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Remote Data Collection Jobs in Washington (NOW HIRING)

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Data Collection and Preparation : Establish protocols for collecting, cleaning, and preprocessing ...

Booz Allen Hamilton

Data Management Analyst

Bethesda, MD · On-site +1

Streamline and automate data collection, validation, and reporting processes using Microsoft 365 ... Experience supporting or developing programs involving digital health technologies such as remote ...

Tuckernuck

Senior Digital Analyst

Washington, DC · On-site +1

$90K - $120K/yr

This position can be based in our Washington, DC Headquarters office or remote. Core ... Ensure data collection respects customers' consent signals and complies with regional data ...

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How much do remote data collection jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for remote data collection in Washington is $28.66, according to ZipRecruiter salary data. Most workers in this role earn between $26.39 and $29.42 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Collection position, and why are they important?

To excel in Remote Data Collection, candidates typically need strong analytical abilities, attention to detail, and proficiency in data entry, often supported by experience with spreadsheets or survey software. Familiarity with data management tools such as Microsoft Excel, Google Forms, or specialized data collection platforms is common, and some roles may require training in data privacy or security. Excellent time management, self-motivation, and clear virtual communication enable success in a remote environment. These skills ensure accurate, reliable data collection while maintaining productivity and collaboration from a distance.

What does a typical workday look like for someone in Remote Data Collection?

A typical day in remote data collection involves gathering, entering, and validating data from various sources such as online surveys, databases, or client submissions. You may collaborate virtually with a team to ensure data accuracy, resolve discrepancies, and report progress. The role often requires managing multiple tasks independently and communicating findings or issues through digital platforms like email or project management tools. While work schedules can often be flexible, meeting deadlines and quality standards is crucial for overall project success.

What is a Remote Data Collection job?

A Remote Data Collection job involves gathering, organizing, and managing data from various sources without needing to be physically present at a specific location. This can include tasks such as conducting surveys, researching online databases, verifying information, or inputting data into digital systems. These roles are common in industries like market research, artificial intelligence training, and business analytics. Strong attention to detail, internet proficiency, and the ability to work independently are key skills for success in this role.

What are the most commonly searched types of Data Collection jobs in Washington? The most popular types of Data Collection jobs in Washington are:
What are popular job titles related to Remote Data Collection jobs in Washington? For Remote Data Collection jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Data Collection jobs in Washington look for? The top searched job categories for Remote Data Collection jobs in Washington are:
What cities in Washington are hiring for Remote Data Collection jobs? Cities in Washington with the most Remote Data Collection job openings:
Remote Data Collection jobs near you
Infographic showing various Remote Data Collection job openings in Washington as of June 2026, with employment types broken down into 50% Part Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $59,620 per year, or $28.7 per hour.
Public Health Data Analyst

Public Health Data Analyst

CyberData Technologies

Herndon, VA • Remote

Full-time

Posted 9 days ago

Job description


Public Health Data Analyst
DNPAO Data Analysis and Management Project

Location: Remote (Atlanta Metropolitan Area Preferred)

*** Must be able to Obtain and Maintain a CDC Public Trust Clearance ***

Job Description

CyberData Technologies is seeking an experienced Public Health Data Analyst to support the Centers for Disease Control and Prevention (CDC), Division of Nutrition, Physical Activity, and Obesity (DNPAO). The selected candidate will provide advanced data management, statistical analysis, and epidemiologic support for public health initiatives focused primarily on breastfeeding, child nutrition, obesity prevention, and related chronic disease prevention programs. This position will support DNPAO's efforts to generate high-quality, reproducible analyses and reports using large national public health datasets. The successful candidate will create and manage complex data systems, develop statistical analysis plans, perform sophisticated epidemiologic analyses, and communicate findings that inform public health programs, policy decisions, and national surveillance activities. The ideal candidate will possess extensive experience working with complex survey data, large public health datasets, advanced statistical methods, and data management practices within federal public health environments.

Job Responsibilities

Data Analysis Planning

  • Develop comprehensive statistical analysis plans that support epidemiologic research and surveillance activities.
  • Identify research questions and hypotheses aligned with programmatic and policy objectives.
  • Determine appropriate inclusion and exclusion criteria for analyses.
  • Evaluate datasets and identify variables necessary to address research objectives.
  • Select appropriate statistical methodologies and software tools to support analyses.
  • Develop table shells, data specifications, and documentation supporting analytical activities.
  • Document all data preparation, transformation, and analytical processes to ensure reproducibility and transparency.

Data Management

  • Collect, review, code, validate, manipulate, and maintain large public health datasets.
  • Create and maintain data dictionaries and metadata documentation.
  • Develop and manage working datasets and analysis files.
  • Perform data cleaning, quality assurance, validation, and integrity checks.
  • Manage data related to breastfeeding, child nutrition, obesity, and other DNPAO program areas.
  • Maintain and analyze data from national surveillance systems and public-use datasets.
  • Access and utilize data files, questionnaires, and documentation from CDC and National Center for Health Statistics (NCHS) data collection systems.

Statistical Analysis and Interpretation

  • Conduct univariable, bivariable, and multivariable statistical analyses using complex survey data methodologies.
  • Analyze large national datasets and interpret findings for technical and non-technical audiences.
  • Produce recurring surveillance reports, statistical summaries, dashboards, and data visualizations.
  • Support annual Healthy People 2030 reporting activities related to maternal and child health indicators.
  • Develop quarterly updates for DNPAO Data, Trends, and Maps reporting systems.
  • Respond to federal partner requests, state-level inquiries, and ad hoc data requests.
  • Conduct analyses using longitudinal and cross-sectional datasets to support public health decision-making.
  • Prepare technical reports, manuscripts, presentations, and summary documents communicating analytical findings.
  • Collaborate with CDC scientists, epidemiologists, program staff, and external stakeholders to support surveillance and evaluation activities.

Public Health Surveillance Support

  • Support analyses involving national public health surveillance systems and large-scale survey datasets.
  • Provide technical expertise related to breastfeeding surveillance, nutrition monitoring, obesity prevention, physical activity, and maternal and child health indicators.
  • Assist in developing evidence-based recommendations that support public health programs and policy initiatives.
  • Ensure analytical methods adhere to CDC standards and best practices for complex survey analysis.

Required Skills and Experience

  • Master's degree or higher in Epidemiology, Biostatistics, Public Health, Statistics, Data Science, Health Sciences, or a related quantitative field.
  • Minimum of three (3) years of professional experience supporting epidemiologic research, public health surveillance, statistical analysis, or related analytical activities.
  • Advanced expertise using statistical software including SAS, SPSS, R, SUDAAN, Epi Info, or similar analytical tools.
  • Extensive experience managing and analyzing large, complex survey datasets that utilize weighting, clustering, and stratification methodologies.
  • Strong knowledge of epidemiologic methods, surveillance systems, and quantitative public health research.
  • Demonstrated experience developing statistical analysis plans and managing large datasets from acquisition through reporting.
  • Experience conducting multivariable statistical analyses and interpreting findings for public health applications.
  • Ability to independently manage multiple analytical projects and respond to ad hoc data requests.
  • Strong written and verbal communication skills, including technical report development and presentation of findings.
  • Experience developing reproducible analytical workflows and maintaining detailed documentation.

Preferred Skills and Experience

  • Experience supporting the Centers for Disease Control and Prevention (CDC) or other federal public health agencies.
  • Experience analyzing National Health and Nutrition Examination Survey (NHANES) data.
  • Experience working with the National Immunization Survey (NIS), National Survey of Children’s Health, National Vital Statistics System (NVSS), Youth Risk Behavior Surveillance System (YRBSS), or similar national surveillance systems.
  • Knowledge of breastfeeding surveillance, maternal and child health, nutrition, obesity prevention, and chronic disease epidemiology.
  • Experience supporting Healthy People objectives, public health surveillance reporting, and policy-related analyses.
  • Familiarity with CDC data management standards and public-use datasets.
  • Experience developing data visualizations, dashboards, and automated reporting processes.
  • Experience working with Azure products (i.e. Databricks), Python and GitHub.