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Part Time Data Analytics Intern Jobs in Maryland

Field Intern - Mid Atlantic

Fulton, MD · On-site

$14.75 - $19.50/hr

  • PTO

... Type Part-Time (~ May to August, or other timeframes as permitted) Benefits Paid Time Off ... They should be analytical and possess critical thinking and problem-solving skills. They should ...

... Part-Time, Non-Exempt (W-2) Schedule: 20-24 hours/week, flexible within business hours; some ... Monitor and update local citations and directory listings Analytics & Reporting (10%) * Pull weekly ...

... Part-Time, Non-Exempt (W-2) Schedule: 20-24 hours/week, flexible within business hours; some ... Monitor and update local citations and directory listings Analytics & Reporting (10%) * Pull weekly ...

$22 - $25/hr

In this role, our intern will participate in rotations with focus areas: Customer Support, Product ... Use various applications to analyze source system data and identify data quality issues and ...

$22 - $25/hr

In this role, our intern will participate in rotations with focus areas: Customer Support, Product ... Use various applications to analyze source system data and identify data quality issues and ...

Data Scientist

Fort George G Meade, MD · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 8+ years of experience with data science, data analytics, machine learning engineering ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Part-Time, Non-Exempt (W-2) Schedule:20-24 hours/week, flexible within business hours; some evening ... Monitor and update local citations and directory listings Analytics & Reporting (10%) * Pull weekly ...

Marketing Intern

Waldorf, MD · On-site

$15 - $17/hr

... Part-Time, Non-Exempt (W-2) Schedule: 20-24 hours/week, flexible within business hours; some ... Monitor and update local citations and directory listings Analytics & Reporting (10%) * Pull weekly ...

Data Scientist, Senior

Edgewood, MD · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Your deep analytics expertise, coupled with an original approach to your work, will guide clients ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Showing results 21-40

Part Time Data Analytics Intern information

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 in Maryland are hiring for Part Time Data Analytics Intern jobs?

Cities in Maryland with the most Part Time Data Analytics Intern job openings:

$49K/yr

Full-time, Part-time

Re-posted 9 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER