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Data Analyst Project Manager Jobs in Virginia (NOW HIRING)

Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD ... Demonstrated ability to lead technical projects, manage complex stakeholder relationships, and ...

Project Manager (60%): This position is responsible for providing the project and programmatic ... Data Analyst (40%): * Works in cross-functional teams with data at all stages of the analysis ...

Project Manager (60%): This position is responsible for providing the project and programmatic ... Data Analyst (40%): * Works in cross-functional teams with data at all stages of the analysis ...

Project Manager (60%): This position is responsible for providing the project and programmatic ... Data Analyst (40%): * Works in cross-functional teams with data at all stages of the analysis ...

The ideal Project Manager will also have an understanding and appreciation for data, analytics, and technology, and will have involved in the design, build, test, deploy phases of data analytics and ...

The ideal Project Manager will also have an understanding and appreciation for data, analytics, and technology, and will have involved in the design, build, test, deploy phases of data analytics and ...

The ideal Project Manager will also have an understanding and appreciation for data, analytics, and technology, and will have involved in the design, build, test, deploy phases of data analytics and ...

Data Analyst needed to create and customize SSRS reports, analyze, clean and load SQL data for migration project, and create Business Intelligence reports and dashboards. Mgr agrees to initial ...

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Data Analyst Project Manager information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do data analyst project manager jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data analyst project manager in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst Project Manager, and why are they important?

To thrive as a Data Analyst Project Manager, you need expertise in data analysis, project management methodologies, and a relevant degree such as in statistics, computer science, or business. Familiarity with data visualization tools (e.g., Tableau, Power BI), project management software (e.g., Jira, Asana), and certifications like PMP or CAPM are often required. Strong communication, problem-solving, and leadership skills help you bridge technical teams and stakeholders while managing timelines and expectations. These abilities ensure that data-driven projects are executed efficiently, deliver actionable insights, and meet organizational goals.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, providing insights, and making strategic decisions that require domain knowledge and critical thinking. Skills in data visualization, statistical analysis, and tools like SQL and Python remain valuable in this evolving environment.

What is a data analyst project manager?

A data analyst project manager is a professional who combines skills in data analysis and project management to oversee data-related projects. They coordinate teams, set timelines, and ensure the delivery of actionable insights using tools like SQL, Excel, or data visualization software. Strong communication and organizational skills are essential for managing project scope and stakeholder expectations.

Can I make 100k as a project manager?

A project manager can earn $100,000 or more annually, especially with experience, certifications like PMP, and managing large or complex projects. Salaries vary by industry, location, and company size, but senior project managers often reach or exceed this level.

What is the difference between Data Analyst Project Manager vs Data Analyst?

AspectData Analyst Project ManagerData Analyst
Primary RoleOversees data projects, manages teams, and ensures project deliveryAnalyzes data, creates reports, and provides insights
Required SkillsProject management, data analysis, communicationData analysis, statistical skills, visualization
CertificationsPM certifications (e.g., PMP), data analysis toolsData analysis certifications (e.g., Microsoft, SAS)
Work EnvironmentProject teams, cross-functional collaborationData-focused teams, analytics departments

The main difference is that a Data Analyst Project Manager combines project management with data analysis skills to lead data initiatives, while a Data Analyst primarily focuses on analyzing data and generating insights. The Project Manager role involves overseeing projects from start to finish, coordinating teams, and ensuring timely delivery, whereas the Data Analyst role centers on data interpretation and reporting.

How do Data Analyst Project Managers typically balance analytical work with project management responsibilities?

Data Analyst Project Managers often split their time between overseeing project timelines and deliverables, and performing or reviewing data analysis tasks. This dual focus means they must prioritize effective communication and delegation, ensuring that project goals are met while maintaining high standards for data quality and insights. Collaboration with data analysts, stakeholders, and other project managers is essential, as they often facilitate meetings, translate technical findings into actionable recommendations, and resolve obstacles that might affect the project's progress. Successfully managing both aspects requires strong organizational skills and the ability to adapt to shifting priorities.

Can a data analyst become a project manager?

A data analyst can become a project manager by developing skills in leadership, communication, and project planning, often supported by certifications like PMP or Agile. Transitioning typically involves gaining experience in managing projects and understanding broader business objectives beyond data analysis.
What are the most commonly searched types of Data Analyst Project jobs in Virginia? The most popular types of Data Analyst Project jobs in Virginia are:
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What cities in Virginia are hiring for Data Analyst Project Manager jobs? Cities in Virginia with the most Data Analyst Project Manager job openings:
Data Analyst

Data Analyst

Sigmatech, Inc.

Arlington, VA โ€ข Hybrid

Full-time

Posted 13 days ago


Job description

About Our Organization

DASA DE&C manages the Army's Security Assistance and Armaments Cooperation programs that engage allies and partners across the full spectrum of Army acquisition to achieve force dominance. We lead the U.S. Army Security Assistance Enterprise (ASAE), providing leadership, resource management and policy oversight. We build the capabilities of allies and partners, strengthen relationships with our foreign partners, and strengthen the U.S. industrial base.

Position Overview

As a Data Analyst, you will lead complex analytical projects and advise IAD leadership on the development and execution of enterprise data strategies. Your primary function is to analyze how the directorate uses data and recommend improvements to its processes, systems, and strategies. You will oversee projects to modernize data infrastructure, lead initiatives to enhance data-driven insights, and mentor other analysts on best practices. This position requires a unique blend of technical data expertise, strategic thinking, and the ability to advise senior leaders on transforming complex data into actionable organizational improvements.

Core Duties and Responsibilities

  • Strategic Advisory & Stakeholder Engagement: Serve as a strategic advisor to Army and DoD leadership, providing actionable insights and recommendations to improve enterprise-level decision-making processes. Build and maintain strong working relationships with OSD, industry partners, and the ASAE. Represent IAD's analytical capabilities in high-level engagements and cross-functional working groups.
  • Enterprise Analytics & Process Improvement: Conduct in-depth analysis of demand forecasting, production data, and resource planning to identify opportunities for organizational improvement. Lead projects to enhance automated workflows for data transformation, validation, and ingestion into Army and OSD platforms such as Vantage and Advana.
  • Organizational Enablement & Innovation: Advise on the design and development of innovative data applications and tools to replace legacy systems, improving efficiency and data accessibility. Identify and recommend process improvements across the data lifecycle, and support user adoption of new tools and methods to align data initiatives with mission objectives.

Essential Requirements

  • Security Clearance: Must possess and maintain an active Secret security clearance.
  • Education: Bachelor's degree in a Science, Technology, Engineering, Math (STEM), Business, or a related field.
  • Experience: A minimum of six (6) years of professional experience in data analytics, business analysis, or a related field.
  • Technical Skills: Advanced proficiency in MS Excel (e.g., Power Query, VBA), SQL, and Python. Experience building and maintaining dashboards (e.g., Tableau, Qlik Sense, Power BI) and automating reporting pipelines.
  • Leadership & Communication: Demonstrated ability to lead technical projects, manage complex stakeholder relationships, and communicate analytical concepts effectively to senior leaders.

Preferred Qualifications

  • Experience: Previous experience working within the U.S. Government (Army preferred). Experience leading cross-functional data projects.
  • Certifications: Certified Scrum Master (CSM) or formal training in AI, machine learning, or advanced business analytics.
  • Domain Knowledge: Familiarity with Army acquisition processes, security cooperation programs, or defense industry practices.

Work Environment

  • Location: Arlington, VA.
  • Travel: May be required up to 25% of the time to CONUS locations for temporary duty (TDY).
  • Schedule: This is a hybrid position requiring residency in the Washington D.C. metropolitan area.
  • Collaboration: Regardless of physical location, all team members are required to maintain a full virtual presence and actively participate in team meetings, discussions, and collaborative efforts via MS Teams, or other collaborative applications as directed during core business hours.