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Qualitative Analysis Jobs in Virginia (NOW HIRING)

In this role, you will perform quantitative and qualitative analysis of program and contract data to identify trends, risks, and opportunities for improvement related to system integration, logistics ...

Program Analyst

Fort Belvoir, VA · On-site

$99K - $144K/yr

In this role, you will perform quantitative and qualitative analysis of program and contract data to identify trends, risks, and opportunities for improvement related to system integration, logistics ...

Policy Analyst

Fort Belvoir, VA · On-site

$99K - $144K/yr

In this role, you will perform quantitative and qualitative analysis of program and contract data to identify trends, risks, and opportunities for improvement related to system integration, logistics ...

Qualitative Analysis * Quantitative Analysis * Analytic Operations * Knowledge Management * Tradecraft Standards * Cognitive Argumentation * System Capabilities Assessment * Vulnerability Assessment

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Qualitative Analysis information

See Virginia salary details

$45.6K

$116.5K

How much do qualitative analysis jobs pay per year?

As of Sep 12, 2026, the average yearly pay for qualitative analysis in Virginia is $111,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $115,500.00 per year, depending on experience, location, and employer.

What is qualitative analysis?

Qualitative analysis is a research method focused on understanding concepts, opinions, or experiences through non-numerical data such as interviews, observations, and text analysis. Unlike quantitative analysis, which relies on numbers and statistics, qualitative analysis seeks to explore patterns, themes, and meanings in data. It is commonly used in fields like social sciences, marketing, education, and healthcare to gain deeper insights into human behavior and motivations. The process often involves coding data, identifying themes, and interpreting the findings to answer research questions.

How does a qualitative analyst typically collaborate with cross-functional teams during a research project?

Qualitative analysts often work closely with cross-functional teams such as product managers, UX designers, and marketing specialists throughout a research project. They facilitate stakeholder interviews to gather varied perspectives, present key findings in accessible formats, and participate in brainstorming sessions to translate insights into actionable strategies. Regular communication and feedback loops ensure that research outcomes align with business objectives and that insights are effectively integrated into decision-making processes.

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

To thrive as a Qualitative Analyst, you need strong research skills, expertise in data collection methods like interviews and focus groups, and often a background in social sciences or related fields. Familiarity with qualitative data analysis software such as NVivo, Atlas.ti, or MAXQDA, and sometimes certifications in qualitative research methods, are commonly required. Excellent critical thinking, communication, and attention to detail are essential soft skills for interpreting nuanced data and presenting findings clearly. These abilities ensure accurate, insightful analysis that drives meaningful organizational decisions and research outcomes.

What is the difference between Qualitative Analysis vs Data Analyst?

AspectQualitative AnalysisData Analyst
Required CredentialsTypically a degree in social sciences, marketing, or related fieldsDegree in statistics, mathematics, or related fields
Work EnvironmentResearch settings, consulting firms, marketing agenciesCorporate offices, data-driven departments, tech companies
Industry UsageMarket research, social sciences, user experienceBusiness intelligence, finance, healthcare
Common Search/ComparisonFocuses on non-numerical insightsFocuses on numerical data and trends

Qualitative Analysis involves interpreting non-numerical data like interviews and observations, often used in social sciences and market research. Data Analysts primarily work with numerical data to identify trends and support decision-making. While both roles analyze data, Qualitative Analysis emphasizes understanding context and meaning, whereas Data Analysts focus on quantitative metrics.

Is qualitative analysis a stressful job?

Qualitative analysis can be stressful due to the need for attention to detail, critical thinking, and meeting deadlines. The level of stress varies depending on the work environment, workload, and experience of the analyst, but it generally involves analytical and interpretive skills rather than physical demands.

What do qualitative analysts do?

Qualitative analysts examine non-numerical data such as interviews, focus groups, and observations to identify patterns, themes, and insights. They often use methods like content analysis and coding, and may utilize software tools such as NVivo or Atlas.ti. Their work supports understanding behaviors, motivations, and perceptions in research or business contexts.

What skills are needed for qualitative analysis?

Qualitative analysis requires strong critical thinking, excellent communication skills, and the ability to interpret non-numerical data such as interviews, observations, and textual information. Familiarity with research methods, data coding, and analysis tools like NVivo or Atlas.ti is also important for effectively conducting qualitative research.
Infographic showing various Qualitative Analysis job openings in Virginia as of August 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $111,457 per year, or $53.6 per hour.

Data Management / Data Analysis Specialist

Vienna, VA • On-site

Other

Posted 15 days ago


Key responsibilities

  • Program and code data-collection instruments, including questionnaires, interview guides, checklists, and scorecards.

  • Manage, process, and ensure the quality of incoming qualitative and quantitative data from various sources.

  • Create data visualizations, tables, and charts for reports, updates, and stakeholder presentations.


Job description

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Data Management / Data Analysis Specialist

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

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.

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