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Intern Python Data Analyst Jobs in North Carolina

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

DPDHL

Business Data Analyst II

Winston Salem, NC

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

DHL

Business Data Analyst II

Winston Salem, NC · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Americhem

Data Engineer Intern

Concord, NC · On-site

The intern will work with business and technology teams to help organize data, support reporting and analytics needs, and contribute to the development of reliable data pipelines and data quality ...

Credible

BI Data Analyst III

Durham, NC

$90K - $118K/yr

Experience with a scripting language (preferably Python) for data processing and analysis a plus * Prior experience in the insurance industry or at a startup preferred Must have: * An investigative ...

VHB

Senior Transportation Data Analyst

Raleigh, NC

$98K - $148K/yr

Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ... Minimum of 3+ years of experience with advanced analytics in the engineering/transportation ...

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Intern Python Data Analyst information

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

What is the difference between Intern Python Data Analyst vs Intern Data Scientist?

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

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

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.
Intern Python Data Analyst jobs near you

Senior Data Analyst

IONNA LLC

Raleigh, NC • On-site

$110/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

Job description

Reports To: Chief of Staff
This role requires a full-time onsite presence in Durham, NC
Target Base Range: $110 - 120k (Final compensation commensurate with experience and qualifications)
Please note: We are only able to consider candidates who are U.S. citizens or lawful permanent residents (green card holders) and who do not require current or future visa sponsorship of any sort.
About the Role
We are seeking a highly skilled Senior Data Analyst with a strong foundation in data science, statistical modeling, and advanced analytics and AI platforms to drive data-informed decision-making across the organization. This role sits at the intersection of AI, analytics, data science, and business strategy-transforming complex data into actionable insights, predictive solutions, and measurable outcomes.
The ideal candidate is comfortable working with large, complex datasets, building advanced analytical models, and communicating findings clearly to both technical and non-technical stakeholders.
Key Responsibilities
Data Analytics & Insights
  • Analyze large, complex, and multi-source datasets to uncover trends, patterns, and actionable insights.
  • Translate analytical findings into clear recommendations that influence product strategy, operations, and executive decision-making.
  • Develop data-driven forecasts, simulations, and scenario analyses to support strategic planning.
  • Apply statistical techniques (e.g., regression, hypothesis testing, time-series analysis, clustering) to solve complex business problems.

Data Engineering & Tooling (Analytics-Focused)
  • Develop AI models and datasets to inform business decisions, correlate data and drive decision-making.
  • Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis.
  • Partner with data engineering teams to ensure high-quality, well-structured, and reliable datasets.
  • Maintain internal utilization models and support continual enhancement and development of utilization models.

Leadership & Collaboration
  • Act as a thought leader and mentor for team members and business partners.
  • Collaborate closely with stakeholders across product, finance, operations, marketing, and quality.
  • Help define best practices for analytics, experimentation, and data science across the organization.

Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field (Master's degree preferred).
  • A minimum of 5 years of experience in data analytics, data science, or a related analytical role.
  • Strong knowledge of statistical analysis, modeling techniques, and data science methodologies.
  • Experience working with large datasets and modern data platforms (e.g., cloud data warehouses, distributed systems).
  • Proven ability to translate data insights into business impact.
  • Excellent communication and stakeholder management skills.

Preferred / Nice-to-Have Qualifications
  • Experience deploying or operationalizing machine learning models in a production environment.
  • Familiarity with A/B testing frameworks and experimental design.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and modern analytics stacks.
  • Knowledge of data governance, data quality, and privacy best practices.
  • Prior experience in EV Charging, consumer behavior, technical quality analytics.

What Success Looks Like in This Role
  • You own the pursuit of the truth in everything you do.
  • Analytical insights consistently influence strategic and operational decisions with clarity and conviction.
  • Predictive models and advanced analyses improve forecasting accuracy and business outcomes.
  • Stakeholders trust and rely on analytics outputs for critical decisions.
  • Analytics processes are scalable, efficient, and reproducible.

IONNA is committed to fair and equitable compensation practices through a competitive base salary, as well as offering bonus programs, comprehensive benefits such as medical, dental, vision, life, 401(K), and paid holidays. Actual base salaries are based on several factors unique to each candidate, including but not limited to skill set, experience, certifications, and specific work location.
We are committed to an inclusive and diverse team. IONNA is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

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