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Data Analytics Manager Jobs in Washington, DC (NOW HIRING)

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Data Analytics Specialist

Dulles, VA · On-site +1

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

Airbus

Data Analytics Specialist

Dulles, VA · On-site

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

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Data Analytics Manager information

See Washington, DC salary details

$35.1K

$110K

$194.8K

How much do data analytics manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data analytics manager in Washington, DC is $110,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $142,100.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Washington, DC?

The most popular types of Data Analytics jobs in Washington, DC are:

What are popular job titles related to Data Analytics Manager jobs in Washington, DC?

For Data Analytics Manager jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Data Analytics Manager jobs in Washington, DC look for?

The top searched job categories for Data Analytics Manager jobs in Washington, DC are:

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Washington, DC as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $110,005 per year, or $52.9 per hour.

Data Analytics Architect

Parsons Corporation

Alexandria, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Parsons rating

7.7

Company rating: 7.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

265th of 449 rated engineering

Job description

In a world of possibilities, pursue one with endless opportunities. Imagine Next!
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.
Job Description:
The Data Analytics Architect leads the design, integration, and governance of data systems that enable advanced analytics, operational insights, and decision support for a government UAS/C-UAS program. The role builds and maintains the data architecture required to fuse sensor feeds, intelligence sources, operational telemetry, and system performance data into secure, scalable, and mission-ready analytics environments. This position collaborates with engineers, operators, analysts, and cybersecurity teams to ensure data solutions align with mission needs, technical constraints, and security requirements.
Job Description:
Specific Responsibilities:
Data Architecture & Engineering
  • Design and maintain enterprise data architectures supporting UAS/C-UAS mission data, including sensor streams, radar feeds, RF signatures, telemetry, and intelligence datasets.
  • Develop data pipelines, ETL/ELT processes, and ingestion frameworks for structured, semi-structured, and unstructured data.
  • Architect cloud, hybrid, or on-premises data environments compliant with government security and accreditation standards.
  • Implement data models, schemas, and metadata structures optimized for analytics, machine learning, and real-time operational use.

Analytics & Decision Support
  • Enable advanced analytics capabilities, including threat detection models, pattern analysis, system performance metrics, and predictive analytics.
  • Partner with data scientists and analysts to operationalize models and integrate them into mission workflows.
  • Develop dashboards, analytic tools, and visualization frameworks that support leadership, operators, and interagency partners.
  • Ensure analytic outputs are accurate, timely, and aligned with mission priorities.

Data Governance & Security
  • Establish data governance policies, data quality standards, and lifecycle management processes.
  • Ensure compliance with classification guidelines, OPSEC, cybersecurity requirements, and cross-domain data transfer rules.
  • Coordinate with cybersecurity teams to implement secure architectures, access controls, and monitoring.
  • Maintain authoritative data catalogs, lineage documentation, and audit trails.

Program Integration & Stakeholder Engagement
  • Work closely with engineering, intelligence, and operational teams to understand mission needs and translate them into data requirements.
  • Support test events, demonstrations, and field operations by ensuring data capture, storage, and analysis capabilities are mission-ready.
  • Provide technical guidance to leadership on data strategy, emerging technologies, and system modernization.
  • Collaborate with interagency partners, industry vendors, and integrators to align data architectures across systems and organizations.

Education and Typical Experience
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field; advanced degree preferred plus 7+ years of experience.
  • Extensive experience designing and implementing data architectures in technical, defense, aerospace, or government environments.
  • Proficiency with modern data engineering tools and frameworks (e.g., SQL/NoSQL databases, data lakes, streaming platforms, cloud services).
  • Strong understanding of analytics, machine learning workflows, and operational data requirements.
  • Experience with secure system design, cybersecurity principles, and government accreditation processes.
  • Ability to obtain and maintain a security clearance (Secret, TS/SCI, or program-specific requirement).

Specialized Knowledge/Skills Requirements
  • Experience with UAS, C-UAS, radar systems, RF analytics, or sensor fusion.
  • Familiarity with DoD or DHS data standards, tactical data links, and operational architectures.
  • Experience with real-time data processing, edge computing, or distributed systems.
  • Knowledge of geospatial data, intelligence data formats, or multi-INT fusion.
  • Background in DevSecOps, containerization, or infrastructure-as-code.

Licenses and Certifications
  • FAA Part 107 Remote Pilot Certification (required)

Physical Requirements / Working Conditions
  • Full-time, 40-hour workweek with flexibility for mission requirements.
  • Travel: Candidates should be willing to travel / TDY away from their home location for up to 30% of a typical work year, potentially to international diplomatic facilities and high-threat environments. Typical deployments are expected to be 7-30 days, however candidates should be willing support deployments up to 90 days in special circumstances
  • Physical requirements can include walking, climbing, crawling through small spaces, and standing or sitting for long periods of time.
  • Must meet most stringent country medical clearance requirements. Position requires adherence to approved vaccination protocols as determined by location.

Security Clearance Requirement:
An active Secret security clearance is required for this position.
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $112,200.00 - $196,400.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.

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