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Part Time Data Analytics Intern Jobs (NOW HIRING)

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover ...

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover ...

Potential Responsibilities: • Data Analysis and Modeling: Conduct in-depth data analysis and ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

... Data and Research) Intern to support our Urban Analytics & Economics practice in our Orlando ... This opportunity is a 6-month part-time paid position, hours are flexible and will be structured to ...

Join Intel as a Data Science and Analytics Undergraduate Intern and become part of a team leveraging data-driven insights to drive innovation and improve business decisions. In this role, you will ...

New

Potential Responsibilities: • Data Analysis and Modeling: Conduct in-depth data analysis and ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

... Data and Research) Intern to support our Urban Analytics & Economics practice in our Orlando ... This opportunity is a 6-month part-time paid position, hours are flexible and will be structured to ...

CAMP is in search of an Aviation Maintenance Analyst (AMA) Intern, who will operate as a virtual ... other data is processed accurately and in a timely manner, and applying aviation technical ...

Business Data Analyst

Plano, TX · On-site

$40 - $42/hr

... or in a part-time data-focused position is a plus. • Proven record of delivering actionable ... data analysis tools and programming languages such as Python or R is highly desirable. • ...

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Part Time Data Analytics Intern information

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$42

How much do part time data analytics intern jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for part time data analytics intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects and responsibilities can a Part Time Data Analytics Intern expect to handle on a weekly basis?

As a Part Time Data Analytics Intern, you can expect to work on a variety of tasks such as data cleaning, preparing reports, and assisting with the development of dashboards. Interns often collaborate with analysts and project managers to support ongoing business initiatives, conduct basic statistical analysis, and visualize data insights. You may also be involved in team meetings to discuss project progress and learn from experienced professionals, helping you build both technical and communication skills relevant to a future analytics career.

What are the key skills and qualifications needed to thrive as a Part Time Data Analytics Intern, and why are they important?

To thrive as a Part Time Data Analytics Intern, you need a foundational understanding of statistics, data analysis, and proficiency in tools like Excel, Python, or R, often supported by coursework or relevant academic background. Familiarity with data visualization software such as Tableau or Power BI and basic knowledge of SQL are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data and present insights clearly. These skills enable interns to contribute meaningful analysis, support business decisions, and learn quickly in a professional data-driven environment.

What does a Part Time Data Analytics Intern do?

A Part Time Data Analytics Intern assists with analyzing data to help organizations make informed decisions. Their tasks often include collecting, cleaning, and organizing data, creating reports or visualizations, and supporting senior analysts with research projects. This role allows interns to gain hands-on experience with data analytics tools and techniques while working a flexible schedule. It is ideal for students or individuals seeking practical exposure to the field of data analytics.

What is the difference between Part Time Data Analytics Intern vs Data Analyst?

AspectPart Time Data Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often in a corporate or tech companyFull-time role, often in an office or remote
Employer & Industry UsageInternship programs in various industries like finance, tech, healthcareFull-time data analysis roles across industries
Search & Comparison IntentLooking for entry-level, part-time data analysis opportunitiesSeeking full-time data analysis careers

The main difference is that a Part Time Data Analytics Intern is an entry-level, temporary position often held by students or recent graduates, focusing on gaining experience. In contrast, a Data Analyst is a full-time professional role requiring more experience and responsibility, with a focus on analyzing data to inform business decisions.

What cities are hiring for Part Time Data Analytics Intern jobs? Cities with the most Part Time Data Analytics Intern job openings:
What are the most commonly searched types of Part Time Data Analytics jobs? The most popular types of Part Time Data Analytics jobs are:
What states have the most Part Time Data Analytics Intern jobs? States with the most job openings for Part Time Data Analytics Intern jobs include:

Data Science Intern

Athenago

Wilmington, DE

Part-time

Posted 27 days ago


Job description

At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.

We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.

Role Overview

The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.

Responsibilities
  • Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.

  • Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.

  • Collaborate closely with data science, product, and engineering teams to integrate models into production systems.

  • Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.

  • Support continuous model optimization and validation efforts.

Qualifications
  • Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.

  • Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.

  • Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.

  • Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.

  • Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.

Preferred Qualifications
  • Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.

  • Prior exposure to recommendation algorithms or matching systems through coursework or projects.

  • Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).

  • Previous internship or project experience demonstrating practical data science applications.

  • Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.

Benefits
  • Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.

  • Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.

  • Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.

  • Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.