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Data Analytics Manager Jobs in Silver Spring, MD

Bloomberg BNA

Data Analytics Manager, Senior

Arlington, VA · On-site

$130 - $170/hr

Partner with Engineering to manage analytics tools ensuring smooth data flow and governance. * Champion responsible data use, ensuring adherence to internal policies and external regulations. You ...

New

Socket.dev

Data Analytics Manager, Senior

Arlington, VA · On-site

$130 - $170/hr

Partner with Engineering to manage analytics tools ensuring smooth data flow and governance. * Champion responsible data use, ensuring adherence to internal policies and external regulations. You ...

New

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal technology services program. This role will ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Silver Spring, MD

Data Analytics Manager information

See Silver Spring, MD salary details

$32K

$100.4K

$177.8K

How much do data analytics manager jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data analytics manager in Silver Spring, MD is $100,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,200.00 and $129,700.00 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 Silver Spring, MD?

The most popular types of Data Analytics jobs in Silver Spring, MD are:

What are popular job titles related to Data Analytics Manager jobs in Silver Spring, MD?

For Data Analytics Manager jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Data Analytics Manager jobs in Silver Spring, MD look for?

The top searched job categories for Data Analytics Manager jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Data Analytics Manager jobs?

Cities near Silver Spring, MD with the most Data Analytics Manager job openings:

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Silver Spring, MD as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $100,426 per year, or $48.3 per hour.

Data Analytics Manager (GYN/OB)

Johns Hopkins University

Baltimore, MD • On-site

Full-time

Posted 4 days ago

Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

191st of 622 rated colleges and universities

Job description

We are seeking a Data Analytics Manager who will create and execute approaches for using quantitative data and methods to understand and review complex issues and business needs of the assigned area. This position has a strong knowledge in analytics, is proficient in a general programming language (like Python) or a statistical package (R) and has an appetite for engaging in non-quantitative aspects of the innovation process.
Specific Duties & Responsibilities
  • Lead the development and implementation of strategies for using quantitative data and methods to understand complex business issues.
  • Shape and conduct approaches for collecting, organizing, and analyzing data, including methods for creating new data (e.g. through surveys) when there is limited or no data.
  • Employ diverse quantitative methodologies and software packages, including data validation, joining of diverse datasets, historical/trend analysis, comparative/cross-sectional analysis, GIS mapping, regression analysis, etc.
  • Invent and quickly iterate novel solutions to challenging data-related problems.
  • Create and manage project plans for the quantitative data components of all teamwork.
  • Develop and manage partnerships and collaborations with data providers and stakeholders.
  • Champion the use of quantitative data to drive decisions.
  • Produce compelling and intuitive data visualizations to drive comprehension of complex topics and concepts across a broad range of stakeholders.
  • Communicate data analysis so that information and findings are accessible to a non-technical audience, including through dashboard tools like Tableau or Microsoft Power BI.
  • Develop metrics and measurement systems to measure the impact of the team's projects and initiatives.
  • Connect data insights to research and collaborate with team members to conduct research sessions including focus groups, interviews, and user testing.
  • Support analogous research and literature reviews.
  • Serve as a key participant in each step of the area's data methodology, providing a quantitative perspective to all projects.
  • Serve as a lead for the data analytics team.
  • Perform other related duties as requested.
  • This position is to support research on reproductive health, maternal and infant outcomes, and health policy.
  • This position is ideal for candidates with strong quantitative and epidemiologic skills who are interested in applying data science to pressing public health issues. The role will involve managing, cleaning, and analyzing large administrative and claims datasets, supporting and leading statistical analyses, drafting manuscripts for publication, and providing broader research support as needed.
  • The Data Analytics Manager will need to, clean, manage, and analyze large, complex datasets using statistical software (e.g., Stata, R).
  • Contribute to study design, data interpretation, and statistical modeling.
  • Draft and edit manuscripts for submission to peer-reviewed journals.
  • Collaborate with research teams across institutions and disciplines.
  • Provide mentorship to graduate students and research assistants, as needed.
  • Minimal travel may be expected for conferences or collaborative meetings.

Minimum Qualifications
  • Bachelor's Degree.
  • Seven years of related experience.
  • Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent permitted by the JHU equivalency formula.
  • PhD in epidemiology, demography, or related field.
  • Five or more year's experience supporting or leading research on related topics.
  • Content area expertise in reproductive and perinatal epidemiology.
  • Extensive experience working with claims data and vital statistics data.
  • Strong publication record.

Technical Skills and Expected Level of Proficiency
  • Data Architecture -Advanced
  • Database Querying - Advanced
  • Data Strategy and Innovation - Advanced
  • Data Visualization - Advanced
  • Project Management - Advanced
  • Program Evaluation - Advanced
  • Stakeholder Engagement - Advanced
  • Statistics - Advanced

The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.
Classified Title: Data Analytics Manager
Role/Level/Range: ATP/04/PE
Starting Salary Range: $41.28 - $72.25 HRLY ($30,544.80 targeted; Commensurate w/exp.)
Employee group: Casual / On Call
Schedule: Monday - Friday 8am - 5pm
FLSA Status: Exempt
Location: Remote
Department name: SOM OB GYN Bay Gynecology Obstetrics Bay
Personnel area: School of Medicine

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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876

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