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Data Analyst Project Manager Jobs in Chester, MD

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

Manage the collection of business and technical requirements from Stakeholders to deliver data ... Hands on experience with Big Data/NoSQL Platforms with experience delivering production projects at ...

Showing results 21-40

Data Analyst Project Manager information

See Chester, MD salary details

$33.5K

$81.4K

$134K

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

As of Sep 3, 2026, the average yearly pay for data analyst project manager in Chester, MD is $81,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $95,600.00 per year, depending on experience, location, and employer.

How do data analyst project managers 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.

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

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.

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.

Can a data analyst be a project manager?

A data analyst can transition into a project management role if they develop skills in leadership, planning, and communication, often supported by certifications like PMP or Agile. While the roles have different core focuses, combining analytical expertise with project management skills can enable a data analyst to effectively lead projects involving data-driven initiatives.

Who earns more, a data analyst or a data analyst project manager?

Data analyst project managers typically earn higher salaries than data analysts due to their additional responsibilities in overseeing projects, managing teams, and strategic planning. Salary differences also depend on experience, industry, and certifications like PMP or advanced analytics skills, with project managers often earning a premium for leadership roles.

What cities near Chester, MD are hiring for Data Analyst Project Manager jobs?

Cities near Chester, MD with the most Data Analyst Project Manager job openings:

Infographic showing various Data Analyst Project Manager job openings in Chester, MD as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $81,408 per year, or $39.1 per hour.

Sr. Research Data Analyst (DOM Infectious Disease)

Johns Hopkins University

Baltimore, MD • On-site

$85K - $107K/yr

Full-time

Re-posted 12 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

190th of 628 rated colleges and universities


Job description

The Center for Infectious Diseases in India (CIDI) in the Division of Infectious Diseases is seeking a Sr. Research Data Analyst (Sr. RDA) to lead analytics for multiple projects within the Center. The Sr. RDA will be active in the data pre-processing stages as well as the analysis and interpretation of results. The Sr. RDA will be involved in designing and developing analysis plans involving genomic analysis (Illumina, nanopore, RNA-seq, and nano String data), application-based data representation (e.g., Rshiny), and epidemiological methods (e.g., mixed methods and predictive analytics). The position will interact with other data analysts, genomics experts, laboratory staff, and clinicians. This position requires the ability to independently analyze and interpret clinical and genomic data, explore and select appropriate analytic methods and models, and conduct statistical analyses independently. Analysis will be interpreted and presented in collaboration with clinical and scientific investigators. The position will include research and study design, data analysis planning and execution, grant applications, and preparation of presentations and publications. The position will work independently and in collaboration with faculty to solve problems posed by the clinical and laboratory investigators along the study design, data generation, collection, and management process, regulatory approvals, adherence to data storage, sharing, and dissemination rules, and to ensure successful progression of associated research projects.
The Sr. Research Data Analyst will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies. The Sr. Research Data Analyst is responsible for the coordination of data and data analysis activities across multiple studies.
Specific Duties & Responsibilities
  • Develop, manage, and maintain a database for study data for multiple studies.
  • Develop standard operating procedures for initial data entry and data updates.
  • Oversee quality control procedures for databases and ongoing analysis.
  • Develop data models.
  • Conduct statistical analyses of data collected in this system to support empirical study.
  • Build transmission models.
  • Create and curate software tools across diverse programming languages in support of research efforts.

Other duties include
  • Consults with investigators to determine their needs with respect to analysis of data in collaboration with a member of the faculty.
  • Maintains appropriate systems for database-associated management, including preparing codebooks, cleaning data, creating analytic data sets, and performing quality assurance/quality control.
  • Carries out appropriate methodological procedures for statistical analysis of data, ranging from descriptive exploratory data analyses to causal inference.
  • Create and curate software tools across diverse programming languages in support of research efforts, with routine translation of data, models, and tools between languages.
  • Prepares written reports of the statistical analyses, including relevant statistical theory, references, methods, results, and conclusions.
  • Plan data management, including determining type format of data and types of documentation, considering privacy, confidentiality, and other ethical issues.
  • Clean data by coding missing data, fixing or deleting miscoded data, transforming variables into more useful formats, and annotating the data properly. Use descriptive statistics to help characterize and summarize the data.
  • Collaborate with clinical and scientific investigators to propose ideas for new projects, design research, develop data plans, and prepare analyses with general direction from investigators.
  • Apply different technical approaches to visualize the data and prepare publication-quality tables and graphs based on analyses.
  • Identify potential data problems from analytic queries and bring them to the attention of the team.
  • Demonstrate understanding of high-dimensional data collection processes and data sets, and share knowledge with collaborators.
  • Collaborate closely with investigators, project managers, and other team leadership to ensure that research study or project results and conclusions are presented accurately and without bias.
  • Demonstrate progress in ability to multi-task and manage time spent working with individual faculty members and on specific projects.
  • Participate in regularly scheduled meetings with study investigators and the team. Prepares progress reports as needed. Maintain appropriate systems for data organization.
  • Ensure data quality for documentation and dissemination of data. Conduct and track specific activities to accomplish project goals, including evaluating and reporting data and documenting analytic procedures.
  • Able to work collaboratively in a team environment with a high degree of initiative and self-motivation.

Minimum Qualifications
  • Master's Degree in a related field.
  • One year of related experience.
  • Highly specialized advanced knowledge, education, and/or training in a specialized field of study to conduct research.
  • Additional education may substitute for required experience, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications
  • Doctoral Degree in a related discipline.
  • Knowledge and practical experience with programming languages (e.g., Java, C or C++), a scripting language (e.g., Perl, Python), and a statistical environment (e.g., R).
  • Familiarity with longitudinal data analysis of epidemiological studies.
  • Comfort with coding and bioinformatics, including both bacterial genomics and host gene expression analysis (primarily Illumina sequencing data).
  • Comfort working in a command-line environment, such as a high-performance computing environment (like the Rockfish cluster).
  • Experience with computers and knowledge of SAS, Python, STATA, or R, as well as either Mac OS or Windows operating systems.
  • Proficiency in Office Suite of applications.

Classified Title: Sr. Research Data Analyst
Role/Level/Range: ACRP/04/MD
Starting Salary Range: $55,800 - $97,600 Annually ($75,000 targeted; Commensurate w/exp.)
Employee group: Full Time
Schedule: M-F 8:30am-5pm
FLSA Status: Exempt
Location: School of Medicine Campus
Department name: SOM DOM Infectious Disease
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