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Python Data Analysis Internship Jobs in Huntsville, AL

... mapping analysis. A key responsibility is visualizing Field Service performance through dynamic ... Experience with programming languages such as Python. * Familiarity with cloud platforms ...

... data analysis tools (Excel, Python/pandas, SQL, Snowflake, or equivalent) Experience producing ... threat assessments, vulnerability analysis products, or structured analytic products Familiarity ...

... in data analysis tools (Excel, Python/pandas, SQL, Snowflake, or equivalent) · Experience producing threat assessments, vulnerability analysis products, or structured analytic products · ...

... in data analysis tools (Excel, Python/pandas, SQL, Snowflake, or equivalent) • Experience producing threat assessments, vulnerability analysis products, or structured analytic products • ...

Network Data Analyst

Huntsville, AL · On-site

$69K - $73K/yr

... mapping analysis. A key responsibility is visualizing Field Service performance through dynamic ... Experience with programming languages such as Python. * Familiarity with cloud platforms ...

Data Engineer

Huntsville, AL · Hybrid

$109.20K - $131.10K/yr

Collect, store, process, and analyze raw and/or complex data from multiple sources, recommend ways ... Experience in Python and SQL required * Experience with cloud platforms like Amazon Web Services ...

In your role as a Data Scientist, you will use statistical techniques to plan tests and analyze and ... Deep knowledge of common programming languages (Python, R, Julia), data science packages and ...

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

As of May 30, 2026, the average hourly pay for python data analysis internship in Huntsville, AL is $22.17, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

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

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

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

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What are the most commonly searched types of Python Data Analysis jobs in Huntsville, AL? The most popular types of Python Data Analysis jobs in Huntsville, AL are:
What are popular job titles related to Python Data Analysis Internship jobs in Huntsville, AL? For Python Data Analysis Internship jobs in Huntsville, AL, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in Huntsville, AL look for? The top searched job categories for Python Data Analysis Internship jobs in Huntsville, AL are:
Infographic showing various Python Data Analysis Internship job openings in Huntsville, AL as of May 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 89% Physical, and 11% Remote job distribution, with an average salary of $46,122 per year, or $22.2 per hour.
Network Data Analyst

Other

Posted 27 days ago


LG Electronics rating

7.5

Company rating: 7.5 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

73rd of 137 rated electronics manufacturers


Job description

What we can offer: 

A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. 

 We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill-and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! 

 The Opportunity:

The Network Data Analyst will act as the primary point of contact for managing and optimizing data from LG Field Service systems. This role focuses on building and automating data structures to improve field operations and enhance territory mapping analysis.

A key responsibility is visualizing Field Service performance through dynamic dashboards and automated reporting. The analyst will partner closely with cross-functional teams to develop, calculate, and analyze Field Service KPIs, identify trends and improvement opportunities, and deliver clear, actionable insights to leadership.

Responsibilities:

  • Design, build, and maintain automated dashboards and performance trackers to support business visibility.
  • Utilize business intelligence tools such as Tableau, Google Data Studio, and Google Sheet to develop impactful data visualizations.
  • Prepare accurate operational reports and forecasts using BI platforms and ERP systems to help drive performance against goals.
  • Streamline and automate planning processes in partnership with analytics teams, leveraging key insights to support continuous improvement.
  • Gather, consolidate, and analyze data from multiple sources, transforming it into clear, actionable insights for leadership.
  • Support the development and execution of strategies to optimize LG's preferred network coverage.
  • Perform detailed analyses of current processes, systems, and data flows to identify inefficiencies and recommend enhancements.
  • Partner with cross-functional stakeholders to design and implement data-driven solutions.
  • Develop geographic and territory map visualizations in Tableau to analyze network coverage.

Education / Experience (Requirements):

  • Bachelor's degree in Business, Economics, Data Science, or a related field (Data Analytics, Business Analytics, Computer Science, etc.).
  • Advanced proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, etc.) is required.
  • Experience with business intelligence tools and dashboard development (e.g., Tableau, Google Data Studio).
  • Strong analytical and problem-solving skills with the ability to collaborate effectively across cross-functional teams.
  • Travel requirement: Typically less than 10%.

Preferred Qualifications:

  • Bilingual proficiency in both Korean and English
  • Experience using SQL for data querying.
  • Experience with programming languages such as Python.
  • Familiarity with cloud platforms, specifically Google Cloud Platform (GCP).

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