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Senior Data Analyst Jobs in Rosedale, MD (NOW HIRING)

Index Analytics

Data Analyst

Baltimore, MD · On-site +1

$75K - $110K/yr

POSITION OVERVIEW The Data Analyst will support data analysis, reporting, and analytics solution delivery in a federal healthcare environment. This role will work with internal and external ...

Index Analytics

Senior Data Scientist

Baltimore, MD · On-site +1

$140K - $200K/yr

Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related ... Position Overview The Senior Data Scientist applies advanced analytics, statistical modeling ...

Index Analytics

Data Analyst

Baltimore, MD · On-site

$75K - $110K/yr

POSITION OVERVIEW The Data Analyst will support data analysis, reporting, and analytics solution delivery in a federal healthcare environment. This role will work with internal and external ...

NOVACES

Senior Data Scientist

Baltimore, MD · On-site

The Senior Data Scientist will design, develop, and maintain data-driven solutions that support ... This role will leverage advanced analytics, data modeling, automation, and data engineering methods ...

NOVACES

Senior Data Scientist

Baltimore, MD · On-site

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center ... This role will leverage advanced analytics, data modeling, automation, and data engineering methods ...

Novaces LLC

Senior Data Scientist

Baltimore, MD · On-site

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center ... This role will leverage advanced analytics, data modeling, automation, and data engineering methods ...

NOVACES

Senior Data Scientist

Baltimore, MD

The Senior Data Scientist will design, develop, and maintain data-driven solutions that support ... This role will leverage advanced analytics, data modeling, automation, and data engineering methods ...

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All JobsData Analyst JobsSenior Data Analyst JobsSenior Data Analyst Jobs in Rosedale, MD

Senior Data Analyst information

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$52.8K

$95.2K

$130K

How much do senior data analyst jobs pay per year?

As of Sep 15, 2026, the average yearly pay for senior data analyst in Rosedale, MD is $95,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $104,100.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a senior data analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
More about Senior Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Rosedale, MD?

The most popular types of Data Analyst jobs in Rosedale, MD are:

What cities near Rosedale, MD are hiring for Senior Data Analyst jobs?

Cities near Rosedale, MD with the most Senior Data Analyst job openings:

Infographic showing various Senior Data Analyst job openings in Rosedale, MD as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $95,176 per year, or $45.8 per hour.

Sr. Research Data Analyst (DOM Infectious Disease)

Baltimore, MD • On-site

Johns Hopkins University
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about Johns Hopkins Universityexternal

$85K - $107K/yr

Full-time

Re-posted 22 days ago

Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

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

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