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Data Analytics Graduate Jobs in Baltimore, MD (NOW HIRING)

State of Maryland

Innovation Data Analyst

Baltimore, MD · On-site

$67K - $87K/yr

... data analysis. This position requires significant independent judgement to interpret and apply the ... graduate level education at an accredited college or university in a human services related field ...

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Data Analytics Graduate information

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How much do data analytics graduate jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data analytics graduate in Baltimore, MD is $54.40, according to ZipRecruiter salary data. Most workers in this role earn between $43.70 and $61.63 per hour, depending on experience, location, and employer.

What is a data analytics graduate?

A Data Analytics Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, or related fields. It typically involves collecting, cleaning, analyzing, and visualizing data to help organizations make data-driven decisions. Graduates in this role may work with tools like SQL, Python, Excel, and data visualization software to interpret trends and patterns. They often collaborate with different departments to provide insights that optimize business processes. This role serves as a foundation for more advanced positions in data analytics or data science.

What are typical career paths or growth opportunities for a data analytics graduate?

As a Data Analytics Graduate, you often start by supporting more senior analysts with data preparation, exploratory analysis, and report generation. Over time, you can advance to positions such as Data Analyst, Business Intelligence Analyst, or Data Scientist, depending on your interests and ongoing skill development. Many organizations encourage further training and offer mentorship to help you specialize in areas like machine learning, data engineering, or domain-focused analytics. With experience and demonstrated impact, leadership roles such as Analytics Manager or Team Lead become attainable, providing broader responsibilities and strategic input into organizational decision-making.

What are the key skills and qualifications needed to thrive in the data analytics graduate position, and why are they important?

To thrive as a Data Analytics Graduate, you need a solid understanding of statistics, data modeling, and analytical techniques, usually supported by a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is highly valued, and certifications in these can provide an added advantage. Strong problem-solving abilities, attention to detail, and effective communication skills help you distill complex data sets into actionable insights and present findings to diverse stakeholders. These skills are essential for delivering data-driven solutions that support business decisions and foster organizational growth.

Is a master's degree in data analytics worth it?

For a data analytics graduate, a master's degree can enhance technical skills such as statistical analysis and data visualization, potentially leading to higher-level roles and increased salary. However, practical experience, certifications, and proficiency with tools like SQL and Python are also highly valued in the field and can sometimes substitute for advanced degrees. The decision depends on career goals and the specific requirements of employers in the industry.

What can I do with a master's degree in data analytics?

A master's degree in data analytics prepares graduates for roles such as data analyst, data scientist, or business intelligence analyst, involving skills in statistical analysis, data visualization, and programming with tools like SQL, Python, or R. These roles typically require strong analytical thinking, familiarity with data management, and the ability to interpret complex data to support decision-making.

What kind of jobs can I get with a degree in data analytics?

A degree in data analytics qualifies you for roles such as data analyst, business analyst, data scientist, and operations analyst. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and visualization software. Strong analytical skills and knowledge of statistical methods are essential for these jobs.

What are the most commonly searched types of Data Analytics Graduate jobs in Baltimore, MD?

The most popular types of Data Analytics Graduate jobs in Baltimore, MD are:

What are popular job titles related to Data Analytics Graduate jobs in Baltimore, MD?

For Data Analytics Graduate jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Data Analytics Graduate jobs in Baltimore, MD look for?

The top searched job categories for Data Analytics Graduate jobs in Baltimore, MD are:

Data Analytics Graduate jobs near you
Infographic showing various Data Analytics Graduate job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $113,149 per year, or $54.4 per hour.

Data Analytics Manager (GYN/OB)

Johns Hopkins University

Baltimore, MD • On-site

Full-time

Posted 2 days ago

New

Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

190th of 620 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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