88 Data Visualization jobs in Baltimore

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.
• May have several Data Analysts as direct reports.
• Perform other related duties as requested.

Additional Information

• 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.

• Bachelor's Degree.
• Seven years of experience.
• Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

• PhD in epidemiology, demography, or related field.
• 5 or more years 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
Job Posting Title (Working Title):Data Analytics Manager
Role/Level/Range: ATP/04/PE
Starting Salary Range: $73,300 - $128,300 Annually (Commensurate w/exp.)
Employee group: Full Time
Schedule: Monday - Thursday: 9:00a - 5:00pm
FLSA Status:Exempt
Location:Remote
Department name: -Popltn Fmly and Reproductive Hlth Srvs
Personnel area: School of Public Health

Total Rewards
The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here:

Education and Experience Equivalency
Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.

Applicants Completing Studies
Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.

Background Checks
The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.

Diversity and Inclusion
The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion.

Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

EEOis the Law

Accommodation Information
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit

Vaccine Requirements
Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine.The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry.This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit all other JHU applicants should visit

The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend.

The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Bank of America or JPMorgan Chase among other leading organizations in the Baltimore area.

Are you eligible?
You can apply to Year Up United if you are:
- A high school graduate or GED recipient
- Eligible to work in the U. S.
- Available Monday-Friday throughout the duration of the program
- Highly motivated to learn technical and professional skills
- Have not obtained a Bachelor s degree
- You may be required to answer additional screening questions when applying

What will you gain?
Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week.

In-depth classes include:
- Business Operations
- Project Management
- Banking
- Customer Success
- IT Support
- Data Analytics

Get the skills and opportunity you need to launch your professional career.
75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

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.

• May have several Data Analysts as direct reports.

• Perform other related duties as requested.

Additional Information

• 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 experience.

• Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications

• PhD in epidemiology, demography, or related field.

• 5 or more years 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

Job Posting Title (Working Title): Data Analytics Manager

Role/Level/Range: ATP/04/PE

Starting Salary Range: $73,300 - $128,300 Annually (Commensurate w/exp.)

Employee group: Full Time

Schedule: Monday - Thursday: 9:00a - 5:00pm

FLSA Status: Exempt

Location: Remote

Department name: -Popltn Fmly and Reproductive Hlth Srvs

Personnel area: School of Public Health

The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.

Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more:

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

EEO is the Law

Job Summary:  

The IS Manager is responsible for planning, leading, organizing, and motivating the Data Analytics team within Global Enterprise Applications and Data to achieve a high level of performance and quality in delivering exceptional business value to users.  The IS Manager is expected to lead and manage the development, deployment, and support of new and existing capabilities, including machine learning

models and AI-driven analytics, as they relate to the Data Lake, the Data Warehouse, and other integrated solutions and services to meet the current and future needs of the business.  This role is responsible for managing a portfolio of efforts (projects, product backlogs, etc.), using Scaled Agile, in a fast-paced environment that may cross multiple operating companies and support organizations. Role also involves supporting data science teams by coordinating the development and operationalization of AI/ML models and pipelines. The IS Manager will leverage AI and machine learning techniques to enhance data-driven decision-making, optimize processes, and drive innovation across the organization.

Essential Functions:

• Acts as technology owner, accountable for implementation and maintenance of products/services within Data Analytics, partnering with Product Owners and Business Sponsors
• Manages deliverables, risks, status, and quality elements throughout the lifecycle for work efforts; validates operational readiness for production launches
• Measures progress toward goals and effectively communicates progress to appropriate stakeholders
• Establishes direction and clear sense of meaning to inspire teams to create their own connection and passion to the business goals
• Drives team members to leverage or develop well-defined practices and processes that aid in increasing productivity and minimizing waste
• Ensures work is delivered on time, within budget, adhering to high-quality standards and meeting customer expectations
• Provides transparency in execution and monitoring within delivery plans
• Ensures timely and appropriate escalation of delivery issues
• Evaluates conceptual aspects of technical designs of applications, systems, and solutions to ensure sound decisions and investments are made in accordance with application architecture governance policies and standard
• Assists the delivery manager in implementing the best practices as defined within the Portfolio Management Office (PMO), Agile CoE and SDLC standards and champions ongoing process improvement initiatives
• Anticipates and identifies tasks required to support change processing including performing change impact analysis, assigning tasks to project team
• members, verbally communicating complex issues, verifying that tasks are completed, and communicating implementation status
• Identifies and implements process improvements to increase efficiency, effectiveness, and overall service delivery performance

Supervisory or Management Responsibility:

• Management responsibility for the Data Analytics, and AI/ML teams, including hiring, leadership, development, and accountability for performance.
• Coach others in their development as a leader and/or a more complex problem solver, and focus on helping others formulate their development agenda
• Assists in team development while holding teams accountable for their commitments, removing roadblocks to their work; leveraging organizational resources to improve capacity for project work; and mentoring team members
• Promotes empowerment of the team, ensures that each team member is fully engaged in the project and makes a meaningful contribution, and encourages a sustainable pace with high levels of quality for the team
• Communicates and engages with highly technical knowledge workers. Able to challenge team thought processes to drive them to better solutions.
• Establishes operational/team objectives and goals.

Budget Responsibility:

• Contributes to the development of departmental budgets and actively manages budget to plan
• Shares fiscal responsibility for the organization’s technology investments and future planning of the organization’s spend
• Monitors and reports monthly cloud usage and spend

Minimum Education and/or Experience:

• Bachelor’s degree in Information Systems, Computer Science or equivalent
• Minimum of 10 years of Information Technology experience
• Experience with Data, Data Management and/or Data Analyticsand modern AI/ML ecosystem
• 3-4 Years Experience with Snowflake
• Experience with Matillion
• Experience with Python
• Experience working in an offshore/onshore collaborative environment
• Agile (SAFe) experience
• Experience with modern data architecture (e.g. data lakes, cloud platform AWS/GCP/Azure)
• Familiarity with AI/ML lifecycle management tools and practices.
• Solid understanding of and demonstrated experience in using appropriate tools: MS Office and VersionOne

Skills/Abilities: 

• Excellent oral and written communications skills
• Strong interpersonal skills including coaching, collaborating, and team building
• Proven ability to lead software development efforts or implement services and ensure objectives, goals, and commitments are met
• Strong analytical and problem-solving skills
• Solid technical project management and/or leadership skills including the ability to plan, organize, and steer activities with competing demands
• Developing knowledge and understanding of business needs with the ability to establish/maintain elevated level of customer trust and confidence
• Able to identify and understand complex problems/issues and develop solutions
• Ability to travel without restrictions (domestic and international).

Core Competencies:

• Build relationships
• Develop people
• Lead change
• Inspire Others
• Think critically
• Communicate clearly
• Create accountability

Benefits Overview:

Benefits are subject to change and may be subject to specific elections, plan, or program terms.  This role is eligible for the following:

• Medical, dental & vision
• Hospital plans
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
• Company paid Short and long-term disability
• Health & Dependent Care Spending Accounts (HSA & DCFSA)
• Transportation benefits
• Employee Assistance Program
• Tuition Assistance
• Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave)

Salary Range:

This position is bonus eligible. 

Salary range is $116,600-$174,800