Data Analyst?

AspectEntry Level PythonData Analyst
Required SkillsBasic Python programming, problem-solvingData visualization, SQL, Excel, some Python
CertificationsPython for Beginners, Entry-Level ProgrammingGoogle Data Analytics, Microsoft Excel Certification
Work EnvironmentTech companies, startups, software teamsBusiness, finance, marketing departments
Industry UsageSoftware development, automation, scriptingData analysis, reporting, decision-making

Entry Level Python roles focus on basic programming skills and scripting, often within tech environments. Data Analysts combine Python with data visualization and SQL skills to interpret data for business insights. While both roles require some programming knowledge, Data Analysts typically have broader skills in data handling and reporting, making them more versatile in data-driven industries.

What are the most commonly searched types of Python jobs in Lafayette, LA? The most popular types of Python jobs in Lafayette, LA are:
What are popular job titles related to Entry Level Python jobs in Lafayette, LA? For Entry Level Python jobs in Lafayette, LA, the most frequently searched job titles are:
What job categories do people searching Entry Level Python jobs in Lafayette, LA look for? The top searched job categories for Entry Level Python jobs in Lafayette, LA are:
What cities near Lafayette, LA are hiring for Entry Level Python jobs? Cities near Lafayette, LA with the most Entry Level Python job openings:
Business Analyst

Other

Posted 25 days ago


Stuller rating

6.6

Company rating: 6.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

The Enterprise Analytics team develops and executes data analysis and reporting for multiple purposes, including customer behavior, product performance, financial results, marketing strategies, and production-related efficiency. Their objective is to gain a comprehensive understanding of functional areas and business operations to leverage data and provide insights into performance and its key drivers.

As a Business Analyst reporting to the Executive Director of Enterprise Analytics, you will help turn data into clear reporting and actionable insight. You will build and enhance dashboards and reports, validate data through code, support business users with self-service reporting, and contribute to analytics projects that improve decision-making and operational performance.

Key Responsibilities

  • Write and maintain SQL queries in Snowflake to source, prepare, and validate data for reporting; identify data issues and coordinate with technical partners to resolve them.
  • Develop and enhance dashboards and BI reports in Strategy (formerly MicroStrategy) using established datasets, definitions, and reporting standards; modify existing content to meet evolving business needs.
  • Build project-level data models (SQL, and some Python) to support analytics and reporting deliverables; test outputs against source systems and expected business logic.
  • Gather and document requirements for reporting and analytics requests in assigned support areas; translate business questions into clear specifications, KPI definitions, and acceptance criteria.
  • Support BI users through a mix of scheduled and ad hoc enablement (Jira ticket requests, email/Teams support), including report walkthroughs, targeted training sessions, and guidance on self-service reporting best practices.
  • Perform descriptive and diagnostic analyses (trends, variance, and drivers) and create clear visualizations and presentations that communicate findings and recommendations to stakeholders.
  • Use artificial intelligence tools to improve productivity and quality by refining code, accelerating analysis, automating repetitive/manual tasks, and strengthening project documentation, while following data governance, privacy, and security standards.

Basic Qualifications

  • Bachelor's degree in Analytics, Business, Computer Science, Statistics, or a related field.
  • Demonstrated early-career experience through internships, co-ops, academic projects, or entry-level roles in business intelligence, reporting, analytics, or a related area.
  • Working proficiency in SQL and a foundational understanding of database concepts and data preparation/validation practices.
  • Experience using AI-assisted tools to support coding refinement, analysis workflows, and documentation in a responsible, secure, and compliant manner.
  • Strong communication skills, including ability to explain results, provide status updates, and tailor messaging to different audiences.
  • Strong attention to detail and commitment to data accuracy, testing, and documentation.
  • Ability to manage multiple priorities, organize work, and adapt in a fast-paced environment.

Preferred Qualifications

  • Prior experience with business intelligence applications and Snowflake, plus advanced Excel skills.
  • Familiarity with Python for analysis, automation, or project-level modeling.
  • Experience providing BI user support (training, documentation, office hours, ticket-based support, or similar enablement).
  • Familiarity with Jira or similar tools for tracking work and managing deliverables.
  • Exposure to analytics notebooks (e.g., Hex Technologies) for exploratory analysis or lightweight analytics projects.
  • Exposure to basic statistical concepts and forecasting fundamentals.

This position requires candidates to have unrestricted work authorization in the United States without the need for visa sponsorship, either currently or in the future.