ZipRecruiter

Log In

2

Part Time Data Analyst Student Jobs (NOW HIRING)

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$73.76 - $76.17/hr

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding. Responsibilities include: * Work as ...

Noel Test Staffing

Data Analyst Overseas

Teaneck, NJ · Remote

At Peroptyx, we are looking for Data Analysts who will review mapping data for digital mapping ... are a student looking to earn as you learn, a retiree looking for a new challenge a part-time ...

The Pennsylvania State University

$17/hr

CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with ... is seeking applicants for part-time job of Data Extraction Programming, an upper-level ...

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

Jill Frisch

Remote Data Analyst

Dallas, TX · On-site +1

$50K - $63K/yr

As a Data Analyst at Jill Frisch & Freeze MiniMart, you will be responsible for collecting ... Job Type: Full-time, Part-time What we offer: Compensation: Jill Frisch & Freeze Minimart has an ...

Booz Allen Hamilton, Inc.

Data Analyst, Mid

San Antonio, TX · On-site +1

$61K - $141K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$98K - $124K/yr

Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source ...

Brown University

Lead Data Analyst

Hall, NY · Hybrid

The Lead Data Analyst will participate in data management, statistical analysis, assist with grant ... Fixed Term (Fixed Term) Time Type: Part time Scheduled Weekly Hours: 18 Position Work Location:

One Call

Data Analyst II

$55K - $83K/yr

... Part-time Full Time Salary Range Min - Max (USD) $55700 - $83500 Country United States Date 30-Jun ... Analyze data and design/generate reports that evaluate program performance for both internal and ...

One Call

Data Analyst II

$55K - $83K/yr

... Part-time Full Time Salary Range Min - Max (USD) $55700 - $83500 Country United States Date 30-Jun ... Analyze data and design/generate reports that evaluate program performance for both internal and ...

next page

Showing results 1-20

All JobsData Analyst Student JobsPart Time Data Analyst Student Jobs

Part Time Data Analyst Student information

See salary details

$34K

$82.6K

$136K

How much do part time data analyst student jobs pay per year?

As of Jul 23, 2026, the average yearly pay for part time data analyst student in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

AspectPart Time Data Analyst StudentPart Time Data Analyst Intern
Required CredentialsEnrolled in a related degree program, basic knowledge of data analysis toolsEnrolled in a relevant program, some prior experience or coursework in data analysis
Work EnvironmentAcademic setting, part-time hours, often flexibleCorporate or organizational setting, project-based, may have structured training
Employer & Industry UsageUniversities, research projects, educational institutionsBusinesses, tech companies, marketing agencies, industry-specific roles

In summary, a Part Time Data Analyst Student typically balances coursework with part-time data analysis tasks, often in academic or research settings. An intern, however, usually works within a company, gaining practical industry experience, often with more structured training and project responsibilities.

What cities are hiring for Part Time Data Analyst Student jobs? Cities with the most Part Time Data Analyst Student job openings:
What are the most commonly searched types of Data Analyst Student jobs? The most popular types of Data Analyst Student jobs are:
Part Time Data Analyst Student jobs near you
Senior Data Analyst (Part-Time)

Senior Data Analyst (Part-Time)

ECS

Arlington, VA • On-site

$73.76 - $76.17/hr

Part-time

Posted 14 days ago

Job description

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding.
Responsibilities include:
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting, summarizing, and reporting.
  • Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
  • Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
  • Assist with training and conference development which may include presentations to large audiences.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Coordinate with staff and customers to identify business and technical requirements.
  • Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.
  • Assist the agency in the development of programming and visualization solutions.
  • Troubleshoot and provide support on existing projects or application efforts.
  • Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Analyze Postal Service operations to identify potential fraud schemes, actors, and methods.
  • Participate in site visits with staff and interpret in-the-field observations, identify corresponding data, perform analysis, and identify broader findings.

Salary Range: $73.76-$76.17
General Description of Benefits
  • Must be able to obtain a USPS Public Trust
  • Degree in Computer Science, Information Technology, Data Analytics, or related field.
  • 7+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
  • 3+ years' experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
  • 1+ year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
  • In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
  • Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
  • Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Ensure that quality/security guidelines are followed.
  • Strong relational database and querying languages experience.
  • Strong verbal and written communication skills.
  • Must be able to work effectively in a team environment.
  • Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
  • Knowledge of ODBC connection strings, and other external data source connection protocols.
  • Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.
  • Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).
  • Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.
  • Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Experience applying analytic techniques to detect fraud in Postal Service operations.
  • Extensive background in statistical analysis and skilled in advanced statistical methods and software.
  • Able to work independently or with teams across functions professionally.
  • Capable of writing concise, comprehensive communications on complex issues for the intended audience.
  • Able to communicate methodology and results clearly in writing and verbally, including findings from research.

Apply