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Redcap Data Analyst Jobs in Washington, DC (NOW HIRING)

Conduct participant interviews and support qualitative data collection efforts. * Perform ... Experience using NVivo, Covidence, R, Qualtrics, REDCap, or similar research software. * Experience ...

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Redcap Data Analyst information

See Washington, DC salary details

$38.5K

$93.6K

$154K

How much do redcap data analyst jobs pay per year?

As of Aug 29, 2026, the average yearly pay for redcap data analyst in Washington, DC is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

What is a Redcap Data analyst?

A Redcap Data Analyst is a professional who specializes in managing, analyzing, and reporting data collected using the REDCap (Research Electronic Data Capture) platform. They are responsible for designing data collection instruments, ensuring data quality, and performing statistical analyses to support research projects. Redcap Data Analysts often collaborate with researchers, clinicians, and IT teams to streamline data workflows and provide actionable insights from research data. Their expertise ensures that data is accurately captured, securely stored, and effectively analyzed for research purposes.

How does a Redcap Data analyst typically collaborate with research teams during a clinical study?

A Redcap Data Analyst works closely with research coordinators, principal investigators, and biostatisticians to design, implement, and manage data collection instruments within the REDCap platform. They provide technical guidance on data structure, ensure data integrity, and troubleshoot issues as they arise. Regular meetings and clear communication are essential, as analysts translate research needs into database solutions and help interpret data outputs for accurate reporting. This collaborative environment supports high-quality research and facilitates smooth project workflows.

What are the key skills and qualifications needed to thrive as a Redcap Data analyst, and why are they important?

To thrive as a Redcap Data Analyst, you need strong analytical skills, experience with data management, and a background in statistics or related fields, often supported by a relevant degree. Proficiency with REDCap software, database query tools like SQL, and familiarity with data visualization or statistical analysis programs such as R or Python are typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and collaborating with research teams. These competencies ensure accurate data collection and analysis, supporting reliable research outcomes and informed decision-making.

What is the difference between Redcap Data Analyst vs Clinical Data Coordinator?

AspectRedcap Data AnalystClinical Data Coordinator
Required CredentialsBachelor's in health informatics, data science, or related field; experience with REDCapBachelor's in health sciences, nursing, or related; experience with clinical data management
Work EnvironmentResearch institutions, healthcare organizations, academic settingsHospitals, clinics, research sites
Employer & Industry UsagePrimarily research-focused, data analysis, database managementClinical trial support, patient data management, regulatory compliance

Both roles involve managing health data, often using REDCap, but the Redcap Data Analyst focuses more on data analysis and reporting, while the Clinical Data Coordinator handles data collection and quality in clinical settings.

Infographic showing various Redcap Data Analyst job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.

Data Management / Data Analysis Specialist

Integrated Business & Technical Consultants

Vienna, VA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Integrated Business & Technical Consultants, Inc. (IBTCI), a U.S.-based international development consulting company established in 1987, has worked in over 100 countries and implemented over 300 projects. IBTCI serves government agencies, private-sector companies, and donor organizations. IBTCI specializes in monitoring, evaluation, research, and learning (MERL) and institutional support across sectors including conflict and crisis, democracy and governance, agriculture, economic growth, food security, education, environment, and global health.

Assignment Title: Data Management / Data Analysis Specialist

Department/Location: Remote, with possible travel to target countries

Technical Point of Contact: Team Leader

Type: Consultant, Short-term / Intermittent

Classification: Consultancy

Overview: IBTCI is seeking a Data Management / Data Analysis Specialist to support a proposed Livelihoods Framework and Evaluations assignment. The specialist will program and code data-collection instruments; establish secure, well-documented data flows; process incoming qualitative and quantitative data; conduct cleaning, quality control, analysis, and visualization; and support consistent reporting across 13 project evaluations. The role requires careful management of concurrent country datasets and transparent, reproducible analytical workflows.

Essential Duties/Tasks and Responsibilities:

  • Translate approved questionnaires, interview guides, checklists, and scorecards into reliable electronic data-collection instruments using appropriate platforms.
  • Program skip logic, range and consistency checks, required fields, unique identifiers, consent gates, language versions, metadata, and secure submission workflows.
  • Develop and maintain data-management plans, data dictionaries, codebooks, file-naming conventions, access controls, version-control procedures, and data-retention and destruction protocols.
  • Receive, inventory, merge, de-identify, and securely store quantitative and qualitative data from field teams, implementing organizations, and secondary sources.
  • Perform daily or scheduled data-quality checks for completeness, duplication, missingness, outliers, logical inconsistencies, interview duration, enumerator patterns, and protocol deviations; document and resolve queries with field teams.
  • Clean, recode, label, derive, and prepare analysis-ready datasets while preserving raw data and a transparent audit trail of all transformations.
  • Prepare quantitative tabulations and statistical outputs and support qualitative coding, codebook management, retrieval, and thematic analysis.
  • Integrate qualitative and quantitative evidence into triangulation matrices and maintain evidence links supporting scorecard ratings, findings, conclusions, and recommendations.
  • Create clear tables, charts, and other data visualizations for monthly updates, evaluation reports, scorecards, slide decks, and stakeholder presentations.
  • Protect confidentiality and personally identifiable information and comply with approved IRB, consent, safeguarding, data-protection, and implementing-organization requirements.

Minimum Qualifications:

  • At least 5 years of professional experience in evaluation data management, research data processing, quantitative or qualitative analysis, or a closely related function.
  • Demonstrated experience programming or coding electronic data-collection instruments and implementing field validation and skip logic.
  • Experience cleaning, quality-checking, merging, labeling, and documenting multi-source datasets from surveys, interviews, focus groups, checklists, or administrative records.
  • Proficiency in Excel and at least one quantitative analysis package such as SPSS, Stata, R, or Python.
  • Experience with at least one electronic data-collection platform such as KoboToolbox, SurveyCTO, ODK, Qualtrics, REDCap, or a comparable system.
  • Experience with qualitative data coding or qualitative analysis software, or demonstrated ability to manage coded qualitative datasets.
  • Ability to produce accurate, accessible, decision-oriented data visualizations and tables.
  • Strong attention to detail, documentation, data security, and deadline management.
  • Excellent written and oral communication skills in English.

Education: Bachelor's degree in statistics, data science, information systems, economics, social sciences, evaluation, public policy, or another relevant field.

Preferred Knowledge, Skills, and Abilities:

  • Master's degree in a relevant field.
  • Experience supporting multi-country livelihoods, humanitarian, agriculture, food security, or economic-development evaluations.
  • Experience in low-connectivity, multilingual, fragile, or conflict-affected field settings.

Work environment: This position is primarily remote and computer-based and requires secure handling of confidential evaluation data.

Physical Requirements: This position requires the ability to speak, hear, see, use a computer or mobile device, and lift small objects up to 20 lbs. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential functions.

Supervisory Responsibility: This position has no supervisory responsibility.

Travel: Limited travel may be required.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this assignment. Duties, responsibilities, and activities may change at any time with or without notice.