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Data Analytics Jobs in Halethorpe, MD (NOW HIRING)

Index Analytics

Data Analyst

Baltimore, MD · On-site

$75 - $110/hr

... Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related ... POSITION OVERVIEW The Data Analyst will support data analysis, reporting, and analytics solution ...

Index Analytics

Data Analyst

Baltimore, MD · On-site +1

$75K - $110K/yr

Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related ... POSITION OVERVIEW The Data Analyst will support data analysis, reporting, and analytics solution ...

Workiva

Spring 2027 Intern - Data Analytics

Largo, MD · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Bowie, MD · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Towson, MD · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

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All JobsData Analytics JobsData Analytics Jobs in Halethorpe, MD

Data Analytics information

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How much do data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data analytics in Halethorpe, MD is $53.47, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $60.58 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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

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

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

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

What cities near Halethorpe, MD are hiring for Data Analytics jobs?

Cities near Halethorpe, MD with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Halethorpe, MD as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $111,220 per year, or $53.5 per hour.

Data Analytics Manager (GYN/OB)

Johns Hopkins University

Baltimore, MD • On-site

Full-time

Posted 17 days ago

Key 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 creating new data when limited or no data exists.

  • Create and manage project plans for the quantitative data components of all teamwork.

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 631 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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