ZipRecruiter

Log In

1

Data Analyst Intern Jobs in Timonium, MD (NOW HIRING)

T. Rowe Price

HR Data Analyst

Owings Mills, MD · Hybrid

The Analyst will gather data and analyze compensation trends in the external market, make recommendations to ensure that T. Rowe Price jobs are appropriately aligned for internal equity and external ...

CLEAResult

EV Charging Station Data Analyst

Columbia, MD · On-site

$61K - $78K/yr

The EV Charging Station Data Analyst will assist with the collection, processing, and analyzing of electric vehicle (EV) charging station data from numerous network service providers to generate a ...

CLEAResult

EV Charging Station Data Analyst

Columbia, MD · On-site

$61K - $78K/yr

The EV Charging Station Data Analyst will assist with the collection, processing, and analyzing of electric vehicle (EV) charging station data from numerous network service providers to generate a ...

CareFirst

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

The purpose of a Sr. Data Analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better ...

New

previous pagenext page

Showing results 21-40

All JobsData Analyst Intern JobsData Analyst Intern Jobs in Timonium, MD

Data Analyst Intern information

See Timonium, MD salary details

$11

$21

$40

How much do data analyst intern jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data analyst intern in Timonium, MD is $21.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.56 per hour, depending on experience, location, and employer.

What does a data analyst intern do?

A Data Analyst Intern supports data analysis projects by collecting, cleaning, and organizing data. They use tools like Excel, SQL, or Python to analyze datasets and help generate reports or visualizations for business insights. Interns often work under supervision, assisting with ongoing projects and learning industry best practices, which helps them gain valuable experience in data analytics and business intelligence.

What types of projects and tasks can a data analyst intern expect to work on during their internship?

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within the organization.

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

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

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

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

Is a data analyst internship worth it?

A data analyst internship provides practical experience with data analysis tools like Excel, SQL, and visualization software, which can enhance employability and skill development. It offers exposure to real-world projects and networking opportunities, making it valuable for those pursuing a career in data analysis.

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

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

What cities near Timonium, MD are hiring for Data Analyst Intern jobs?

Cities near Timonium, MD with the most Data Analyst Intern job openings:

Data Analyst Intern jobs near you

Scientific Data Analyst (Surveillance)

Goldbelt, Inc.

Silver Spring, MD

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Overview

Please note that this position is contingent upon the successful award of a contract currently under bid.

Goldbelt Apex, a part of the Healthcare Technology Transformation Group, is a data-focused company dedicated to process and quality in every aspect. As experts in healthcare IT experts, Apex is committed to building systems for healthcare organizations to seamlessly communicate and exchange data across different systems and devices. 

Summary:

Goldbelt Apex is seeking an experienced Scientific Data Analyst (Surveillance) to support the Defense Health Agency's Psychological Health Center of Excellence (PHCoE). This position provides analytical expertise supporting behavioral health surveillance, data management, statistical reporting, and decision support activities that inform psychological health programs across the Military Health System.

The successful candidate will analyze complex healthcare and behavioral health datasets, identify trends affecting Service Member health and readiness, develop data visualizations and reports, and support evidence-informed decision-making through advanced analytical techniques. This role works closely with Government stakeholders, researchers, epidemiologists, statisticians, and behavioral health professionals to transform data into actionable intelligence.


Responsibilities

Essential Job Functions:

  • Analyze large behavioral health, healthcare, and surveillance datasets to identify trends, patterns, and emerging issues affecting military populations.
  • Support psychological health surveillance initiatives through data collection, validation, analysis, and interpretation.
  • Develop dashboards, data visualizations, executive reports, and briefing materials that communicate analytical findings to Government leadership.
  • Perform data quality assessments and ensure the integrity, accuracy, and completeness of analytical products.
  • Support development and maintenance of surveillance metrics, performance indicators, and reporting methodologies.
  • Collaborate with researchers, statisticians, epidemiologists, clinicians, and Government stakeholders to support ongoing behavioral health research and surveillance initiatives.
  • Analyze healthcare utilization, behavioral health outcomes, and population health data to support strategic planning and policy development.
  • Develop reproducible analytical workflows using appropriate statistical and data management software.
  • Prepare technical documentation, analytical reports, presentations, and data summaries supporting contract deliverables.
  • Assist in integrating data from multiple healthcare and research sources to support comprehensive surveillance efforts.
  • Identify opportunities to improve data collection, reporting processes, and analytical methodologies.
  • Ensure analytical products comply with scientific standards, privacy requirements, and Government data management policies.
  • Support special studies, rapid response analyses, and emerging behavioral health initiatives as requested.

Qualifications

Necessary Skills and Knowledge:

  • Strong knowledge of healthcare and behavioral health data analysis.
  • Experience working with large, complex datasets from multiple data sources.
  • Proficiency with statistical software such as SAS, R, SQL, Python, SPSS, or comparable analytical tools.
  • Knowledge of data visualization platforms such as Tableau, Power BI, or similar business intelligence software.
  • Understanding of healthcare surveillance methodologies and performance measurement.
  • Knowledge of data governance, quality assurance, and validation techniques.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent technical writing and presentation skills.
  • Ability to communicate analytical findings to both technical and non-technical audiences.
  • Ability to work effectively within multidisciplinary scientific and healthcare teams.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, Health Informatics, Epidemiology, Mathematics, or a related discipline.
  • Meet all education and experience requirements identified in the solicitation for the Scientific Data Analyst labor category.
  • Demonstrated experience analyzing healthcare, behavioral health, public health, or scientific datasets.
  • Experience developing dashboards, performance metrics, and executive-level reports.
  • Experience supporting surveillance, epidemiology, population health, healthcare operations, or research initiatives.
  • Experience performing statistical analyses and interpreting complex analytical findings.
  • Experience integrating and validating data from multiple systems or databases.
  • Experience supporting Government agencies, healthcare organizations, research institutions, or comparable environments.
  • U.S. Citizenship.
  • Ability to obtain and maintain a Public Trust background investigation and Common Access Card (CAC).
  • Occasional travel may be required in support of contract performance.

Preferred Qualifications:

  • Preference may be given to candidates with experience supporting:
    • Defense Health Agency (DHA)
    • Psychological Health Center of Excellence (PHCoE)
    • Military Health System (MHS)
    • Department of Defense (DoD)
    • Department of Veterans Affairs (VA)
    • National Institutes of Health (NIH)
    • Centers for Disease Control and Prevention (CDC)
    • Department of Health and Human Services (HHS)
  • Experience supporting behavioral health surveillance or healthcare analytics.
  • Experience working with military healthcare or population health datasets.
  • Experience developing executive dashboards and business intelligence products.
  • Knowledge of healthcare data standards, data warehouses, and clinical information systems.
  • Experience supporting federally funded healthcare research programs.
  • Experience applying predictive analytics, machine learning, or advanced analytical methodologies to healthcare data.
  • Experience presenting analytical findings to senior leadership.

Pay and Benefits

The annual salary range for this position is $135,000 to $155,000. This is a proposal-contingent position. The salary range provided represents the anticipated compensation for this role; however, final compensation will be based on the successful contract award and the selected candidate's qualifications and experience.

At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Qualifications:

Necessary Skills and Knowledge:

  • Strong knowledge of healthcare and behavioral health data analysis.
  • Experience working with large, complex datasets from multiple data sources.
  • Proficiency with statistical software such as SAS, R, SQL, Python, SPSS, or comparable analytical tools.
  • Knowledge of data visualization platforms such as Tableau, Power BI, or similar business intelligence software.
  • Understanding of healthcare surveillance methodologies and performance measurement.
  • Knowledge of data governance, quality assurance, and validation techniques.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent technical writing and presentation skills.
  • Ability to communicate analytical findings to both technical and non-technical audiences.
  • Ability to work effectively within multidisciplinary scientific and healthcare teams.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, Health Informatics, Epidemiology, Mathematics, or a related discipline.
  • Meet all education and experience requirements identified in the solicitation for the Scientific Data Analyst labor category.
  • Demonstrated experience analyzing healthcare, behavioral health, public health, or scientific datasets.
  • Experience developing dashboards, performance metrics, and executive-level reports.
  • Experience supporting surveillance, epidemiology, population health, healthcare operations, or research initiatives.
  • Experience performing statistical analyses and interpreting complex analytical findings.
  • Experience integrating and validating data from multiple systems or databases.
  • Experience supporting Government agencies, healthcare organizations, research institutions, or comparable environments.
  • U.S. Citizenship.
  • Ability to obtain and maintain a Public Trust background investigation and Common Access Card (CAC).
  • Occasional travel may be required in support of contract performance.

Preferred Qualifications:

  • Preference may be given to candidates with experience supporting:
    • Defense Health Agency (DHA)
    • Psychological Health Center of Excellence (PHCoE)
    • Military Health System (MHS)
    • Department of Defense (DoD)
    • Department of Veterans Affairs (VA)
    • National Institutes of Health (NIH)
    • Centers for Disease Control and Prevention (CDC)
    • Department of Health and Human Services (HHS)
  • Experience supporting behavioral health surveillance or healthcare analytics.
  • Experience working with military healthcare or population health datasets.
  • Experience developing executive dashboards and business intelligence products.
  • Knowledge of healthcare data standards, data warehouses, and clinical information systems.
  • Experience supporting federally funded healthcare research programs.
  • Experience applying predictive analytics, machine learning, or advanced analytical methodologies to healthcare data.
  • Experience presenting analytical findings to senior leadership.

Pay and Benefits

The annual salary range for this position is $135,000 to $155,000. This is a proposal-contingent position. The salary range provided represents the anticipated compensation for this role; however, final compensation will be based on the successful contract award and the selected candidate's qualifications and experience.

At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Education:UNAVAILABLEEmployment Type: FULL_TIME

Apply