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Manager Qualitative Data Analysis Jobs in Virginia

Data Analysis Manager

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong understanding of data quality, metadata management, governance, and lineage frameworks. * Experience applying analytical methodologies such as coverage analysis, gap analysis, lift analysis ...

Data Analysis Manager

Reston, VA

  • Medical

  • Dental

  • Vision

  • PTO

Strong understanding of data quality, metadata management, governance, and lineage frameworks. * Experience applying analytical methodologies such as coverage analysis, gap analysis, lift analysis ...

Data Analysis Manager

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Strong understanding of data quality, metadata management, governance, and lineage frameworks. * Experience applying analytical methodologies such as coverage analysis, gap analysis, lift analysis ...

Data Analyst - GEOINT Technical SME

Springfield, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analysis and Visualization:Develop data analytics and visualizations by applying proven ... Data and Metrics Management:Capture, maintain, and accumulate statistics that show quantities and ...

Data Scientist - Mid

Fort Belvoir, VA · On-site

$120K - $155K/yr

... them acquire, manage, analyze, and improve mission-focused technology, data, and business ... Transform quantitative and qualitative data into clear visual products, dashboards, reports, and ...

Data Scientist - Mid

Springfield, VA · On-site

$120 - $155/hr

... them acquire, manage, analyze, and improve mission-focused technology, data, and business ... Transform quantitative and qualitative data into clear visual products, dashboards, reports, and ...

Data Analyst - GEOINT Technical SME

Charlottesville, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analysis and Visualization:Develop data analytics and visualizations by applying proven ... Data and Metrics Management:Capture, maintain, and accumulate statistics that show quantities and ...

Data Scientist Senior

Fort Belvoir, VA · On-site

$140K - $173K/yr

... managers to define business needs, clarify analytical questions, and translate requirements into technical solutions. * Transform complex quantitative and qualitative data into clear dashboards ...

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Showing results 1-20

Manager Qualitative Data Analysis information

What is a manager qualitative data analysis?

A Manager Qualitative Data Analysis is a professional responsible for leading teams that collect, analyze, and interpret qualitative data, such as interviews, focus groups, and open-ended survey responses. They design research methodologies, ensure data quality, and translate findings into actionable insights for organizations. This role often involves project management, team supervision, and collaboration with stakeholders to support decision-making based on non-numerical data.

What are the key skills and qualifications needed to thrive as a manager qualitative data analysis?

To thrive as a Manager Qualitative Data Analysis, you need advanced expertise in qualitative research methods, data coding, and analytical frameworks, often supported by a relevant graduate degree. Familiarity with qualitative data analysis software such as NVivo, ATLAS.ti, or MAXQDA, as well as experience managing research projects, is essential. Strong leadership, critical thinking, and effective communication skills help guide teams and translate findings into actionable insights. These skills are crucial for ensuring rigorous, insightful analysis and impactful outcomes in research-driven environments.

What are some common challenges faced by a manager qualitative data analysis, and how can they be addressed?

A Manager of Qualitative Data Analysis often encounters challenges such as ensuring data validity, managing large volumes of unstructured data, and maintaining consistency across coding teams. Addressing these requires establishing clear coding protocols, regular team calibration meetings, and leveraging qualitative analysis software for organization and transparency. Additionally, fostering open communication with stakeholders helps align research objectives and ensures actionable insights are delivered.

What is the difference between Manager Qualitative Data Analysis vs Data Analyst?

AspectManager Qualitative Data AnalysisData Analyst
ResponsibilitiesOversees qualitative data projects, manages teams, develops strategiesAnalyzes data sets, creates reports, supports decision-making
Required SkillsQualitative research, leadership, project managementStatistical analysis, data visualization, technical skills
Work EnvironmentTeam management, strategic planning, client interactionData processing, analysis, reporting
CertificationsOften requires experience in qualitative research methods, project management certificationsStatistical or data analysis certifications like CAP, Microsoft Excel certifications

The main difference is that a Manager Qualitative Data Analysis focuses on leading qualitative research projects and managing teams, while a Data Analyst primarily conducts data analysis and reporting. Managers handle strategic planning and oversee projects, whereas Data Analysts execute technical analysis tasks. Both roles require strong analytical skills, but their scope and responsibilities differ significantly.

Is qualitative research a stressful job?

Qualitative data analysis can be stressful due to tight deadlines, the need for careful interpretation, and managing complex data sets. However, it often involves collaborative work and the use of analytical tools, which can help manage workload and reduce stress levels.

What are the most commonly searched types of Qualitative Data Analysis jobs in Virginia?

The most popular types of Qualitative Data Analysis jobs in Virginia are:

What are popular job titles related to Manager Qualitative Data Analysis jobs in Virginia?

For Manager Qualitative Data Analysis jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Manager Qualitative Data Analysis jobs in Virginia look for?

The top searched job categories for Manager Qualitative Data Analysis jobs in Virginia are:

What cities in Virginia are hiring for Manager Qualitative Data Analysis jobs?

Cities in Virginia with the most Manager Qualitative Data Analysis job openings:

Data Analyst Mid - GEOINT Technical SME

Tulk LLC

Charlottesville, VA • On-site

$121K - $155K/yr

Full-time

Re-posted 4 days ago


Job description

Data Analyst - GEOINT Technical SME - Mid

TULK is a leading boutique consulting firm providing technology and management consulting services to the U.S. Federal Government. Our expert team supports Defense, Intelligence Community, and National Security customers by helping them acquire, manage, analyze, and improve mission-focused technology, data, and business capabilities.

We are seeking a Data Analyst - GEOINT Technical SME - Mid to support geospatial intelligence, business analytics, data visualization, and mission data management activities. This role is ideal for a cleared data professional with experience applying data analytics, GEOINT tools, scripting, and visualization techniques to support decision-making, improve business processes, and deliver actionable insights to mission stakeholders.

About the Work

The Data Analyst - GEOINT Technical SME - Mid will support data analysis, model development, dashboarding, metrics reporting, and data-driven business process improvement. The role involves working with stakeholders, project managers, and subject matter experts to clarify business needs, analyze data from multiple sources, develop visual products, support analytic tools, and help improve organizational performance.

This position requires the ability to transform quantitative and qualitative data into clear, useful, and mission-relevant insights. The candidate should be comfortable working in classified environments, supporting Intelligence Community stakeholders, and using data tools to improve understanding of mission, operational, business, and technical issues.

Your Duties

  • Develop data analytics, dashboards, reports, charts, graphs, and other visualizations using industry-standard data analysis and data science practices.
  • Transform complex data sets from multiple sources into understandable visual products that support leadership, mission, and business decision-making.
  • Collaborate with project requestors, stakeholders, subject matter experts, and project managers to refine requirements and clarify business objectives.
  • Use data analytics to identify issues, draw logical conclusions, form business insights, and recommend ways to improve organizational performance and efficiency.
  • Support the development, integration, maintenance, and sustainment of analytic models, visualizations, and tools.
  • Support risk scoring, anomaly detection, performance monitoring, metrics tracking, and related data analysis implementations as required.
  • Capture, maintain, and analyze statistics, timelines, system performance data, and other operational metrics.
  • Prepare reports, briefings, dashboards, and visual summaries for internal teams, technical stakeholders, and leadership audiences.
  • Support policy, process, and business operations activities by contributing data analysis, technical editing, documentation, and reporting support.
  • Use scripting and automation techniques to manipulate, analyze, clean, transform, or visualize data as needed.
  • Support geospatial data analysis and related GEOINT mission activities using applicable tools, data sets, and technical methods.
  • Work independently and collaboratively in a dynamic environment with changing priorities and short suspense timelines.

Required Skills and Experience

  • Top Secret / SCI security clearance
  • U.S. Citizenship
  • Bachelor’s degree in Data Science, Statistics, Business, Geography, Geospatial Information Systems, Computer Science, Information Systems, or a related field, or equivalent relevant experience.
  • 6 or more years of relevant experience developing data analytics, visualizations, analytic models, dashboards, or data-driven business products.
  • Demonstrated experience using data to form business insights, draw logical conclusions, and support performance-improving strategies.
  • Demonstrated experience collaborating with stakeholders to clarify project needs, business objectives, data requirements, and analytical questions.
  • Experience creating and editing visual content such as charts, graphs, dashboards, and briefing materials to represent data clearly.
  • At least 12 months of demonstrated experience using one or more geospatial or GEOINT-related tools such as ArcGIS, ArcView, RemoteView, ArcIMS, ERDAS Imagine, or similar geospatial analysis tools.
  • Demonstrated coding or scripting experience using tools such as Python, Java, or similar languages to support data manipulation, analysis, automation, or visualization.
  • Demonstrated ability to use SharePoint, Tableau, Redmine, databases, or other systems to manipulate data, manage information, and build data visualizations.
  • Strong organizational and communication skills, with the ability to work effectively in a team-oriented mission environment.
  • Proficiency with Microsoft Office tools, including Excel and PowerPoint.

Desired Skills and Experience

  • Experience supporting GEOINT, Intelligence Community, Department of Defense, or national security missions.
  • Experience supporting insider threat, risk scoring, anomaly detection, or similar security-focused analytics programs.
  • Experience with policy development, process improvement, business operations, or performance management initiatives.
  • Experience with GEOINT analysis software, NGA mission applications, geospatial data sets, or mission reporting tools.
  • Experience using Tableau, Python, SQL, GIS tools, SharePoint, or other business intelligence and data visualization platforms.
  • Experience preparing executive-level briefings, technical reports, dashboards, and visual summaries for senior stakeholders.
  • Experience with data quality analysis, data cleansing, data transformation, and data integration across multiple sources.

Work Environment

  • Work is performed in support of Federal, Defense, Intelligence Community, and national security missions.
  • Work may be performed in classified environments and requires compliance with applicable security, information handling, and customer site requirements.
  • Normal work hours are generally Monday through Friday during standard business hours, unless otherwise required by mission needs.