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Part Time Survey Data Analyst 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 ...

Brevium

Data Analyst Assistant

American Fork, UT · On-site

$20 - $22/hr

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

McSteen Land Surveyors

Licensed Surveyor

Wickliffe, OH · On-site +1

$40 - $50/hr

... you! Part time role (potential for seasonal work). Key Responsibilities: * Review and analyze ... Verify the accuracy and completeness of survey data, including boundaries, dimensions, and other ...

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 ...

Futran Tech Solutions Pvt. Ltd.

Sr. Data Analyst

$88K - $111K/yr

We are requesting a part-time (50%) Sr Data Analyst contractor from the US, who can be available as early as 730 PT to work with our offshore IST team and support multiple projects. The location ...

Arcadis

Survey CADD Technician

Atlanta, GA · On-site

$42K - $63K/yr

... analyzing quality of data, and processing of field data, including GPS. • Posses strong CADD ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

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 ...

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Part Time Survey Data Analyst information

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How much do part time survey data analyst jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for part time survey data analyst in the United States is $30.24, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $33.65 per hour, depending on experience, location, and employer.

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

To thrive as a Part Time Survey Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data analysis or a related field. Familiarity with tools such as Excel, SPSS, or R, as well as experience with survey platforms, is typically required. Attention to detail, critical thinking, and effective communication help you interpret data and present findings clearly. These skills ensure accurate data analysis, actionable insights, and successful reporting in support of organizational goals.

What is the difference between Part Time Survey Data Analyst vs Part Time Market Research Analyst?

AspectPart Time Survey Data AnalystPart Time Market Research Analyst
Required CredentialsTypically a bachelor's degree in statistics, data analysis, or related fieldUsually a bachelor's degree in marketing, business, or related area
Work EnvironmentData collection, analysis, and reporting, often in research firms or corporate settingsMarket research firms, consulting agencies, or corporate marketing departments
Employer & Industry UsageUsed in industries conducting surveys, public opinion polls, and data collection projectsUsed in marketing, advertising, and consumer research sectors

While both roles involve analyzing data related to surveys, the Part Time Survey Data Analyst focuses more on statistical analysis and data processing, whereas the Part Time Market Research Analyst emphasizes understanding market trends and consumer insights. Both roles require similar educational backgrounds and are often found in research or marketing environments, but their primary focus differs slightly.

What are some common challenges faced by part-time survey data analysts, and how can they be addressed?

Part-time survey data analysts often face challenges such as managing multiple projects with tight deadlines, ensuring data accuracy despite limited hours, and staying aligned with full-time team members. To address these challenges, it's helpful to establish clear communication with supervisors about workload expectations, use efficient data analysis tools, and regularly check in with the team to stay updated on priorities. Time management and proactive collaboration are key to maintaining productivity and delivering high-quality insights in a part-time setting.

What is a Part Time Survey Data Analyst?

A Part Time Survey Data Analyst is a professional who collects, processes, and analyzes survey data on a part-time basis. Their primary responsibilities include cleaning survey responses, using statistical tools to interpret results, and generating reports to help organizations make informed decisions. They often work with software like Excel, SPSS, or Python to manage and visualize data. This role is ideal for individuals seeking flexible hours and who have strong analytical and communication skills. Part-time positions may be found in industries such as market research, healthcare, education, or government.
More about Part Time Survey Data Analyst jobs
What cities are hiring for Part Time Survey Data Analyst jobs? Cities with the most Part Time Survey Data Analyst job openings:
What are the most commonly searched types of Survey Data Analyst jobs? The most popular types of Survey Data Analyst jobs are:
What states have the most Part Time Survey Data Analyst jobs? States with the most job openings for Part Time Survey Data Analyst jobs include:
What job categories do people searching Part Time Survey Data Analyst jobs look for? The top searched job categories for Part Time Survey Data Analyst jobs are:
Part Time Survey Data Analyst jobs near you
Infographic showing various Part Time Survey Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $62,896 per year, or $30.2 per hour.
Senior Data Analyst (Part-Time)

Senior Data Analyst (Part-Time)

ECS

Arlington, VA • On-site

$73.76 - $76.17/hr

Part-time

Re-posted 4 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.

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