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Sql Python Internship 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 ...

Python, Java, C+, or C. * Google BigQuery or SQL. * Power Bi or Tableau. (Candidates with at least ... Co-Op/Internship in Manufacturing, Supply Chain, or Distribution with experience applying basic ...

Python, Java, C+, or C. * Google BigQuery or SQL. * Power Bi or Tableau. (Candidates with at least ... Co-Op/Internship in Manufacturing, Supply Chain, or Distribution with experience applying basic ...

Sql Python Internship information

See Lafayette, LA salary details

$12

$55

$82

How much do sql python internship jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for sql python internship 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 the big 4 internships?

The 'Big 4' internships typically refer to internship programs at the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as audit, consulting, tax, and advisory, providing valuable experience for students pursuing careers in finance, accounting, and consulting. For a SQL Python internship, gaining experience at these firms can be beneficial, especially if the role involves data analysis or technology projects.

What is a SQL Python Internship?

A SQL Python Internship is a temporary training position designed for students or recent graduates who want hands-on experience working with SQL databases and Python programming. Interns typically assist with data analysis, database management, and automation tasks using SQL and Python. The role helps individuals develop technical skills, gain exposure to real-world projects, and prepare for a career in data science, analytics, or software development.

Is a Python internship worth it?

A Python internship provides practical experience in programming, data analysis, and scripting, which can enhance your skills and improve employability. For a SQL Python internship, gaining hands-on experience with real-world projects and tools like pandas or SQL databases can be valuable for future roles in data analysis or software development.

What are some common projects or tasks I might work on during a SQL Python Internship?

As a SQL Python intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, building data pipelines, and creating reports or dashboards. Typical tasks may include writing SQL queries to extract or manipulate data from databases, developing Python scripts for automation, and collaborating with data analysts or engineers on ongoing projects. You'll likely participate in team meetings, contribute to code reviews, and receive mentorship to help you develop both technical and professional skills. This hands-on experience is valuable for building a foundation in data engineering or analytics roles.

What are the key skills and qualifications needed to thrive as an SQL Python Intern, and why are they important?

To succeed as an SQL Python Intern, you should have a foundational understanding of database concepts, SQL querying, and Python programming, often supported by coursework or relevant certifications. Familiarity with database management systems like MySQL or PostgreSQL, and experience using tools such as Jupyter Notebooks or version control systems like Git, are typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate and solve problems efficiently. These skills enable interns to contribute to data-driven projects and support the technical needs of their team.

What jobs can you get with SQL and Python?

Jobs that require SQL and Python include data analyst, data scientist, database administrator, business intelligence analyst, and software developer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring proficiency in both programming languages and related tools like SQL databases and data visualization software.

What is the difference between Sql Python Internship vs Data Analyst Internship?

AspectSql Python InternshipData Analyst Internship
Required SkillsSQL, Python, basic data manipulationSQL, Excel, data visualization
Work EnvironmentTech companies, startups, data teamsBusiness, finance, marketing sectors
Industry UsageData engineering, software developmentBusiness insights, reporting

Sql Python Internships focus on developing skills in SQL and Python for data extraction and manipulation, often within tech environments. Data Analyst Internships emphasize data visualization and reporting skills for business decision-making. While both roles involve data handling, Sql Python Internships are more technical and programming-oriented, whereas Data Analyst Internships focus on interpreting data for strategic insights.

Is Python and SQL enough to get a job?

For a SQL Python internship, proficiency in both SQL and Python is essential, but employers often look for additional skills such as data analysis, problem-solving, and familiarity with tools like Git or databases. Gaining practical experience through projects or certifications can improve job prospects, as these skills are commonly required in data-related roles.
Business Analyst

Business Analyst

Stuller

Lafayette, LA • On-site

Other

Posted 9 days ago


Stuller rating

6.7

Company rating: 6.7 out of 10

Based on 9 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.


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