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Junior Data Analyst Part Time Jobs (NOW HIRING)

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$98K - $124K/yr

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 ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$99K - $125K/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 ...

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 ...

Community Health Care Inc

Data Analyst

Bridgeton, NJ · On-site

$150K/yr

Mentor junior analysts and provide technical leadership across clinical systems and data ... EEO CompleteCare offers full-time and part-time employees a variety of generous benefits, including ...

Complete Care NJ

Data Analyst

Bridgeton, NJ · On-site

$50K - $70K/yr

Mentor junior analysts and provide technical leadership across clinical systems and data ... EEO CompleteCare offers full-time and part-time employees a variety of generous benefits, including ...

ULINE

Credit Analyst - Part-Time

Waukegan, IL · On-site

$31/hr

Credit Analyst - Part-Time Pay from $29 to $31 per hour 2200 S. Lakeside Drive, Waukegan, IL 60085 ... Analyze financial data, prepare reports, and present insights to leadership to support business ...

Booz Allen Hamilton, Inc.

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

As a Junior Data Architect, you'll work alongside engineers, analysts, and business stakeholders to ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

The Midtown Group

Be Seen First

Part-Time Data Analyst

Arlington, VA · On-site

$65/hr

We are seeking an experienced Part-Time Data Analyst to support a federal agency in developing, maintaining, and enhancing enterprise data analytics, reporting, and business intelligence solutions.

ULINE

Credit Analyst - Part-Time

Milwaukee, WI · On-site

$31/hr

Credit Analyst - Part-Time Pay from $29 to $31 per hour Corporate Headquarters 12575 Uline Drive ... Analyze financial data, prepare reports, and present insights to leadership to support business ...

LoanCraft LLC

Data Entry Analyst Part-Time

Troy, MI · On-site

$16/hr

The shift schedule for the part time position is Monday-Friday 2:00 pm-6:00 pm or 3:00-7:00 pm ... What You Will Do as a Data Entry Specialist at LoanCraft: * Review and separate loan document ...

ULINE

Credit Analyst - Part-Time

Glenview, IL · On-site

$31/hr

Credit Analyst - Part-Time Pay from $29 to $31 per hour Corporate Headquarters 12575 Uline Drive ... Analyze financial data, prepare reports, and present insights to leadership to support business ...

LoanCraft

Data Entry Analyst Part-Time

Troy, MI · Hybrid

$16/hr

The shift schedule for the part time position is Monday-Friday 2:00 pm-6:00 pm or 3:00-7:00 pm ... What You Will Do as a Data Entry Specialist atLoanCraft: * Review and separate loan document ...

ULINE

Credit Analyst - Part-Time

Pleasant Prairie, WI · On-site

$31/hr

Credit Analyst - Part-Time Pay from $29 to $31 per hour Corporate Headquarters 12575 Uline Drive ... Analyze financial data, prepare reports, and present insights to leadership to support business ...

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

As of Jun 11, 2026, the average yearly pay for junior data analyst part time in the United States is $79,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What is a Junior Data Analyst Part Time job?

A Junior Data Analyst Part-Time job involves assisting in data collection, analysis, and reporting to support business decision-making. Responsibilities may include cleaning and organizing data, creating basic visualizations, and identifying trends. This role is ideal for students or professionals looking to gain experience in data analytics while working fewer hours. Proficiency in Excel, SQL, or Python is often required, along with strong analytical skills.

What are the key skills and qualifications needed to thrive in the Junior Data Analyst Part Time position, and why are they important?

To thrive as a Junior Data Analyst Part Time, you need a solid understanding of statistics, data cleaning, and data visualization, often supported by coursework in analytics, mathematics, or a related field. Familiarity with tools such as Excel, SQL, and introductory experience with data visualization software like Tableau or Power BI is typically required. Strong attention to detail, effective communication skills, and the ability to quickly learn new concepts make candidates stand out. These competencies are essential to accurately interpret data, generate actionable insights, and effectively work within diverse business environments.

What are the main responsibilities of a Junior Data Analyst in a part-time position?

As a Junior Data Analyst working part-time, your typical responsibilities include collecting, cleaning, and organizing datasets, running basic data analyses, and creating straightforward reports or visualizations for team members. You may also be involved in supporting senior analysts with larger projects, updating dashboards, and responding to ad hoc data requests from various departments. Collaboration is common, as you'll frequently work with marketing, finance, or operations teams to help them understand key trends or solve business problems. This role offers a great opportunity to build foundational technical skills while learning how data-driven decisions are made in a professional environment.

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Junior Data Analyst Part Time jobs near you
Senior Data Analyst (Part-Time)

Senior Data Analyst (Part-Time)

ECS

Arlington, VA • On-site

$98K - $124K/yr

Part-time

Posted 3 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.

  • 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.

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