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Python Data Analysis Internship Jobs in North Carolina

Hands-on experience with SQL, Python, R, or similar analytics tools and programming languages. * Experience working with cloud-based analytics platforms or big data tools (preferred). * Understanding ...

Technical Skills Python, SQL, Apache Spark, Machine Learning, Statistical Analysis, Data Visualization, Tableau, Predictive Analytics Business / Domain Skills Product Analytics, Business Intelligence ...

New

Python Developer

Raleigh, NC ยท On-site

$48.75 - $67.25/hr

This role plays a key part in moving data between legacy and modern platforms, ensuring data quality, and enabling analytics and automation through Python and Power BI. Key Responsibilities: Develop ...

*Data Architect* - W2 role

Charlotte, NC ยท On-site

$62.25 - $80/hr

Data Architect Location: Charlotte, NC Duration: Long term Contract Responsibilities: The Data ... analysts and reporting systems. Develop, deploy, and manage AWS Lambda functions written in Python.

Visualize data, create reports, and present findings to senior management and cross-functional teams.โ€ฏ โ€ข Develop statistical models, analytics, and Machine Learning algorithms using Python and ...

Senior Data Analyst

Fayetteville, NC ยท On-site

$79K - $99K/yr

Experience writing queries for data extraction and analysis * Knowledge of SQL * Knowledge of Python, Java, C++, or .NET * TS/SCI clearance * Bachelor's degree in CS, Data Science, or Mathematics ...

Data Analyst, Senior

Fayetteville, NC ยท On-site +1

$79K - $99K/yr

Experience writing queries for data extraction and analysis * Knowledge of SQL * Knowledge of Python, Java, C++, or .NET * TS/SCI clearance * Bachelor's degree in CS, Data Science, or Mathematics ...

Proven experience in data analysis, machine learning, or predictive modeling * Strong proficiency in Python, R, or SQL * Experience with data visualization tools (e.g., Tableau, Power BI) * Knowledge ...

Data Analyst, Senior

Fayetteville, NC

$79K - $99K/yr

Experience writing queries for data extraction and analysis * Knowledge of SQL * Knowledge of Python, Java, C++, or .NET * TS/SCI clearance * Bachelor's degree in CS, Data Science, or Mathematics ...

Associate Data Engineer

Charlotte, NC

$111K - $134K/yr

Familiarity with Python for scripting, automation, or data manipulation a plus * Basic ... internships are encouraged to apply * Bachelor's degree in Computer Science, Data Analytics ...

Proven experience in data analysis, machine learning, or predictive modeling * Strong proficiency in Python, R, or SQL * Experience with data visualization tools (e.g., Tableau, Power BI) * Knowledge ...

Associate Data Engineer

Charlotte, NC ยท On-site

$111K - $134K/yr

Familiarity with Python for scripting, automation, or data manipulation a plus * Basic ... internships are encouraged to apply * Bachelor's degree in Computer Science, Data Analytics ...

Python Developer

Raleigh, NC ยท On-site

$48.75 - $67.25/hr

This role plays a key part in moving data between legacy and modern platforms, ensuring data quality, and enabling analytics and automation through Python and Power BI. Key Responsibilities:

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Python Data Analysis Internship information

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 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 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 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 are the most commonly searched types of Python Data Analysis jobs in North Carolina? The most popular types of Python Data Analysis jobs in North Carolina are:
What are popular job titles related to Python Data Analysis Internship jobs in North Carolina? For Python Data Analysis Internship jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in North Carolina look for? The top searched job categories for Python Data Analysis Internship jobs in North Carolina are:
What cities in North Carolina are hiring for Python Data Analysis Internship jobs? Cities in North Carolina with the most Python Data Analysis Internship job openings:
FT Data and Analytics Manager *Repost*

FT Data and Analytics Manager *Repost*

Johnston Community College

Smithfield, NC โ€ข On-site, Remote

$67K - $85K/yr

Other

Posted 20 days ago


Job description

Description Summary The Data and Analytics Manager supports the College's mission by transforming institutional data into actionable insights that inform strategic planning, enrollment forecasting, institutional effectiveness, and student success initiatives. This position is responsible for managing and optimizing the College's data warehouse (ZogoTech), conducting advanced statistical analyses and predictive modeling, and supporting internal and external reporting requirements. This position may offer flexibility for a hybrid or remote work arrangement, subject to departmental needs and approval.

Please note that the College does not sponsor employment-based visas. **Candidates who previously applied need not to reapply. ** Knowledge & Responsibilities Essential Duties and Responsibilities include the following.

Other duties may be assigned. Conducts advanced statistical analyses and predictive modeling to support strategic enrollment forecasting, academic scheduling, and resource allocation. Manages and queries the College's data warehouse (ZogoTech) to extract, integrate, and analyze institutional data.

Translates complex analytical findings into clear, actionable insights tailored for stakeholders at all levels. Responds to ad hoc data requests from internal and external stakeholders with accurate, timely, and clearly presented information. Develops, maintains, and automates data reports, dashboards, and visualizations to track institutional key performance indicators.

Collaborates with all college units to align data initiatives with institutional goals. Develops and executes data validation procedures to maintain high-quality data standards and ensure the integrity, consistency, and reliability of institutional data. Extracts, cleans, and prepares data using programming languages such as SQL, Python, or SAS for use in reports, dashboards, and predictive models.

Develops and maintains documentation for data processes, reporting standards, and methodologies to ensure clarity, consistency, and repeatability. Ensures compliance with federal and state reporting requirements, including IPEDS and other mandated submissions. Supports planning and assessment processes, accreditation efforts, and strategic decision-making with high-quality data and analysis.

Assists with designing and administering surveys using platforms such as Qualtrics to gather both qualitative and quantitative data. Stays current with trends in higher education data analytics, strategic enrollment management, and institutional effectiveness. Supervisory Responsibilities This position does not have supervisory responsibilities.

Minimum & Preferred Qualifications Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education Minimum: Bachelor's degree in data analytics, statistics, computer science, educational research, or a related field; or equivalent combination of education and experience. Education Preferred: Master's degree in data analytics, institutional research, statistics, or related discipline. Experience Minimum: Two (2) to five (5) years of demonstrated experience in data analysis, predictive modeling, and/or institutional research, preferably in a higher education setting.

Experience Preferred: Experience with data warehousing systems, student information systems, and survey methodology. Additional Information Language Skills Ability to synthesize and communicate complex data in written, verbal, and graphical formats for diverse stakeholders. Ability to write professional reports, documentation, and data summaries.

Mathematical Skills Proficiency in statistical concepts including regression, correlation, and inferential statistics. Demonstrated ability to apply statistical models to real-world problems in education or related fields. Reasoning Ability Strong problem-solving skills with ability to analyze data trends, evaluate methods, and propose actionable recommendations.

Ability to manage multiple tasks and deadlines in a fast-paced, data-driven environment. Computer Skills Proficient in statistical software and programming languages such as SQL, Python, R, or SAS. Proficient in data visualization platforms (e.g., Tableau, Power BI) and survey tools (e.g., Qualtrics)

Familiarity with Microsoft Office Suite and enterprise systems used in higher education. Certificates, Licenses, Registrations: None Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit, use hands and fingers, and talk or hear. The employee is occasionally required to stand, walk, and reach with hands and arms. Specific vision abilities include close vision and the ability to adjust focus.

Reasonable accommodations may be made. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The noise level in the work environment is usually quiet.