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Digital Analytics Manager Jobs in Virginia (NOW HIRING)

The Database & Digital Fundraising Manager leads the administration, optimization, and integration ... Reporting, Analytics & Optimization * Design and deliver reports to support strategic decision ...

We are looking for a Digital Paid Media Manager to lead performance-driven advertising initiatives ... The ideal candidate combines strong analytical ability with hands-on campaign management experience ...

Digital Paid Media Manager

Virginia Beach, VA ยท On-site

$79K - $103K/yr

Track campaign KPIs, analyze performance data, and provide actionable recommendations. * Develop ... managing digital marketing staff. * Stay current on emerging advertising technologies, AI ...

Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class ... The Digital Solutions Manager supports MSD's global projects and business operations through the ...

Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class ... The Digital Solutions Manager supports MSD's global projects and business operations through the ...

Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class ... The Digital Solutions Manager supports MSD's global projects and business operations through the ...

Showing results 41-60

Digital Analytics Manager information

See Virginia salary details

$38.7K

$113.3K

$148.7K

How much do digital analytics manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for digital analytics manager in Virginia is $113,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $133,300.00 per year, depending on experience, location, and employer.

How does a digital analytics manager typically collaborate with marketing and product teams?

A Digital Analytics Manager works closely with marketing and product teams to interpret data, define KPIs, and provide actionable insights that drive campaign optimization and product improvements. Regular meetings are often held to discuss performance trends, align on reporting needs, and brainstorm data-driven strategies. Effective communication and the ability to translate complex analytics into clear recommendations are essential for ensuring that all teams are aligned and working toward shared business goals.

What is a digital analytics manager?

A Digital Analytics Manager is a professional responsible for collecting, analyzing, and interpreting data from digital channels such as websites, social media, and online campaigns. Their main goal is to provide insights that help businesses make data-driven decisions to optimize marketing strategies and improve user experience. They often work with various analytics tools, create reports, and collaborate with different teams to implement data-backed recommendations. This role requires strong analytical skills, technical expertise in digital analytics platforms, and the ability to communicate findings effectively to stakeholders.

What are the key skills and qualifications needed to thrive as a digital analytics manager, and why are they important?

To thrive as a Digital Analytics Manager, you need strong analytical skills, experience with data interpretation, and a background in marketing, statistics, or a related field, often supported by a relevant degree. Proficiency in analytics platforms like Google Analytics, Adobe Analytics, and data visualization tools such as Tableau or Power BI, along with certifications in these tools, is typically required. Exceptional communication, problem-solving abilities, and leadership skills help you translate complex data into actionable insights and collaborate across teams. These skills ensure you can drive data-informed strategies that optimize digital performance and business outcomes.

What is the difference between Digital Analytics Manager vs Data Analyst?

AspectDigital Analytics ManagerData Analyst
Required CredentialsBachelor's degree in Marketing, Business, or related field; experience with analytics toolsBachelor's degree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentOversees digital marketing data, collaborates with marketing teamsAnalyzes data sets across departments, often in a more technical role
Employer & Industry UsageUsed in marketing, e-commerce, advertising sectorsCommon across finance, healthcare, tech, and other industries

The Digital Analytics Manager focuses on managing digital marketing data and strategies, while the Data Analyst handles broader data analysis tasks across various departments. Both roles require analytical skills and familiarity with data tools, but the Digital Analytics Manager emphasizes digital marketing insights and team leadership.

What are the most commonly searched types of Digital Analytics jobs in Virginia? The most popular types of Digital Analytics jobs in Virginia are:
What job categories do people searching Digital Analytics Manager jobs in Virginia look for? The top searched job categories for Digital Analytics Manager jobs in Virginia are:
What cities in Virginia are hiring for Digital Analytics Manager jobs? Cities in Virginia with the most Digital Analytics Manager job openings:
Infographic showing various Digital Analytics Manager job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $113,339 per year, or $54.5 per hour.

Digital Forensics Analyst

Applied Information Sciences

Alexandria, VA โ€ข On-site

Full-time

Re-posted 13 days ago


Job description

Why AIS?
When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.
  • Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.
  • Continuous Learning: Access to resources, training, and mentorship to support your professional growth.
  • Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.
  • Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?
At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.
What you will be doing?
This position is contingent upon contract award. We are currently pursuing a proposal and are seeking qualified candidates to include in our submission and identify candidates for future hiring needs on the program once awarded.
At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Security Engineer.
  • Core Knowledge & Skills: Designs secure architectures, leverages advanced threat detection, leads incident response, and implements security automation.
  • Work & Complexity: Manages complex incidents, conducts threat analysis, leads audits, and implements process improvements.
  • Quality & Independence: Delivers high-quality reports, aligns practices with industry standards, and operates with high autonomy.
  • Teamwork & Communication: Leads team projects, collaborates cross-functionally, mentors juniors, and resolves conflicts.
  • Consulting & Engagement: Provides strategic consulting, leads improvement initiatives, recommends advanced technologies, and manages vendor relationships.
As your initial project assignment, you will support the unique needs of our client as a Digital Forensics Analyst.Project Summary
The Digital Forensics Analyst is responsible for conducting advanced forensic examinations across a wide range of digital systems, environments, and devices. This role performs deep-dive investigations involving endpoint activity, network traffic, malware, cloud platforms, and virtualized environments. The ideal candidate has hands-on experience with digital media acquisition, malware analysis, cloud forensics, and the use of modern security technologies to support threat hunting and investigative operations.
This is a proposal-based position; employment is contingent upon contract award and funding availability.
Key Responsibilities
Digital Forensic Analysis
  • Conduct forensic examinations on Windows, Linux, and MacOS systems.
  • Perform digital media acquisition, including disk imaging, preservation, and chain-of-custody documentation.
  • Execute mobile device acquisition and analysis, including iOS and Android platforms.
  • Perform malware analysis to determine behavior, indicators of compromise (IOCs), and impact.

Cloud & Virtual Environment Forensics
  • Investigate virtualized environments, including Virtual Machines and associated logs/artifacts.
  • Perform cloud-based forensic analysis using:
    • Microsoft 365
    • Azure
    • AWS
  • Analyze cloud-native logs such as CloudTrail, IAM logs, and other platform security telemetry.

Threat Hunting & Investigative Activities
  • Utilize EDR, SIEM, and full packet capture tools to examine endpoint behavior, network activity, and anomalous patterns.
  • Conduct proactive threat hunting to identify previously undetected malicious activity.
  • Correlate forensic data with threat intelligence to support broader investigations.

Tools, Documentation & Reporting
  • Leverage industry-standard forensic tools, including EnCase and SANS methodologies.
  • Generate detailed forensic reports for technical stakeholders, legal teams, and leadership.
  • Maintain strict adherence to evidence handling, analysis integrity, and investigative best practices.

Required For This Opportunity
  • Minimum of 5 years of experience conducting or supporting digital forensic investigations, including:
    • Windows, Linux, and MacOS forensic analysis
    • Disk imaging and media preservation
    • Mobile device forensic acquisition and analysis
    • Malware analysis
  • Experience conducting forensic investigations in M365, Azure, and AWS environments.
  • Ability to analyze virtualized systems and cloud-native telemetry (CloudTrail, IAM logs).
  • Extensive experience using:
    • Endpoint Detection & Response (EDR)
    • Security Information & Event Management (SIEM)
    • Full packet capture platforms
  • Strong analytical, documentation, and evidence-handling skills.
  • Clearance: Secret

Certifications: One or more of these certifications
  • SANS GIAC
  • GCIH - Incident Handler
  • GCFA - Forensic Analyst
  • GCFE - Forensic Examiner
  • GREM - Malware Reverse Engineering
  • GISF - Information Security Fundamentals
  • GXPN - Exploit Research & Advanced Pen Testing
  • GCTI - Cyber Threat Intelligence
  • GOSI - Open-Source Intelligence
  • EnCase Certifications (EnCE, CFSR, ENCEP)

Nice To Have Skills
  • Experience working in federal, law enforcement, or regulated environments.
  • Background in threat intelligence and advanced incident response.
  • Familiarity with scripting or automation (Python, PowerShell) for forensic workflows.
At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member.The targeted base salary range for this role is $101,000-$152,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.
Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.