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Part Time Data Collection Jobs in Silver Spring, MD

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 ... Strong writing and documentation skills to capture collection of source data, methodology from ...

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Part Time Data Collection information

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$16

$26

$32

How much do part time data collection jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for part time data collection in Silver Spring, MD is $26.16, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $26.83 per hour, depending on experience, location, and employer.

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

To thrive as a Part Time Data Collection Specialist, you generally need strong attention to detail, accuracy, and basic data management skills, often supported by a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (such as Microsoft Excel or Google Sheets), and sometimes mobile data collection apps is typically required. Reliability, effective communication, and strong organizational skills help you stand out in this role. These competencies are essential to ensure the accurate and timely collection of data, which is critical for informed decision-making and project success.

What is the difference between Part Time Data Collection vs Part Time Market Research Interviewer?

AspectPart Time Data CollectionPart Time Market Research Interviewer
Required CredentialsBasic computer skills, sometimes training providedCommunication skills, sometimes training provided
Work EnvironmentRemote or on-site, flexible hoursRemote or on-site, flexible hours
Employer & IndustryResearch firms, survey companiesMarket research firms, survey companies

Both roles often require similar skills and are used in research and survey industries. Data Collection focuses on gathering data through various methods, while Market Research Interviewers conduct interviews to collect consumer insights. They are often interchangeable in job searches, but Data Collection roles tend to emphasize data accuracy and technical tasks, whereas Interviewers focus on communication skills.

What are some common challenges faced in a part-time data collection role, and how can they be managed?

Part-time data collection roles often involve working with tight deadlines, managing large volumes of data, and adapting quickly to changing project requirements. You may encounter challenges such as inconsistent data sources, technical issues with data collection tools, or coordinating with team members remotely. To manage these, it's important to communicate regularly with your supervisor, stay organized with detailed records, and be proactive in seeking clarification when tasks are unclear. Many organizations also provide training and support to help you overcome these obstacles efficiently.

What are part time data collection jobs?

Part time data collection jobs involve gathering, recording, and sometimes analyzing information on a flexible or reduced-hour schedule. These roles can include tasks like conducting surveys, entering data into databases, collecting field data, or compiling information from various sources. They are popular among students, freelancers, or anyone seeking supplemental income and can be found in industries such as research, marketing, healthcare, and more. Many of these jobs can be performed remotely or on-site, depending on the employer's needs.
What are the most commonly searched types of Data Collection jobs in Silver Spring, MD? The most popular types of Data Collection jobs in Silver Spring, MD are:
Part Time Data Collection jobs near you
Infographic showing various Part Time Data Collection job openings in Silver Spring, MD as of July 2026, with employment types broken down into 5% Full Time, and 95% Part Time. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $54,418 per year, or $26.2 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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